Mem

I've been using Claude Code daily and the biggest pain point for me was that every session starts from zero. It doesn't remember what we debugged yesterday, what architectural decisions we made last week, or why we chose Kafka over REST. So I built KYP-MEM - Know Your Project (Memory) A two-layer memory architecture that runs as an MCP server alongside Claude Code: \* \*\*Session Memory (Episodic)\*\* — Every coding session is automatically captured: what was investigated, what changed, what was learned, what's next. Sessions are stored with vector embeddings so the agent can semantically search past work. Next time you open Claude Code, it already knows what happened last time. \* \*\*Project Intelligence\*\* — A structured knowledge base of Markdown files with wikilinks. Architecture docs, known bugs, key decisions, API references — all searchable by the agent during work. When it fixes a bug or makes a decision, it persists that knowledge for future sessions. \*\*Check it out\*\* \[https://github.com/Adhithya-Karthikeyan/KYP-MEM\](https://github.com/Adhithya-Karthikeyan/KYP-MEM) \*\*How it works in practice:\*\* You can ask "Why did we move from REST to Kafka?" and the agent will pull up the actual session where that decision was made, cite the reasoning, and link to the relevant project docs — without you having to explain any prior context. This is still early and I'm building it based on my own workflow, so I'd genuinely appreciate it if some of you could try it out and tell me: \* Is the session memory actually useful for your workflow, or just noise? \* What's missing that would make this a no-brainer for you? \* Any bugs or rough edges during install/setup? Happy to answer any questions. Feedback - positive or brutal - is welcome.

For anyone reading who wants the *outcome* (a wiki their agent can actually use) without spending a weekend re-learning the lessons from u/OrewaDeveloper here's the honest no-code landscape in 2026: I also have to say that I didn't understand how Karpathy's post went so viral. The end of the tweet, he says "I think there is room here for an incredible new product instead of a hacky collection of scripts." He's literally just describing all the AI second brain tools / AI personal knowledge-based solutions out there today. 1. **Notion AI (AI workspace):** Strong wiki, weak agent memory. Good if your team already lives in Notion and you mostly want Q&A over docs. Doesn't really do the "decision log the agent writes to" pattern out of the box. This is great if your primary focus is just taking personal notes. 2. **Recall (Personal AI Knowledge base):** Save anything (web pages, YouTube, PDFs,Podcasts, your own notes), it auto-tags, summarizes and graphs them, and exposes the whole thing to Claude / ChatGPT / Gemini over MCP. Closest match to the wiki-as-agent-memory pattern OP described, without writing the plumbing. This is great if your primary focus is online content, YouTube videos, podcasts, PDFs, etc. 3. **Mem (get.mem.ai):** Self-organizing notes, lighter on the agent-integration side. Nice if you want a "smart Apple Notes" and don't need MCP. They are like the original AI second brain. 4. **Reflect / Tana** : Graph-based notes with AI features. Great for personal thinking, less aimed at being an agent's long-term store. The cool thing about Tana is it's focused on voice notes, which is really nice when you're on the go. 5. **Obsidian + plugins** : Still the power-user pick if you want full local control. Closest no-code-ish path to what OP built, but you're back to maintaining plugins. If you want a team wiki, use Notion. If you want personal knowledge base that makes your knowledge the center of the conversation, use Recall or rolling it yourself like OP did are the three real options.

The crazy thing is, at least in my case, corporate cybersecurity actually blocks Evernote and tells us we have to uninstall it. Apparently they have its concerns over data exfiltration. I don’t know if they’re chasing the corporate clients, but the megacorp I work for is just one example that no longer lets it in the door. I think they'll need evidence of E2EE or something assuring data privacy and security... SOC 2 or something certification. I’ve been with Evernote since its beta days—I was there from day one—but at this point, I’ve had to finally bow out. I can’t justify the cost anymore. It’s $250 a year. I work in IT and am compelled to familiarize myself with AI and its popular frontier products. So I’m also under a professional compulsion to subscribe to the leading three from my own pocket to learn them intimately and become familiar with how to use and implement them. Becoming AI competent is become necessary just to keep my job, even as we train it to replace us at some point. It’s crazy. I mean this to say: subscription fatigue rules my world. For Evernote, which was my 'library' of personal data and knowledge base, the price is even more expensive than those other tools. I just can’t justify it anymore. Plus, I can no longer install it on the corporate laptop. I’m one of the many people who was there from day one—its introduction was in beta 2006-7 or so and formal rollout in 2008. Alas, now, I have to say goodbye. I've been subscribed to [Mem.ai](http://Mem.ai) for a few years now and have largely transitioned to it. It's more knowledge recall than note-taking note-studying that one can do in Evernote. For my use case I need someplace to dump my knowledge and be able to recall it when I need it. This has worked outstandingly well for me. Not an equal feature-for-feature peer of Evernote in that Evernote has organization with folders. I have an obsidian wiki based on Andrej Karpathy and claude code which uses Obsidian browser extension to capture web pages and claude code to extract knowledge from them, create detailed notes, and then organize them into the wiki in Obsidian (its easy and amazing). Mem has an MCP integration option to Claude so after those notes are created I tell Claude to, "add those notes into my Mem account", and it takes care of the rest. "look ma, no hands" I use basic automations like this for apps like [Hedy.ai](http://Hedy.ai) and [Photes.io](http://Photes.io) to capture knowledge from anywhere (screenshots, web pages, camara pics, meetings, teams, slack huddles, etc.), they all are auto-funneled into my Mem ready for recall. I pay $12 a month for Mem, $3 a month for Photes.io. I'm subscribed to Claude and already have a lifetime subscription to Hedy.ai (back in Dec '24 it cost $40 for lifetime, now its $300 and still worth it (or $100 per/yr)). My knowledge base is 'naturally' stored redundantly in multiple places. In the origin app/service they were captured in, and I have a Zapier Zap that creates a Google Doc from every new note I create in Mem. That's the hail mary if all else implodes. My wish is that there was some automation that existed that would allow me to auto funnel my mem notes into my notesnook account, as it may be the more viable peer alternative to Evernote to serve as a library of knowledge. But Notesnook doesnt have that capability of integration, just the ability to manually import. These are subscriptions I already have, so my pivot from Evernote has not been one where I incur additional costs. Jebus crispies I write too much...

Hey everyone, as the title, I'm looking for an AI planner. My imagination is to have something that act like an assistant, tell me what to do, plan stuff cause I have too many projects and threads to keep track of. I've tested briefly many tools, but would also like to hear about your experience. For context, here's what I found * **ChatGPT -** Well, I tried to use it for this case, but quite tiring * **Motion** \- auto-schedules, but it can feel like too much due too all the button, fields... or it's just my ADD talking lol * **Reclaim ai** \- decent AI calendar app, solid free plan, no mobile app tho which is kinda a deal breaker * **Saner ai** \- brain dump and it plans out your day from that plus your notes, emails, calendar. decent, but checking if it's actively developing * **Sunsama:** you manually drag tasks into your calendar, the design feels good. The problem is its pricey for something that only have kinda beta AI * **Mem ai** \- turn out its core features are kinda similar to notebooklm, not suitable as a planner What are you guys using? please share

I love [Mem AI](https://mem.ai?via=home) for notes; transformative! (Use code 'MEMORY' for 20% off on all payments within the first 3 months) A close second would be [Fabric.so](https://fabric.so?via=superdealios), it syncs your phone screenshots and enables semantic search of them, along with your other data, integrates a bunch of your other cloud services like Google drive, Dropbox, and a host of other second brain features. Bought a 3 year license and couldn't be happier. Another one I'm trying out is quite similar called [Remio.AI](https://account.remio.ai/login?ref=2q2Ex3). Got a year sub to try it out. So far I really enjoy the UX, and it's a bit more notes focused than files focused vs Fabric. It also auto syncs your desktop files, other integrations, and is in active development like Fabric. One really cool feature is the hands off chrome extension that essentially captures what you are browsing (blacklisting available) without manually deciding what to capture, and auto summarizes the content. Still debating if I prefer this to the manual capture of Fabric and [Mem.AI](https://mem.ai?via=home). Downside is no Web version (desktop/mobile only), which is an interesting choice.

I'm in a similar spot. git blame doesn't work with agentic workflows. Esp when you want to trace which code was written by each model - eg was it codex xhigh or codex low? Agent/model hit attribution is solved with Source Trace (https://marketplace.visualstudio.com/items?itemName=srctrace.source-trace). It writes line-level metadata into git note. And has wrapper around git blame.  For session context try Claude-mem (https://claude-mem.ai/), IMHO it's the most polished opensource solution out there. If you're building your own, you can borrow some ideas - like using cheap model to summarise your chats. Just don't use "claude -p", given recent news :)

Im going to skip the throat clearing. I lead a small team building vertical agents in legal tech. weve built five so far, two in production, one that almost shipped and got killed by enterprise procurement. the longer i do this, the more convinced i am that the conversation in this sub is mostly focused on the wrong layer. People argue endlessly about react vs reflexion vs whatever the new orchestration paper this week is. fine. those matter at the margin. but the actual production failure mode in every system weve shipped is not the agent reasoning. its that agent A doesnt know what agent B did 20 minutes ago, and the user has to manually paste context between them. or worse, the user gives up and goes back to chatgpt because at least that has memory now. Context fragmentation is the real bottleneck. I think this happens because most of us came up training models, not designing operating systems. we treat memory as a vector store you bolt on the side. but in production what you actually need is something closer to a shared context bus that every agent can read from and write to, scoped per user or per project, with provenance. nobody has shipped a clean version of this yet inside a coherent product. its all bespoke per deployment. The cut that matters in practice is not "do you have memory" but "how does the context actually get into the system in the first place". four broad paths the field is betting on right now, each with very different tradeoffs: 1. Chat-driven memory. ChatGPT memory rollout, Claude Projects, Cursor's per-project memories. the system learns from whats said inside the chat surface itself. cleanest signal because the user is literally typing their intent. but its scoped to one app and only covers what they remembered to say. everything that happened in slack, in a doc, in a meeting outside that surface, is invisible to it. 2. Schema-driven connectors. MCP servers, OpenAPI integrations, the connector ecosystem (zapier, paragon, etc). agent pulls structured context from gdrive/notion/linear on demand. coverage is wide on paper, in practice it covers whatever the user took the trouble to connect, and its still pull-based, the agent has to know what to ask for. MCP is moving the spec in the right direction but the memory ergonomics arent there yet. 3. OS-level observation. AirJelly on macos, screenpipe in the OSS lane, what limitless was doing on the pendant side before meta bought them in december, what apple keeps gesturing at across WWDC keynotes but hasnt put into siri at any usable depth. always-on capture at the screen/audio layer, local OCR + embedding, the system gets a continuous timeline of what the user actually did instead of what they remembered to log. noisiest signal of the four but the only one that captures events that never made it into any app. closest to ground truth, hardest to do well. 4. Curated knowledge index. Notion AI, mem.ai, obsidian + a rag plugin. retrieval over notes the user already wrote down. signal quality is high because the user already filtered, but its lagging and partial. you only see what got into the vault, which is a small fraction of what actually happened. If im honest, the path im rooting for from a backend-agent-builder perspective is #3, and its not because i love always-on capture on my desktop. the privacy and battery tradeoffs are real, the products on this path are still rough at the edges, and most of them are pitched at the wrong audience right now (productivity end users) not the right one for our problem (agent infra). but my agents dont need the user's curated notes. they need to know "what was the user actually doing at 2pm tuesday when they pinged me about contract X". paths 1, 2 and 4 all require the user (or some upstream system) to have already created the artifact. path 3 doesnt. for a set of agents thats supposed to feel coherent across a workday, having a single per-user timeline that every agent can read from changes the shape of whats possible. the products on this path are early and consumer-facing today, but the architecture is the one id want to build my own context bus against, not the connector-graph one were all defaulting to. MemGPT got attention for the sliding window stuff but the deeper insight buried in that paper, that memory has to be hierarchical, hasnt been picked up enough by application teams. whichever path wins, the layering question still has to be solved on top of it. The team that figures out the right primitive for cross agent context will win this. its not going to be the team with the cleverest agent loop. agent loops are commoditizing fast. context isnt. Im going to keep building agents either way but my money is on context being the real moat for the next 18 months.

Your point of how systems break the capture phase is right and the tip of 'capture first and organise later' is on point however I must say that organisation has its need. If you are writing is regarding a project, which will have topics, and not put into a collection, would make related items difficult to find and go back to, at a later point of time. Many apps provide folders for organising - One Note for example. Some provide hashtags - Mem ai. And many have both - Apple Notes. For sub topics one can nest further. One could decide to not use folders or hashtags but then for retrieval they are left with the only option which is having to search by the content. The point of capture first organise later is a tip and it applies to all forms of writing purposes and apps like TickTick have done a good job in this regard through icons on the note heading to add to a related folder which doesn't distract during capture phase. Chrome Notepad has gone one step further by even doing away with a heading when starting to write something down because the lesser the decisions to make at capture phase the better it is to not lose the train of thought. No wonder people still call the pen and paper their favourite. Sam Altman in an interview spoke of a little diary he carries around with him (capture) and then how he tears pages out later when he needs to put related ideas together (organise) Speaking of note taking methods, each of those methods are popular approaches for a purpose. Zettelkasten is for when someone is researching a topic. Cornell Note-Taking is when someone is writing notes for studying. PARA for project driven work. Every digital system at its core needs to provide a frictionless capture phase and an organisation approach among the many for it to be a useful one. Lastly I would like to add that capture first organise later mantra doesn't apply everytime and for everyone - think of someone sitting to write an article about a topic already thought of - an onboarding article, an article to be published for a blog or newspaper and the author is intentionally sitting to write on it. That no system is perfect and one should learn various systems and use the one that applies to them and finally tweak it a little to their unique needs.

I don't trust any mod that has AI generated description with technical buzz words to make it seem important. Chances are the config file was also edited by AI, cause it changes a lot of random values that don't make any sense. <MaxDataResourcesNextPrime value="659373"/><!-- Should be a prime number --> The dev note says is should be a prime number, and there could be many good reasons why they left that note there. For example, prime numbers can be used in hash tables, to spread data evenly and avoid collisions (which can cause performance issues and even crashes). Originally the value was 655373, which IS a prime number. Mod changed it to 659373 which is not a prime number. This is just one of MANY concerning edits the mod makes. It actually changes entire sections with seemingly no rhyme or reason: <ConfigGraphics> <MaxWritableResources value="36000"/> (default 25000) <fPercentageForStreamer value="1.0" /> (default 0.85) <fPercentageForCache value="0.5" /> (default 0) <MaxDataResources value="659360"/> (default 655360) <MaxDataResourcesNextPrime value="659373"/><!-- Should be a prime number --> (default 655373) <MaxDataResourcesDuplicateCache value="36864"/> (default 16384) <aiTextureMaxMem> <aiTextureMaxMem\_0\_Base value="120000"/> (default 1400) <aiTextureMaxMem\_1\_Base value="120000"/> (default 1600) <aiTextureMaxMem\_2\_Base value="120000"/> (default 2100) <aiTextureMaxMem\_3\_Base value="120000"/> (default 2500) </aiTextureMaxMem> I added the default values myself for comparison. I don't think the mod author has any clue what he's doing, just throwing numbers at a wall to see what sticks, or letting AI do all the work. I installed the mod and my VRAM usage maxed out within minutes of playing (16GB VRAM). I'm not running this guy's AI scripts and I wouldn't advise anyone else.

For important information like identification, passwords, and such, I use BitWarden. For everything else: For notes and project management, definitely try out [ByDesign.io](https://bydesign.io?fpr=home). I've tried a lot of different productivity tools out there and so far this one seems to work the best for my brain as well as has the flexibility to manage both notes tasks and my calendar seamlessly while being able to drag and drop basically anything. The AI scheduling feature is pretty neat too. Use code '20OFF' for 20% discount. I also love [Mem AI](https://mem.ai?via=home) for notes; transformative! (Use code 'MEMORY' for 20% off on all payments within the first 3 months) A close second would be [Fabric.so](https://fabric.so?via=superdealios), but they do a lot of other things for second brain junkies. Granola, Hedy AI and [Mem AI](https://mem.ai?via=home) are great for AI notetaking. Also testing [TwinMind](https://twinmind.app/n385/lmr20jin) currently and I'm impressed so far. All 4 are epic in their own way, but my favourite app has to be Mem AI (can use code '20OFF' for 20% off first 3 months). Everything has a purpose LOL, but I'm partial to tools that are free or offer a lifetime deal since I hate subscriptions. for long-term use.

The Rewind replacement question is more complicated than it looked at first. Rewind was quietly doing two separate things. Passive capture, so it caught things before you knew you'd need them. And retrieval, so you could surface any of it later. When it died both problems needed separate answers and the tools that exist are mostly built for one or the other. Mem.ai I used for a few months. Good at connecting notes you deliberately put in. Doesn't see the screen, doesn't capture ambient context. Smart memory for intentional inputs. Screenpipe for passive capture. Self-hosted, genuinely local, search works. The retrieval is functional but acting on what you find is still manual. It's a very good archive. Invoko for on-demand context and execution. Reads current screen, runs cross-app tasks. Fast for what's visible. Can't go backwards. Fabric I tried more recently. Ingests from a lot of sources and makes connections across them. Interesting approach to the retrieval problem. Doesn't fully replace the ambient capture. What I don't have: something that catches things passively and makes them easy to act on. Screenpipe gets you halfway. The second half is still a gap. What are people using?

For getting into the flow at work my go to is [Blitzit](https://blitzit.app/?via=goomibare) every time. There's no better app for keeping you on track and staying out of your way at the same time! Feel free to use code 'DISCORD30' for 30% off. (works on the lifetime deal too!) (I used to use [TwosApp.com](https://www.TwosApp.com?code=curtastrophe) for day-to-day task carry over, but found I didn't like the way each note and task was a "thing" and how it worked in general.) For notes and project management, definitely try out [ByDesign.io](https://bydesign.io?fpr=home). I've tried a lot of different productivity tools out there and so far this one seems to work the best for my brain as well as has the flexibility to manage both notes tasks and my calendar seamlessly while being able to drag and drop basically anything. The AI scheduling feature is pretty neat too. Use code '20OFF' for 20% discount. I also love [Mem AI](https://mem.ai?via=home) for notes; transformative! (Use code 'MEMORY' for 20% off on all payments within the first 3 months) A close second would be [Fabric.so](https://fabric.so?via=superdealios), but they do a lot of other things for second brain junkies. For email, I use [Superhuman](https://superhuman.com/refer/nt21xzzu) for outlook (day job) and Shortwave for Gmail (non-profit work). I prefer Shortwave but they don't support outlook right now. AI writing your emails natively using your past emails as knowledge AND writing samples is a game-changer! Granola, Hedy AI and [Mem AI](https://mem.ai?via=home) are great for AI notetaking. Also testing [TwinMind](https://twinmind.app/n385/lmr20jin) currently and I'm impressed so far. All 4 are epic in their own way, but my favourite app has to be Mem AI (can use code '20OFF' for 20% off first 3 months). I've probably tested at least 80% of the market for AI meeting transcribers, but there are always new ones popping up every day lol. Additionally, [wisprflow.ai](https://ref.wisprflow.ai/superdealios) for voice dictation, although you can also use Clickup Brain Max or Highlight AI for this as well. Highlight I use for anything AI and is also a sleeper I'd pay for. Better than Cluely or any other "floating AI" offering I've tried so far. That said, I still use [Perplexity Pro](https://pplx.ai/superdealios) if I need to do research. [Raycast](https://raycast.com/?via=Superdealios) has also been great so far as an alternative to PowerToys. But I'm really waiting for full extension store compatibility (for Windows). Finally, [Zo Computer](https://zo-computer.cello.so/BGRcRXQWJ6l) has become my go-to AI agent for anything that needs actual execution, not just chat. It's an AI with its OWN computer - files, terminal, web browser, integrations with Gmail/Calendar/Notion/Linear, can host websites, run scheduled automations, and has persistent memory. It's like Perplexity + a dev environment + an automation platform all in one, but the AI actually does the work instead of just suggesting things. Blows Manus and OpenClaw out of the water! (source: I have a Manus sub as well) Everything has a purpose LOL, but I'm partial to tools that are free or offer a lifetime deal since I hate subscriptions.

For getting into the flow at work my go to is [Blitzit](https://blitzit.app/?via=goomibare) every time. There's no better app for keeping you on track and staying out of your way at the same time! Feel free to use code 'DISCORD30' for 30% off. (works on the lifetime deal too!) (I used to use [TwosApp.com](https://www.TwosApp.com?code=curtastrophe) for day-to-day task carry over, but found I didn't like the way each note and task was a "thing" and how it worked in general.) For notes and project management, definitely try out [ByDesign.io](https://bydesign.io?fpr=home). I've tried a lot of different productivity tools out there and so far this one seems to work the best for my brain as well as has the flexibility to manage both notes tasks and my calendar seamlessly while being able to drag and drop basically anything. The AI scheduling feature is pretty neat too. Use code '20OFF' for 20% discount. I also love [Mem AI](https://mem.ai?via=home) for notes; transformative! (Use code 'MEMORY' for 20% off on all payments within the first 3 months) A close second would be [Fabric.so](https://fabric.so?via=superdealios), but they do a lot of other things for second brain junkies.

For getting into the flow at work my go to is [Blitzit](https://blitzit.app/?via=goomibare) every time. There's no better app for keeping you on track and staying out of your way at the same time! Feel free to use code 'DISCORD30' for 30% off. (works on the lifetime deal too!) (I used to use [TwosApp.com](https://www.TwosApp.com?code=curtastrophe) for day-to-day task carry over, but found I didn't like the way each note and task was a "thing" and how it worked in general.) For notes and project management, definitely try out [ByDesign.io](https://bydesign.io?fpr=home). I've tried a lot of different productivity tools out there and so far this one seems to work the best for my brain as well as has the flexibility to manage both notes tasks and my calendar seamlessly while being able to drag and drop basically anything. The AI scheduling feature is pretty neat too. Use code '20OFF' for 20% discount. I also love [Mem AI](https://mem.ai?via=home) for notes; transformative! (Use code 'MEMORY' for 20% off on all payments within the first 3 months) A close second would be [Fabric.so](https://fabric.so?via=superdealios), but they do a lot of other things for second brain junkies. For email, I use [Superhuman](https://superhuman.com/refer/nt21xzzu) for outlook (day job) and Shortwave for Gmail (non-profit work). I prefer Shortwave but they don't support outlook right now. AI writing your emails natively using your past emails as knowledge AND writing samples is a game-changer! Granola, Hedy AI and [Mem AI](https://mem.ai?via=home) are great for AI notetaking. Also testing [TwinMind](https://twinmind.app/n385/lmr20jin) currently and I'm impressed so far. All 4 are epic in their own way, but my favourite app has to be Mem AI (can use code '20OFF' for 20% off first 3 months). I've probably tested at least 80% of the market for AI meeting transcribers, but there are always new ones popping up every day lol. Additionally, [wisprflow.ai](https://ref.wisprflow.ai/superdealios) for voice dictation, although you can also use Clickup Brain Max or Highlight AI for this as well. Highlight I use for anything AI and is also a sleeper I'd pay for. Better than Cluely or any other "floating AI" offering I've tried so far. That said, I still use [Perplexity Pro](https://pplx.ai/superdealios) if I need to do research. [Raycast](https://raycast.com/?via=Superdealios) has also been great so far as an alternative to PowerToys. But I'm really waiting for full extension store compatibility (for Windows). Finally, [Zo Computer](https://zo-computer.cello.so/BGRcRXQWJ6l) has become my go-to AI agent for anything that needs actual execution, not just chat. It's an AI with its OWN computer - files, terminal, web browser, integrations with Gmail/Calendar/Notion/Linear, can host websites, run scheduled automations, and has persistent memory. It's like Perplexity + a dev environment + an automation platform all in one, but the AI actually does the work instead of just suggesting things. Blows Manus and OpenClaw out of the water! (source: I have a Manus sub as well) Everything has a purpose LOL, but I'm partial to tools that are free or offer a lifetime deal since I hate subscriptions.

The automation stack I have works. Zapier for structured triggers, Make for anything more complex, Otter for transcripts. What doesn't fit into any of it is the unstructured context from actual human conversations. After Rewind died I tried Mem. ai for a few weeks. The idea is good. It ingests your notes and resurfaces relevant things. Where it fell apart for me was the gap between "this is surfaced" and "I can act on it." Still manual. Still me copying things between windows. Fireflies I've been using for meeting recordings. That piece is fine. The problem is what happens between meetings. More recently I've been experimenting with Invoko for the cross-app execution layer. When I have a thread, a doc, and an email open, I can describe what I want done across them and it does it. What it can't do is watch passively. If I don't invoke it in the moment, that moment isn't captured. The ambient intelligence piece, where something surfaces before you know you need it, I haven't found a real answer for. Screenpipe gets closest but acting on what it captures is still clunky. Anyone actually cracked the capture-to-action step?

I was exploring openclaw alternatives and the annoying thing is that everyone seems to mean something different by alternative. some people want a lighter openclaw. some want safer self hosting. some want a business tool. some just want an ai thing that can answer emails or do research without turning into a weekend project. so instead of ranking them like best to worst, i started grouping them by what i think people are actually trying to replace. Openclaw-ish tools / lighter agent setups - Nanobot: probably the one i see mentioned most when people want something smaller and easier to understand - ZeroClaw: rust based, seems more focused on speed and lower resource usage - NanoClaw: more security/container angle from what i can tell - PicoClaw: more minimal, probably for people who want to tinker - LightClaw: small python style project, seems more for people who want a simpler base - KiloClaw: closer to the hosted/openclaw wrapper side Business / ai worker tools - Taskade AI Agents: more team/workspace based agents - Marblism: prebuilt ai workers for inbox, social, leads, calls etc. - Relevance AI: build business agents with templates - Lindy: build agents for sales, support, ops, etc - Manus: more general autonomous task agent - Motion: scheduling plus work planning, not really openclaw but overlaps for admin stuff Workflow automation with ai added - Zapier Agents: best if you already live in zapier - Make: visual automations, can get messy but powerful - n8n: good if you want more control and do not mind setup - Activepieces: open source workflow automation - Relay: more approval/workflow focused Browser / desktop task automation - Bardeen: good for repetitive browser tasks - Gumloop: visual workflows and scraping style tasks - Browserbase: more for people building browser agents - OpenLoop: desktop automation angle - Perplexity Computer: interesting if you want computer-use style browsing - Cline: not the same thing, but useful if your openclaw use case is mostly dev work Developer frameworks - LangGraph: good if you want control over state and agent flows - LangChain: big ecosystem, lots of integrations - CrewAI: role based multi-agent workflows - AutoGen: microsoft multi-agent framework - OpenAI Agents SDK: more build-your-own-agent direction - Pydantic AI: python agents with more structure Sales / lead gen - Clay: lead research and enrichment - Apollo: prospecting and outreach - Instantly: cold email and follow ups - Saleshandy: outreach sequences - Salesforce Agentforce: crm agents, more enterprise - Seamless AI: contact data and lead lists Inbox / admin / meetings - Superhuman AI: inbox triage and email help - SaneBox: not really an agent, but useful for inbox noise - Cora: ai chief of staff style inbox sorting - Fathom: meeting notes and summaries - Otter: meeting transcription - Reclaim: calendar scheduling and focus time Voice / receptionist / phone agents - Phonely: ai phone agent / receptionist style tool - AIRA: budget ai receptionist for small businesses - Upfirst: low-cost ai answering service - Echowin: ai phone answering and call routing - Trillet: ai receptionist with sms and whatsapp angle - Sockly: done-for-you ai receptionist setup - VoiceFleet: ai receptionist focused more on local/eu phone needs - DeskBuddy: ai receptionist for small service businesses Customer support / chat - Tidio: ai chat and support - Intercom: support agent with fin - Decagon: customer support agents across chat, email, and voice - Maven AGI: enterprise cx agents that can take actions across systems - Sierra: customer-facing agents for bigger brands - Capacity: ai support automation and knowledge base workflows - Zowie: ecommerce support automation - DocsBot: turn docs into a support bot Personal assistant tools - Granola: meeting notes that feel less clunky than most note takers - Fireflies: meeting recording, summaries, follow ups - Jamie: meeting notes without needing a bot in the call - Clockwise: calendar optimization for teams - Morgen: calendar/task planning across tools - Akiflow: daily planning and task capture - Mem: ai notes and knowledge base - Limitless: personal memory and meeting capture my takeaway so far is that openclaw is not really being replaced by one thing. it depends what part you liked. what people here are actually using. anything on this list that held up after the initial excitement?

For getting into the flow at work my go to is [Blitzit](https://blitzit.app/?via=goomibare) every time. There's no better app for keeping you on track and staying out of your way at the same time! Feel free to use code 'DISCORD30' for 30% off. (works on the lifetime deal too!) (I used to use [TwosApp.com](https://www.TwosApp.com?code=curtastrophe) for day-to-day task carry over, but found I didn't like the way each note and task was a "thing" and how it worked in general.) For notes and project management, definitely try out [ByDesign.io](https://bydesign.io?fpr=home). I've tried a lot of different productivity tools out there and so far this one seems to work the best for my brain as well as has the flexibility to manage both notes tasks and my calendar seamlessly while being able to drag and drop basically anything. The AI scheduling feature is pretty neat too. Use code '20OFF' for 20% discount. I also love [Mem AI](https://mem.ai?via=home) for notes; transformative! (Use code 'MEMORY' for 20% off on all payments within the first 3 months) A close second would be [Fabric.so](https://fabric.so?via=superdealios), but they do a lot of other things for second brain junkies. For email, I use [Superhuman](https://superhuman.com/refer/nt21xzzu) for outlook (day job) and Shortwave for Gmail (non-profit work). I prefer Shortwave but they don't support outlook right now. AI writing your emails natively using your past emails as knowledge AND writing samples is a game-changer! Granola, Hedy AI and [Mem AI](https://mem.ai?via=home) are great for AI notetaking. Also testing [TwinMind](https://twinmind.app/n385/lmr20jin) currently and I'm impressed so far. All 4 are epic in their own way, but my favourite app has to be Mem AI (can use code '20OFF' for 20% off first 3 months). I've probably tested at least 80% of the market for AI meeting transcribers, but there are always new ones popping up every day lol. Additionally, [wisprflow.ai](https://ref.wisprflow.ai/superdealios) for voice dictation, although you can also use Clickup Brain Max or Highlight AI for this as well. Highlight I use for anything AI and is also a sleeper I'd pay for. Better than Cluely or any other "floating AI" offering I've tried so far. That said, I still use [Perplexity Pro](https://pplx.ai/superdealios) if I need to do research. [Raycast](https://raycast.com/?via=Superdealios) has also been great so far as an alternative to PowerToys. But I'm really waiting for full extension store compatibility (for Windows). Finally, [Zo Computer](https://zo-computer.cello.so/BGRcRXQWJ6l) has become my go-to AI agent for anything that needs actual execution, not just chat. It's an AI with its OWN computer - files, terminal, web browser, integrations with Gmail/Calendar/Notion/Linear, can host websites, run scheduled automations, and has persistent memory. It's like Perplexity + a dev environment + an automation platform all in one, but the AI actually does the work instead of just suggesting things. Blows Manus and OpenClaw out of the water! (source: I have a Manus sub as well) Everything has a purpose LOL, but I'm partial to tools that are free or offer a lifetime deal since I hate subscriptions.

For getting into the flow at work my go to is [Blitzit](https://blitzit.app/?via=goomibare) every time. There's no better app for keeping you on track and staying out of your way at the same time! Feel free to use code 'DISCORD30' for 30% off. (works on the lifetime deal too!) (I used to use [TwosApp.com](https://www.TwosApp.com?code=curtastrophe) for day-to-day task carry over, but found I didn't like the way each note and task was a "thing" and how it worked in general.) For notes and project management, definitely try out [ByDesign.io](https://bydesign.io?fpr=home). I've tried a lot of different productivity tools out there and so far this one seems to work the best for my brain as well as has the flexibility to manage both notes tasks and my calendar seamlessly while being able to drag and drop basically anything. The AI scheduling feature is pretty neat too. Use code '20OFF' for 20% discount. I also love [Mem AI](https://mem.ai?via=home) for notes; transformative! (Use code 'MEMORY' for 20% off on all payments within the first 3 months) A close second would be [Fabric.so](https://fabric.so?via=superdealios), but they do a lot of other things for second brain junkies. For email, I use [Superhuman](https://superhuman.com/refer/nt21xzzu) for outlook (day job) and Shortwave for Gmail (non-profit work). I prefer Shortwave but they don't support outlook right now. AI writing your emails natively using your past emails as knowledge AND writing samples is a game-changer! Granola, Hedy AI and [Mem AI](https://mem.ai?via=home) are great for AI notetaking. Also testing [TwinMind](https://twinmind.app/n385/lmr20jin) currently and I'm impressed so far. All 4 are epic in their own way, but my favourite app has to be Mem AI (can use code '20OFF' for 20% off first 3 months). I've probably tested at least 80% of the market for AI meeting transcribers, but there are always new ones popping up every day lol. Additionally, [wisprflow.ai](https://ref.wisprflow.ai/superdealios) for voice dictation, although you can also use Clickup Brain Max or Highlight AI for this as well. Highlight I use for anything AI and is also a sleeper I'd pay for. Better than Cluely or any other "floating AI" offering I've tried so far. That said, I still use [Perplexity Pro](https://pplx.ai/superdealios) if I need to do research. [Raycast](https://raycast.com/?via=Superdealios) has also been great so far as an alternative to PowerToys. But I'm really waiting for full extension store compatibility (for Windows). Finally, [Zo Computer](https://zo-computer.cello.so/BGRcRXQWJ6l) has become my go-to AI agent for anything that needs actual execution, not just chat. It's an AI with its OWN computer - files, terminal, web browser, integrations with Gmail/Calendar/Notion/Linear, can host websites, run scheduled automations, and has persistent memory. It's like Perplexity + a dev environment + an automation platform all in one, but the AI actually does the work instead of just suggesting things. Blows Manus and OpenClaw out of the water! (source: I have a Manus sub as well) Everything has a purpose LOL, but I'm partial to tools that are free or offer a lifetime deal since I hate subscriptions.

the friction problem is real but the diagnosis is partly wrong. "managing folders and tags" isn't what kills note-taking, lack of review is. you can capture into anything, even a plain text file, and if you go back to it weekly the system works. you can spend an hour PARA-tagging and never review and the system fails. tools mostly differ on capture, but capture isn't where notes earn their keep. AI-bridges-old-and-new-notes (the dromediary pitch) is a real feature already shipped by [mem.ai](http://mem.ai), reflect, and now apple notes' new search. in practice the AI-connection layer does one of two things: surfaces a too-related thing (you wrote about productivity in march, you're writing about productivity now, "connection" is just topic overlap you'd have remembered anyway) or surfaces something genuinely off-axis you wouldn't have searched for, which is the actual win. the first is what most apps actually deliver. the second is hard, and not really an AI-quality problem so much as an embedding-vs-semantic-distance problem nobody's nailed. what works for me regardless of tool: a weekly 10-minute "what was i thinking about this week" review that just opens daily notes / capture inbox in chronological order. AI suggestions surface during that pass, not at write time. write time is for capture only, no decisions. retrieval time is where connection-finding lives. mixing them at the moment of write is what produces the friction you're describing. scheduling review time, like neon-cricket8617 said, is the load-bearing habit. once that's in place the tool barely matters.

The way I see it is that the entire DB version split hassle seems to be driven by one feature: Manual Block Ref/Embeds. What if we just dropped that and kept everything else? These should still work: \- Journal-first: Tag a block with \[\[Project X\]\] in your daily log. \- Live Sync: Edit a block on the Project X page (in the backlinks), and it updates the original journal entry, and vice versa. You still see all your scattered notes aggregated at the end of the page in chronological order (but only in that order, or reverse, in a list.) In the cost of: \- Manual Block Ref/Embeds: You wont be able to "copy block ref/copy block embed" and paste a specific block into the middle of a different document to build a manual outline. \- (and the collaboration sync) If we ditch this one feature, we won't need a complex Database or UUID clutter. It will make the app fast, stable, and Markdown will stay as the source of truth. Syncing will be less error prone, I might be able to quickly build a cross platform flutter app on it too. Is manual embedding a dealbreaker, or would you trade it for a snappier, "unpolluted" Logseq experience? My hunch was that unless you are a heavy user (in which case I think DB is indeed the correct way forward) it wont be a dealbreaker. lmk if I am missing sth. EDIT: ​My point is that 'Manual Block Embedding' is the primary reason our Markdown files get cluttered with UUIDs. I'm just curious if there's a niche for people who prefer 'File Purity' and 'Speed' over that specific feature. It’s a trade-off discussion, not a feature request for the official Logseq or disagreeing with the choice to move to db. EDIT2: I've gave it another thought, and I think the bidirectional many-to-many relationships require block references and the need for DB, yet what a light user like me want is simply "capture my thoughts in the journal and see/use it in another place cleanly." + outliner structure. And I think that can be done with simple unidirectional one-to-many relationships, which is simpler, easier to maintain and sync, and less error-prone. Of course it comes with sacrificing true zettelkasten experience but... for that use we have the logseq db / obsidian / mem.ai right?

The API in the shortcut is using [Mem-It](https://docs.mem.ai/api-reference/mem-it/mem-it) which “intelligently processes, organizes, and structures your input automatically”. You could change it to use the [Create Note](https://docs.mem.ai/api-reference/notes/create-note) API which creates a new Mem note from the input text. Just an aside, the original full text that was sent to the shortcut is available in the “Mem-it” generated note as a source (see bottom bar of the note).

Mem can now read, understand, and answer questions about your PDFs and images—not just your text notes. **What's new:** * Upload a PDF and Mem will index it so you can search it and chat with it * Drop in an image (think screenshots, receipts, handwritten notes, slides) and Mem understands what's in it * PDFs and images now show up directly in search results with a preview chip—click to open in a lightbox without leaving search * Ask Mem a question in chat and it'll pull answers from your PDFs and images, with clickable citations that open the source file and page right in chat **A few things to know:** * Free users get **25 PDF pages understood per month** (resets the 1st of each month). Images are free for all plans * Pro users get **unlimited** PDF understanding * PDFs are capped at 100 pages per document—anything beyond that gets summarized and is still searchable and available in chat * We're currently backfilling your existing PDFs and images in the background. This is free and won't count against your monthly limit. It may take a little time for older files to show up in search and chat * ~~iOS is coming very soon—submitted for App Store review~~ (Launched 4/24!) * Learn more about PDF & Image Understanding in our [Help Center](https://help.mem.ai/features/pdf-and-image-understanding) **Try it now:** Upload a PDF or image to any note and ask Mem a question about it in chat. We'd love to hear what you find. *Edit (4/24): The latest version of iOS with full support for this is now live!*

i want to talk to you about your most nerdiest, geekiest (STEM) ideas. i am not talking about academic maggus, but people who do shit because why not? endlessly curious people who tried so many things, and failed so many times that they lost count. tell me, apart from all the campus drama happening now and then, what's one STEM thing you think about a lot? could be anything... quantum/optical computing, neuro/bio/space tech, processing-in-mem, AI, startups. look, i know many of you will be doing insanely crazy and ambitious things in the future. i might as well try to connect to those people early :p i am looking for my tribe. and i'd love to discuss things with you (Claude ain't good enough to stress test ideas). show me your work, if you are hacking on smth and i'd tell you what i'm up to.

This method has been amazing for me, as well. Obsidian plus Claude code completely changed how I worked about four months ago and now this LLM – wiki is taking it to 11. It took a while to ingest a lot of notes but it’s pretty populated now and so I’m just now up keeping it and clearly it will become more powerful the more information that it has as time goes by. One trick I found is that I record every meeting, either zoom or in person, using mem.AI and I then tag it with whatever tag I need. Claude code now has access to Mem through the API so I can just tell it to go grab any new notes from my meetings and it pulls them down, ingests the content, organizes it all in the wiki and then asks me for clarification around any new people, organizations, or topics that appeared in the notes it was ingesting. Then it edits the various notes with the new info. The inclusion of mem means that this whole process is nearly fully automated and if I want to update any portions of it I could either create a Mem note by talking to it or just by adding it directly in Claude code.

I use ChatGPT every single day and it has genuinely changed how I work. But after a year of heavy use I have also hit its walls pretty clearly. There are specific things it just cannot do well and pretending otherwise wastes time. Here are the 5 gaps and the tools that actually fill them. **1. Real time news and staying informed -**[ **CuriousCats AI**](https://curiouscats.ai/) ChatGPT's knowledge cuts off and even with browsing it is not built for daily news consumption. CuriousCats fills this gap completely. No ads, no infinite scroll, short summaries with context, and a why does this matter feature that cuts through noise fast. My morning news time dropped from 35 minutes across multiple apps to about 12 minutes of focused reading. I open this before I open ChatGPT every morning and my sessions are noticeably sharper for it. **2. Deep focus and distraction blocking -**[ **Reclaim AI**](https://reclaim.ai/) ChatGPT cannot protect your calendar. Reclaim automatically schedules focus blocks, habits and meetings around your actual priorities. It syncs with Google Calendar and defends your deep work time without you having to manually block it every week. For anyone whose calendar controls them instead of the other way around this is the gap filler. **3. Personal knowledge retrieval -**[ **Mem AI**](https://mem.ai/) ChatGPT does not know what you were thinking last Thursday. Mem does. It is a self organizing AI workspace that automatically connects your notes, ideas and saved content without you manually tagging anything. Ask it a question and it pulls from your own knowledge base. The difference between a general AI and one trained on your own thinking is significant. **4. Automated browser tasks -**[ **Induced AI**](https://induced.ai/) ChatGPT can tell you how to do something. Induced AI can actually do it for you in a browser. It automates repetitive web tasks like data collection, form filling and research workflows without needing to write code. For anyone doing manual browser work daily this fills a gap that ChatGPT talking about it never could. **5. Voice and async communication -**[ **Loom AI**](https://loom.com/) ChatGPT cannot replace face to face communication. Loom with its AI features does a surprisingly good job. Record a quick video message, Loom AI generates a summary, chapters and action items automatically. For async teams where written messages lose tone and context this is the tool that fills the human communication gap. None of this is a criticism of ChatGPT. It is still the most versatile tool in my stack by far. But knowing where it ends and having the right tools for those gaps is what makes the whole system actually work. Happy to go deeper on any of these if you have questions.

This space is moving fast. A few tools worth looking at depending on your setup: NotebookLM (Google) does exactly this for documents. Upload anything and chat with it. Free and genuinely good for summarizing and connecting ideas across sources. For the broader vision you're describing (capturing browsing, notes, videos), Mem.ai and Rewind.ai are the closest consumer products. Rewind captures everything on your screen passively and makes it searchable. For coding agents specifically, ContextPool extracts insights from your past sessions and loads them automatically at the start of each new one via MCP; so the agent remembers your conventions without you re-explaining every time. Building your own is absolutely an option if you want full control, but these tools will get you 80% of the way there without the maintenance overhead.

In this app, simplicity is the ability to capture notes that become quite findable without wasting time trying to build or work within structures. The AI chat also excels at comparing and synthesizing notes. The learning curve is a short runway and importing from other platforms works well. With a customizable sidebar and tabs, everything is within reach. As a writer working on book 39, it is by far the easiest platform for composition, research aggregation, and organization. After being through the gamut of Obsidian, Tana, Capacities, Notion, Evernote, and Reflect, this is my favorite.

I spent a few hours with my terminal on Linux and got mcp to mem working only to discover that Google has Gemini so locked down it is virtually useless. It took a few hours using Gemini to do it as there were a large number of dead ends and revisions to sort though. I ended up with a Gemini to [mem.ai](http://mem.ai) mcp bridge but only operable in the terminal sandbox, not the end user experience I was hoping for. So it seems my hope remains with the mem team, in the meanwhile Claude, the free version provides a lot of additional functionality. I had a bunch of link only notes that I saved before the web clipper and I had Claude go through and add text to each note, something mem said it could not do, it was great watching it happen. Claude was also able to do additional labeling on my whole corpus of notes in a very good way.

Founder of Mem here 👋 We've been building Mem with the single goal of making it the easiest way to remember things. Mem is both an AI notepad and thought partner -- and it's available on web, iOS, Mac, and Windows. The goal of this subreddit is to be a space for Memmers to share tips, tricks, feedback, and questions with each other. If you're new to Mem, try exploring this subreddit for inspiration on what workflows to try in Mem and insight on the best ways to use Mem's features. If you're familiar with Mem, feel free to share how you use Mem, your favorite features, or even your requests and ideas for the future of Mem. We've had a vibrant community on Slack for some time, and by bringing it to Reddit, I'm excited to open the discussion to a wider audience—not only to people who are long time users of Mem, but also to those who are brand new. Cheers, Kevin *Note: This subreddit is not an official support channel for Mem, so while some members of the Mem team are on here (like me!), if you have a specific support question, please email* [*[email protected]*](mailto:[email protected]) *for help.*

Granola, Hedy AI and [Mem AI](https://mem.ai?via=home) are great for AI notetaking. Also using [TwinMind](https://twinmind.app/n385/lmr20jin) currently and I'm impressed so far. All 4 are epic in their own way, but my favourite app has to be Mem AI (can use code '20OFF' for 20% off first 3 months). Hedy and TwinMind had a lifetime deal previously but no longer offered I think. However, I know Hedy has a free plan. I've probably tested at least 80% of the market for AI meeting transcribers, but there are always new ones popping up every day lol.

Some other ones from my stack: For getting into the flow at work my go to is [Blitzit](https://blitzit.app/?via=goomibare) every time. There's no better app for keeping you on track and staying out of your way at the same time! Feel free to use code 'DISCORD30' for 30% off. (works on the lifetime deal too!) (I used to use [TwosApp.com](https://www.TwosApp.com?code=curtastrophe) for day-to-day task carry over, but found I didn't like the way each note and task was a "thing" and how it worked in general.) For notes and project management, definitely try out [ByDesign.io](https://bydesign.io?fpr=home). I've tried a lot of different productivity tools out there and so far this one seems to work the best for my brain as well as has the flexibility to manage both notes tasks and my calendar seamlessly while being able to drag and drop basically anything. The AI scheduling feature is pretty neat too. Use code '20OFF' for 20% discount. I also love [Mem AI](https://mem.ai?via=home) for notes; transformative! (Use code 'MEMORY' for 20% off on all payments within the first 3 months) A close second would be [Fabric.so](https://fabric.so?via=superdealios), but they do a lot of other things for second brain junkies. For email, I use [Superhuman](https://superhuman.com/refer/nt21xzzu) for outlook (day job) and Shortwave for Gmail (non-profit work). I prefer Shortwave but they don't support outlook right now. AI writing your emails natively using your past emails as knowledge AND writing samples is a game-changer! Granola, Hedy AI and [Mem AI](https://mem.ai?via=home) are great for AI notetaking. Also testing [TwinMind](https://twinmind.app/n385/lmr20jin) currently and I'm impressed so far. All 4 are epic in their own way, but my favourite app has to be Mem AI (can use code '20OFF' for 20% off first 3 months). I've probably tested at least 80% of the market for AI meeting transcribers, but there are always new ones popping up every day lol. Additionally, [wisprflow.ai](https://ref.wisprflow.ai/superdealios) for voice dictation, although you can also use Clickup Brain Max or Highlight AI for this as well. Highlight I use for anything AI and is also a sleeper I'd pay for. Better than Cluely or any other "floating AI" offering I've tried so far. That said, I still use [Perplexity Pro](https://pplx.ai/superdealios) if I need to do research. [Raycast](https://raycast.com/?via=Superdealios) has also been great so far as an alternative to PowerToys. But I'm really waiting for full extension store compatibility (for Windows). Finally, [Zo Computer](https://zo-computer.cello.so/BGRcRXQWJ6l) has become my go-to AI agent for anything that needs actual execution, not just chat. It's an AI with its OWN computer - files, terminal, web browser, integrations with Gmail/Calendar/Notion/Linear, can host websites, run scheduled automations, and has persistent memory. It's like Perplexity + a dev environment + an automation platform all in one, but the AI actually does the work instead of just suggesting things. Blows Manus and OpenClaw out of the water! (source: I have a Manus sub as well) Everything has a purpose LOL, but I'm partial to tools that are free or offer a lifetime deal since I hate subscriptions.

Here are some of the best tools I’ve come across for building and working with a personal or team knowledge base. Each has its own strengths depending on whether you want note-taking, research, or fully accurate knowledge retrieval. [Recall ](https://www.getrecall.ai)– Self organizing PKM with multi format support Handles YouTube, podcasts, PDFs, and articles, creating clean summaries you can review later. Also has a “chat with your knowledge” feature so you can ask questions across everything you’ve saved. [NotebookLM ](https://notebooklm.google)– Google’s research assistant Upload notes, articles, or PDFs and ask questions based on your own content. Very strong for research workflows. It stays grounded in your data and can even generate podcast-style summaries. [CustomGPT.ai](http://CustomGPT.ai) – Knowledge-based AI system (no hallucination focus) More of an answer engine than a note-taking app. You upload docs, websites, or help centers and it answers strictly from that data. What stood out: * Doesn’t hallucinate like most AI tools * Works well for team/shared knowledge bases * Feels more like a production-ready system MIT is using it for their entrepreneurship center (ChatMTC), which is basically the same use case internal knowledge → accurate answers. [Notion AI](https://www.notion.so) – Flexible workspace + AI All-in-one for notes, tasks, and databases. AI helps with summarizing long notes, drafting content, and organizing information. [Saner ](https://saner.ai)– ADHD-friendly productivity hub Combines notes, tasks, and documents with AI planning and reminders. Useful if you need structure + focus in one place. [Tana ](https://tana.inc)– Networked notes with AI structure Connects ideas without rigid folders. AI suggests structure and relationships as you write. [Mem ](https://mem.ai)– Effortless AI-driven note capture Capture thoughts quickly and let AI auto-tag and connect related notes. Minimal setup required. [Reflect ](https://reflect.app)– Minimalist backlinking journal Great for linking ideas over time. Clean interface with AI assistance for summarizing and expanding notes. [Fabric ](https://fabric.so)– Visual knowledge exploration Stores articles, PDFs, and ideas with AI-powered linking. More visual approach compared to traditional note apps. [MyMind ](https://mymind.com)– Inspiration capture without folders Save quotes, links, and images without organizing anything. AI handles everything in the background. What else should be on this list? Always looking for tools that make knowledge work easier in 2026.

Looks great! The contents are really strong. I would only offer one contribution to align with Claude's suggested best practices... You may want to split the files up to keep each document focused on a single idea: * Follows claude's context engineering best-practices around [progressive disclosure](https://docs.claude-mem.ai/progressive-disclosure). * Adding a markdown index for each files helps the agent navigate through the docs (see below) e.g. ```text <root> .agents/ .INDEX.md COMMANDS.md <-- Commands goes here TASKS.md <-- Task Management goes here PRINCIPLES.md <-- Core principles goes here ... <-- Etc. CLAUDE.md ``` Example of `.INDEX.md`: ```markdown # Vendor-agnostic Agent Instructions Index 1. [Useful CLI command shortcuts](./COMMANDS.md) 2. [Structured Task Management Protocol](./TASKS.md) 3. [Core Principles for Development](./PRINCIPLES) 4. ... ``` In `CLAUDE.md`: ```markdown # `CLAUDE.md` ## Agent Instructions See [index](.agents/.INDEX.md) ``` Overall, the content is well structured. You were wise to go vendor-agnostic. Thanks for sharing, and sorry that reddit likes to make a habit needlessly shitting on people for sharing their work. Cheers!

# I built a 25-tool AI Second Brain with Claude Code + Obsidian + Ollama — here's the full architecture **TL;DR:** I spent a night building a self-improving knowledge system that runs 25 automated tools hourly. It indexes my vault with semantic search (bge-m3 on a 3080), builds a knowledge graph (375 nodes), detects contradictions, auto-prunes stale notes, tracks my frustration levels, does autonomous research, and generates Obsidian Canvas maps — all without me touching anything. Claude Code gets smarter every session because the vault feeds it optimized context automatically. --- ## The Problem I run a solo dev agency (web design + social media automation for Serbian SMBs). I have 4 interconnected projects, 64K business leads, and hundreds of Claude Code sessions per week. My problem: **Claude Code starts every session with amnesia.** It doesn't remember what we did yesterday, what decisions we made, or what's blocked. The standard fix (CLAUDE.md + MEMORY.md) helped but wasn't enough. I needed a system that: - Gets smarter over time without manual work - Survives context compaction (when Claude's memory gets cleared mid-session) - Connects knowledge across projects - Catches when old info contradicts new reality ## What I Built ### The Stack - **Obsidian** vault (~350 notes) as the knowledge store - **Claude Code** (Opus) as the AI that reads/writes the vault - **Ollama** + **bge-m3** (1024-dim embeddings, RTX 3080) for local semantic search - **SQLite** (better-sqlite3) for search index, graph DB, codebase index - **Express** server for a React dashboard - **2 MCP servers** giving Claude native vault + graph access - **Windows Task Scheduler** running everything hourly ### 25 Tools (all Node.js ES modules, zero external dependencies beyond what's already in the repo) #### Layer 1: Data Collection | Tool | What it does | |------|-------------| | `vault-live-sync.mjs` | Watches Claude Code JSONL sessions in real-time, converts to Obsidian notes | | `vault-sync.mjs` | Hourly sync: Supabase stats, AutoPost status, git activity, project context | | `vault-voice.mjs` | Voice-to-vault: Whisper transcription + Sonnet summary of audio files | | `vault-clip.mjs` | Web clipping: RSS feeds + Brave Search topic monitoring + AI summary | | `vault-git-stats.mjs` | Git metrics: commit streaks, file hotspots, hourly distribution, per-project breakdown | #### Layer 2: Processing & Intelligence   | Tool | What it does | |------|-------------| | `vault-digest.mjs` | Daily digest: aggregates all sessions into one readable page | | `vault-reflect.mjs` | Uses Sonnet to extract key decisions from sessions, auto-promotes to MEMORY.md | | `vault-autotag.mjs` | AI auto-tagging: Sonnet suggests tags + wikilink connections for changed notes | | `vault-schema.mjs` | Frontmatter validator: 10 note types, compliance reporting, auto-fix mode | | `vault-handoff.mjs` | Generates machine-readable `handoff.json` (survives compaction better than markdown) | | `vault-session-start.mjs` | Assembles optimal context package for new Claude sessions | #### Layer 3: Search & Retrieval | Tool | What it does | |------|-------------| | `vault-search.mjs` | FTS5 + chunked semantic search (512-char chunks, bge-m3 1024-dim). Flags: `--semantic`, `--hybrid`, `--scope`, `--since`, `--between`, `--recent`. Retrieval logging + heat map. | | `vault-codebase.mjs` | Indexes 2,011 source files: exports, routes, imports, JSDoc. "Where is the image upload logic?" actually works. | | `vault-graph.mjs` | Knowledge graph: 375 nodes, 275 edges, betweenness centrality, community detection, link suggestions | | `vault-graph-mcp.mjs` | Graph as MCP server: 6 tools (search, neighbors, paths, common, bridges, communities) Claude can use natively | #### Layer 4: Self-Improvement | Tool | What it does | |------|-------------| | `vault-patterns.mjs` | Weekly patterns: momentum score (1-10), project attention %, velocity trends, token burn ($), stuck detection, frustration/energy tracking, burnout risk | | `vault-spaced.mjs` | Spaced repetition (FSRS): 348 notes tracked, priority-based review scheduling. Critical decisions resurface before you forget them. | | `vault-prune.mjs` | Hot/warm/cold decay scoring. Auto-archives stale notes. Never-retrieved notes get flagged. | | `vault-contradict.mjs` | Contradiction detection: rule-based (stale references, metric drift, date conflicts) + AI-powered (Sonnet compares related docs) | | `vault-research.mjs` | Autonomous research: Brave Search + Sonnet, scheduled topic monitoring (competitors, grants, tech trends) | #### Layer 5: Visualization & Monitoring | Tool | What it does | |------|-------------| | `vault-canvas.mjs` | Auto-generates Obsidian Canvas files from knowledge graph (5 modes: full map, per-project, hub-centered, communities, daily) | | `vault-heartbeat.mjs` | Proactive agent: gathers state from all services, Sonnet reasons about what needs attention, sends WhatsApp alerts | | `vault-dashboard/` | React SPA dashboard (Express + React CDN): search, graph viz, patterns, spaced review queue, schema compliance, prune tiers, git stats, research, clips — all in browser | ## The Automated Pipeline **Every hour** (Windows Task Scheduler → `run-vault-sync.bat`): ``` sync → digest → reflect → handoff.json → search index (chunked bge-m3) → codebase index → autotag → schema fix → voice inbox → monitors → heartbeat ``` **Every day** (first hourly run): ``` graph analysis → patterns + energy → contradictions → prune report → git stats → canvas generation → autonomous research → web clips → spaced scheduling → vault git snapshot ``` ## Key Architecture Decisions ### Chunked embeddings beat whole-doc embeddings My vault notes range from 100 to 50,000 chars. Embedding whole docs gave ~49% match quality. Chunking into 512-char segments with heading anchors (`[NoteTitle > SectionHeading] content...`) jumped to ~61%. The heading anchor is crucial — without it, chunks lose context about which note they came from. ### FTS5 + semantic search > either alone Keyword search (FTS5) finds exact terms. Semantic search finds meaning. Hybrid search (`--hybrid`) combines both with 50/50 weighting and deduplication. For my vault, hybrid consistently outperforms either alone. ### Structured handoff.json survives compaction Claude Code compacts context when it runs low. My prose `Handoff.md` would get garbled in compaction rewrites. The machine-readable `handoff.json` with explicit fields (`current_task`, `blocked_on`, `next_priorities`, per-project health) survives intact because it's structured data, not narrative. ### Retrieval-weighted search (the Mem.ai pattern) Every search query is logged to a `vault_hits` table. Notes that get retrieved frequently get a 10% boost in search ranking — they're proven useful. Notes never retrieved get flagged by vault-prune as potentially stale. ### Spaced repetition for decisions, not flashcards I'm not memorizing vocab. I'm ensuring critical project decisions don't get forgotten. The FSRS algorithm schedules reviews — high-priority notes (context files, decisions, blockers) review every 1-3 days. Low-priority (session logs) review monthly or never. ### Graph MCP > flat file access Instead of Claude reading files and manually tracing connections, the graph MCP gives it tools like `kg_paths("", "")` — instantly finding how two topics connect through intermediate notes. This is what Harper Reed's `obra/knowledge-graph` pattern demonstrated: give the AI graph traversal tools and it reasons over structure, not just content. ## What's NOT Worth Building After 30 research agents scanning the entire Obsidian+AI landscape: - **Fine-tuning on personal notes** — RAG is better for a living vault. Fine-tuning is for static archives. - **Neo4j/external graph DB** — SQLite with adjacency lists handles 375 nodes in <500ms. No need for a separate database server. - **Obsidian plugins** — We built everything as external Node.js tools. More flexible, no plugin API limitations, works without Obsidian running. - **Cloud embeddings** — Local Ollama (bge-m3, 1.2GB) is free, fast on a 3080, and private. No API costs. ## Metrics - **25 tools** , ~18,000 lines of code - **348 notes** tracked with spaced repetition - **2,011 code files** indexed and searchable - **25,000+ embedding chunks** (bge-m3, 1024-dim) - **375 knowledge graph nodes** , 275 edges - **0 npm dependencies** added (everything uses what's already in the monorepo) - Built in **one night** using Claude Code Opus with parallel subagents ## What's Next - Actually getting my first paying client (the brain is built, now it needs to generate revenue) - CDT consultant certification (Serbian digital transformation grants) - Katapult Innovation Fund application --- **Questions I'd love feedback on:** 1. Anyone else running spaced repetition on vault notes (not flashcards)? 2. Is anyone doing temporal knowledge graphs (facts with validity windows) in Obsidian? 3. What's your experience with Graph RAG vs flat vector search? 4. Am I over-engineering this? (honest answers welcome) **Tech:** Node.js, SQLite, Ollama bge-m3, Express, React, Claude Code Opus, Windows

# I built a 25-tool AI Second Brain with Claude Code + Obsidian + Ollama — here's the full architecture **TL;DR:** I spent a night building a self-improving knowledge system that runs 25 automated tools hourly. It indexes my vault with semantic search (bge-m3 on a 3080), builds a knowledge graph (375 nodes), detects contradictions, auto-prunes stale notes, tracks my frustration levels, does autonomous research, and generates Obsidian Canvas maps — all without me touching anything. Claude Code gets smarter every session because the vault feeds it optimized context automatically. --- ## The Problem I run a solo dev agency (web design + social media automation for Serbian SMBs). I have 4 interconnected projects, 64K business leads, and hundreds of Claude Code sessions per week. My problem: **Claude Code starts every session with amnesia.** It doesn't remember what we did yesterday, what decisions we made, or what's blocked. The standard fix (CLAUDE.md + MEMORY.md) helped but wasn't enough. I needed a system that: - Gets smarter over time without manual work - Survives context compaction (when Claude's memory gets cleared mid-session) - Connects knowledge across projects - Catches when old info contradicts new reality ## What I Built ### The Stack - **Obsidian** vault (~350 notes) as the knowledge store - **Claude Code** (Opus) as the AI that reads/writes the vault - **Ollama** + **bge-m3** (1024-dim embeddings, RTX 3080) for local semantic search - **SQLite** (better-sqlite3) for search index, graph DB, codebase index - **Express** server for a React dashboard - **2 MCP servers** giving Claude native vault + graph access - **Windows Task Scheduler** running everything hourly ### 25 Tools (all Node.js ES modules, zero external dependencies beyond what's already in the repo) #### Layer 1: Data Collection | Tool | What it does | |------|-------------| | `vault-live-sync.mjs` | Watches Claude Code JSONL sessions in real-time, converts to Obsidian notes | | `vault-sync.mjs` | Hourly sync: Supabase stats, AutoPost status, git activity, project context | | `vault-voice.mjs` | Voice-to-vault: Whisper transcription + Sonnet summary of audio files | | `vault-clip.mjs` | Web clipping: RSS feeds + Brave Search topic monitoring + AI summary | | `vault-git-stats.mjs` | Git metrics: commit streaks, file hotspots, hourly distribution, per-project breakdown | #### Layer 2: Processing & Intelligence   | Tool | What it does | |------|-------------| | `vault-digest.mjs` | Daily digest: aggregates all sessions into one readable page | | `vault-reflect.mjs` | Uses Sonnet to extract key decisions from sessions, auto-promotes to MEMORY.md | | `vault-autotag.mjs` | AI auto-tagging: Sonnet suggests tags + wikilink connections for changed notes | | `vault-schema.mjs` | Frontmatter validator: 10 note types, compliance reporting, auto-fix mode | | `vault-handoff.mjs` | Generates machine-readable `handoff.json` (survives compaction better than markdown) | | `vault-session-start.mjs` | Assembles optimal context package for new Claude sessions | #### Layer 3: Search & Retrieval | Tool | What it does | |------|-------------| | `vault-search.mjs` | FTS5 + chunked semantic search (512-char chunks, bge-m3 1024-dim). Flags: `--semantic`, `--hybrid`, `--scope`, `--since`, `--between`, `--recent`. Retrieval logging + heat map. | | `vault-codebase.mjs` | Indexes 2,011 source files: exports, routes, imports, JSDoc. "Where is the image upload logic?" actually works. | | `vault-graph.mjs` | Knowledge graph: 375 nodes, 275 edges, betweenness centrality, community detection, link suggestions | | `vault-graph-mcp.mjs` | Graph as MCP server: 6 tools (search, neighbors, paths, common, bridges, communities) Claude can use natively | #### Layer 4: Self-Improvement | Tool | What it does | |------|-------------| | `vault-patterns.mjs` | Weekly patterns: momentum score (1-10), project attention %, velocity trends, token burn ($), stuck detection, frustration/energy tracking, burnout risk | | `vault-spaced.mjs` | Spaced repetition (FSRS): 348 notes tracked, priority-based review scheduling. Critical decisions resurface before you forget them. | | `vault-prune.mjs` | Hot/warm/cold decay scoring. Auto-archives stale notes. Never-retrieved notes get flagged. | | `vault-contradict.mjs` | Contradiction detection: rule-based (stale references, metric drift, date conflicts) + AI-powered (Sonnet compares related docs) | | `vault-research.mjs` | Autonomous research: Brave Search + Sonnet, scheduled topic monitoring (competitors, grants, tech trends) | #### Layer 5: Visualization & Monitoring | Tool | What it does | |------|-------------| | `vault-canvas.mjs` | Auto-generates Obsidian Canvas files from knowledge graph (5 modes: full map, per-project, hub-centered, communities, daily) | | `vault-heartbeat.mjs` | Proactive agent: gathers state from all services, Sonnet reasons about what needs attention, sends WhatsApp alerts | | `vault-dashboard/` | React SPA dashboard (Express + React CDN): search, graph viz, patterns, spaced review queue, schema compliance, prune tiers, git stats, research, clips — all in browser | ## The Automated Pipeline **Every hour** (Windows Task Scheduler → `run-vault-sync.bat`): ``` sync → digest → reflect → handoff.json → search index (chunked bge-m3) → codebase index → autotag → schema fix → voice inbox → monitors → heartbeat ``` **Every day** (first hourly run): ``` graph analysis → patterns + energy → contradictions → prune report → git stats → canvas generation → autonomous research → web clips → spaced scheduling → vault git snapshot ``` ## Key Architecture Decisions ### Chunked embeddings beat whole-doc embeddings My vault notes range from 100 to 50,000 chars. Embedding whole docs gave ~49% match quality. Chunking into 512-char segments with heading anchors (`[NoteTitle > SectionHeading] content...`) jumped to ~61%. The heading anchor is crucial — without it, chunks lose context about which note they came from. ### FTS5 + semantic search > either alone Keyword search (FTS5) finds exact terms. Semantic search finds meaning. Hybrid search (`--hybrid`) combines both with 50/50 weighting and deduplication. For my vault, hybrid consistently outperforms either alone. ### Structured handoff.json survives compaction Claude Code compacts context when it runs low. My prose `Handoff.md` would get garbled in compaction rewrites. The machine-readable `handoff.json` with explicit fields (`current_task`, `blocked_on`, `next_priorities`, per-project health) survives intact because it's structured data, not narrative. ### Retrieval-weighted search (the Mem.ai pattern) Every search query is logged to a `vault_hits` table. Notes that get retrieved frequently get a 10% boost in search ranking — they're proven useful. Notes never retrieved get flagged by vault-prune as potentially stale. ### Spaced repetition for decisions, not flashcards I'm not memorizing vocab. I'm ensuring critical project decisions don't get forgotten. The FSRS algorithm schedules reviews — high-priority notes (context files, decisions, blockers) review every 1-3 days. Low-priority (session logs) review monthly or never. ### Graph MCP > flat file access Instead of Claude reading files and manually tracing connections, the graph MCP gives it tools like `kg_paths("", "")` — instantly finding how two topics connect through intermediate notes. This is what Harper Reed's `obra/knowledge-graph` pattern demonstrated: give the AI graph traversal tools and it reasons over structure, not just content. ## What's NOT Worth Building After 30 research agents scanning the entire Obsidian+AI landscape: - **Fine-tuning on personal notes** — RAG is better for a living vault. Fine-tuning is for static archives. - **Neo4j/external graph DB** — SQLite with adjacency lists handles 375 nodes in <500ms. No need for a separate database server. - **Obsidian plugins** — We built everything as external Node.js tools. More flexible, no plugin API limitations, works without Obsidian running. - **Cloud embeddings** — Local Ollama (bge-m3, 1.2GB) is free, fast on a 3080, and private. No API costs. ## Metrics - **25 tools** , ~18,000 lines of code - **348 notes** tracked with spaced repetition - **2,011 code files** indexed and searchable - **25,000+ embedding chunks** (bge-m3, 1024-dim) - **375 knowledge graph nodes** , 275 edges - **0 npm dependencies** added (everything uses what's already in the monorepo) - Built in **one night** using Claude Code Opus with parallel subagents ## What's Next - Actually getting my first paying client (the brain is built, now it needs to generate revenue) - CDT consultant certification (Serbian digital transformation grants) - Katapult Innovation Fund application --- **Questions I'd love feedback on:** 1. Anyone else running spaced repetition on vault notes (not flashcards)? 2. Is anyone doing temporal knowledge graphs (facts with validity windows) in Obsidian? 3. What's your experience with Graph RAG vs flat vector search? 4. Am I over-engineering this? (honest answers welcome) **Tech:** Node.js, SQLite, Ollama bge-m3, Express, React, Claude Code Opus, Windows

everyone talks about the same tools. these are the ones that quietly do real work. tools that actually changed how i work **workbeaver ai** — still #1. i just describe the task and it handles it across desktop and browser. no complex setup. it learns the workflow and executes it. this replaced a lot of repetitive ops for me. **dust tt** — lets you build internal ai agents using your company data. super useful for teams that want custom workflows without heavy dev work. **mem ai** — smart notes that connect ideas automatically. great for knowledge recall without organizing everything manually. **taskade ai** — combines task management with ai agents. feels like a lightweight ops system for small teams. **reworkd ai** — helps automate web tasks and data extraction. useful for scraping and repetitive browser workflows. tools that are powerful but underused **magical ai** — text expansion but smarter. good for repetitive replies and forms. **browse ai** — no-code web scraping that actually works. set once, runs on schedule. **hexomatic** — automation tool for scraping + enrichment. underrated for lead gen workflows. **warp ai (terminal)** — makes command line usable with ai assistance. great for dev workflows. tools that are overhyped (for now) **most ai chrome extensions** \- adds little value beyond what core tools already do. **generic ai writers** \- same tone, same output, hard to stand out. But, thinking about it all after all the excitement has died down, what’s one AI tool that’s genuinely proven to be useful?

i’ve been testing paid ai subscriptions recently, and honestly, the usual lists focus on chatgpt, claude, and gemini. here’s the **real hidden gems** that actually change workflows: top underrated ai tools that actually stuck **1. workbeaver ai** \-  just describe the task and it executes across desktop and browser. handles reports, spreadsheets, file organization, repetitive workflows. it literally controls your computer to do the work. huge time-saver for small teams and solo operators. **2. notebooklm** \- underrated research powerhouse. feed it papers, notes, transcripts, it summarizes, synthesizes, and answers questions accurately. no hallucinations. **3. dusttt** \- lets you build internal ai agents using your company or project data. perfect for custom workflows without coding. **4. raycast ai** \- boosts desktop productivity. combines ai suggestions + shortcuts for daily tasks. small tasks get done instantly. **5. mem ai** \- smart notes that link ideas automatically. great for knowledge management and research-heavy workflows. **6. taskade ai** \- task management + ai agents. works like a lightweight workflow automation tool for small teams. **7. reworkd ai** \- automates web tasks, scraping, and repetitive browser actions. underrated but surprisingly powerful. **8. browse ai** \- no-code web scraping that actually works. schedule tasks once and forget about them. **9. hexomatic** \- automation for scraping + enrichment. perfect for lead gen and repetitive online workflows. **10. warp ai (terminal)** \- ai-powered command line. great for devs or anyone who uses terminal workflows. If you are currently spending money on AI, I’d like to know... what tools that people don’t talk about much do you find yourself using every day? What parts of your work do these tools assist with, and do you think they provide good value for what you pay? Also, if you had to choose just a single AI program to continue with, the one that’s a bit of a discovery, which would it be? I’m really interested in hearing about your real opinions of the more unusual AI tools that legitimately speed things up and make your job simpler.

Tana is probably making the system-building trap worse, not better. It's one of the most structure-demanding tools out there and it rewards people who already enjoy fiddling with schemas, which sounds like the exact thing you're trying to escape. For Dutch voice, Whisper natively supports it and the accuracy is genuinely solid, so even a simple local Whisper transcription step before notes hit your PKM is more reliable than waiting on Mem.ai to add it. The fog problem you're describing is almost always a retrieval issue, not a capture issue, and for that BM25 search over plain markdown has beaten every fancy auto-linking feature I've tried.

Hi everyone, I’m looking for some advice on my PKM and productivity setup. I’ve realized I’m spending way too much time "building" systems (fiddling with tags, categories, and manual linking) instead of actually using them. I need a solution that does more of the heavy lifting so I can focus on my work and passions. **My Context:** * **Work:** Healthcare Chaplain in Mental Health (lots of reflection, client sessions, and literature study). * **Passion:** Enthusiastic home cook transitioning to part-time professional cooking (need recipe management and meal planning). * **Current Tools:** Capacities, recently switched to Tana, and Todoist. **The Friction Points:** * Integrating book notes is too slow (taking \~5 mins per page). * I’m losing the "big picture" and can't always surface the right notes when I need them. * I hate manual time-blocking; I want a system that helps plan my day based on priorities and long-term development. I understand that in a way, this is what PKM and productivity is: taking the time to build your system thoughtfully and in your own words and working with it. But I find time and again that I end up 'dumping' the things I want to safe in my system and not backlinking correctly or forgetting where to backlink and so it all becomes bulky and foggy. **My Ideal Workflow:** 1. **Voice-First (Dutch Support is Critical):** Recording reflections after sessions that are automatically analyzed for themes and linked to my existing knowledge base. I'm currently testing [Mem.ai](http://Mem.ai), which seems great for organization, but it doesn't support Dutch voice notes. 2. **Conversational Knowledge Base:** I want to be able to chat with my system in Dutch to reflect on sessions, conduct research, write essays, and prepare for meetings. 3. **Smart Recipes:** Importing recipes via URL/photo and being able to query my database (e.g., "What can I cook for 3 people using pumpkin?"). I use a gem in Gemini for this right now, which works okay. 4. **Automated Organization:** A system that builds connections and organizes itself without me spending hours tagging. Reliability is key—I need an AI that doesn't or hardly hallucinate. 5. **Accessibility:** I use an Android phone, so a dedicated app or a very mobile-friendly browser experience is a must. A web app is preferred because I can't install software on my work laptop. However, if the system is good enough, I'm willing to purchase a personal laptop for it. Which (combination of) apps would you recommend to automate this? I want to minimize the number of apps in my stack. Is there a system that handles both knowledge (work/cooking) and tasks (auto-scheduling) while offering robust support for the Dutch language? Looking forward to your suggestions and experiences!

Hi everyone, I’m looking for some advice on my PKM and productivity setup. I’ve realized I’m spending way too much time "building" systems (fiddling with tags, categories, and manual linking) instead of actually using them. I need a solution that does more of the heavy lifting so I can focus on my work and passions. **My Context:** * **Work:** Healthcare Chaplain in Mental Health (lots of reflection, client sessions, and literature study). * **Passion:** Enthusiastic home cook transitioning to part-time professional cooking (need recipe management and meal planning). * **Current Tools:** Capacities, recently switched to Tana, and Todoist. **The Friction Points:** * Integrating book notes is too slow (taking \~5 mins per page). * I’m losing the "big picture" and can't always surface the right notes when I need them. * I hate manual time-blocking; I want a system that helps plan my day based on priorities and long-term development. I understand that in a way, this is what PKM and productivity is: taking the time to build your system thoughtfully and in your own words and working with it. But I find time and again that I end up 'dumping' the things I want to safe in my system and not backlinking correctly or forgetting where to backlink and so it all becomes bulky and foggy. **My Ideal Workflow:** 1. **Voice-First (Dutch Support is Critical):** Recording reflections after sessions that are automatically analyzed for themes and linked to my existing knowledge base. I'm currently testing [Mem.ai](http://Mem.ai), which seems great for organization, but it doesn't support Dutch voice notes. 2. **Conversational Knowledge Base:** I want to be able to chat with my system in Dutch to reflect on sessions, conduct research, write essays, and prepare for meetings. 3. **Smart Recipes:** Importing recipes via URL/photo and being able to query my database (e.g., "What can I cook for 3 people using pumpkin?"). I use a gem in Gemini for this right now, which works okay. 4. **Automated Organization:** A system that builds connections and organizes itself without me spending hours tagging. Reliability is key—I need an AI that doesn't or hardly hallucinate. 5. **Accessibility:** I use an Android phone, so a dedicated app or a very mobile-friendly browser experience is a must. A web app is preferred because I can't install software on my work laptop. However, if the system is good enough, I'm willing to purchase a personal laptop for it. Which (combination of) apps would you recommend to automate this? I want to minimize the number of apps in my stack. Is there a system that handles both knowledge (work/cooking) and tasks (auto-scheduling) while offering robust support for the Dutch language? Looking forward to your suggestions and experiences!

thedotmack's claude-mem (GitHub trending, last push March 30, 2026) is a game-changer for AI-assisted coding: it auto-captures every Claude Code session action/output, uses agent-sdk LLMs to compress/summarize into a persistent memory store, then smartly re-injects relevant history into new chats. Core trick? Self-referential AI compression—no manual RAG pipelines needed; it handles gigabytes of dev history efficiently. What makes it cool: Solves AI's amnesia curse, turning Claude into a true "collaborator" that recalls your codebase quirks, past bugs, and style across sessions. Inspires builders to hack agentic memory layers into any LLM workflow—imagine this for sales CRMs (recall client convos) or no-code apps. Demo/Repo: [https://github.com/thedotmack/claude-mem](https://github.com/thedotmack/claude-mem) | [https://claude-mem.ai](https://claude-mem.ai/)

Hey everyone, I've been building something that scratches my own itch, and I finally shipped a base version I'm comfortable sharing publicly. The problem: I read a lot. Articles, research, YouTube deep dives. And I forget almost all of it. Tools like Readwise and [Mem.ai](http://Mem.ai) are great, but they sit between me and my own knowledge. My notes, my reading history, and my thought patterns all live on someone else's server, processed by their AI. So I built Project Nexus. It is an open source personal knowledge system that works entirely with your own API keys. Here is what it does right now: 🧩 Browser extension One-click capture of any article or YouTube transcript 🤖 AI summaries Uses your own OpenAI, Anthropic, or Gemini key, processed directly in your browser 🕸️ Knowledge graph A visual 2D canvas of everything you have captured, with entity relationships 📅 Spaced repetition A gamified review system so you actually remember what you read 🔒 BYOK and self-host Your keys, your Supabase instance, your data. Full stop Built with Next.js, Supabase with pgvector, Vercel AI SDK, and Plasmo for the extension. I have tried to keep the setup genuinely simple. Clone, add your keys, and run. There is also a hosted cloud option if you do not want to self-host. Repo: [https://github.com/MAX-786/project-nexus](https://github.com/MAX-786/project-nexus) Site: [https://max-786.github.io/project-nexus/](https://max-786.github.io/project-nexus/) I am at the very beginning of this journey, so I would genuinely love to hear the following: What is the one feature that would make you actually install and use this daily? Is there anything in the privacy or BYOK model that does not feel right or trustworthy to you? Thanks for reading. Happy to answer any questions in the comments.

I can imagine a lot and I get why people have these anxieties. I also get that people - burnt by past or present AI experience (myself having a strong urge to vomit when I visit the AI-generated stuff that is "News" via Google News) - want a certain regulation. However, as briandfoy said: there has been virtually no bar for the quality of modules allowed on CPAN. Many of these - human-made - are really bad. Unmaintained, riddled with bugs, outdated ... you name it. That has been going on for a long time, so "we" had this discussion about how to ensure CPAN quality a long long time ago already. Result of this discussion boiled down to: 1) the user has to make sure he doesn't use some sh\*tty distro, 2) yeah, we can use kwalitee, stars and CPAN ratings to help. But that help is also to be taken with a grain of salt. As for our specific situation here at PetaMem, we have waited long - over two decades actually - for this technology to be of sufficient quality (read: better than the average human coder), to unleash it. And man... it's not only that they (the AIs) take over simple maintenance tasks, they allow us to push modules far beyond what would have happened without that workforce. New distro to be uploaded soon. 24h, 5 new languages, all kwalitee @ 100%, two distinctive new features: Overloaded Numeral Arithmetic Lingua::Word2Num objects support arithmetic across languages. Constructing an object from natural language text auto-detects the source language and extracts the numeric value. Standard Perl operators (+, -, \*, /, %, ++, --) work on these objects, and the result can be rendered into any of the 44(!) supported languages on demand via ->as(). This allows expressions like Lingua::Word2Num->new("zwanzig") + Lingua::Word2Num->new("šestnáct") to yield 36, which can then be expressed as "trente-six" (French), "sechsunddreißig" (German), or "třicet šest" (Czech) — from a single computation. The interface is deliberately minimal: arithmetic returns numbers, words require an explicit ->as($lang) call, keeping the semantics unambiguous even when mixing languages. Galois Walk Transitive Testing To validate cross-language consistency without exhaustive enumeration, the test suite employs a multiplicative generator over a prime field (g=7 mod 999999937) to walk through the entire number space — from single digits through hundreds of millions — in a deterministic, non-sequential pattern. At each step, the current value is converted to words in a rotating language, parsed back to a number, and the generator advances. This single test touches all 44 languages, all magnitude ranges, and all language-pair transitions in 132 steps, exposing bugs that per-language unit tests miss. In its first run it immediately uncovered three parser deficiencies in the hundred-million range that had gone undetected through years of conventional testing. There you go! (pun intended) So the statement in the docs maintenance, coding (2025-present): PetaMem AI Coding Agents is actually not a fig leaf out of courtesy "beware, here AI coding". It's a badge of pride.

Uploaded \~ 85 new modules (https://metacpan.org/author/PETAMEM/latest) which are now in the hands of PetaMem AI coders. And yes, it's stated in the docs: maintenance, coding (2025-present): PetaMem AI Coding Agents It's easy structured code and I don't think the code is the worst that is on CPAN. If anyone would like to push a policy against AI uses in CPAN, I would start to push a policy that only versed Perl developers with 20+ years of experience are able (as in: allowed) to submit to CPAN.

AI tools for small businesses have crossed a threshold. They're no longer just assistants, they're starting to run whole job functions. Here's my curated list of what's actually worth using in 2026: **🧑‍💼 Digital Workers** Ready-made AI workers that handle whole roles, not just tasks. - **Manus AI**: General-purpose AI agent that researches, plans, and executes multi-step tasks across tools - **Jasper AI Agents**: Marketing-focused agents that run campaign planning, content creation, and SEO workflows end to end - **Marblism**: Role-specific AI agents for email, content, social media, sales, support, and legal, built to run business functions autonomously - **Notion AI Agents**: Custom agents that live inside your workspace and automate recurring knowledge work - **eesel AI**: AI teammate that plugs into Zendesk, Slack, and your docs to answer customer questions and draft replies - **Lindy**: Build custom AI agents for sales, support, and workflow automation without writing code - **Twin**: AI agent platform that completes business workflows using plain language instructions - **Cassidy AI**: Enterprise-lite automation that ingests your company docs, SOPs, and policies to power agents across your stack **🌐 Websites, Funnels & Online Presence** Tools that give you a legit web presence without hiring an agency. - **Durable**: AI website builder that generates a branded site in under a minute, with built-in CRM, invoicing, and marketing tools for service businesses - **Wix AI Website Builder**: AI-assisted website creation with smart design and SEO tools built in - **Shopify Magic**: Built into Shopify; writes product descriptions, marketing copy, and includes an AI assistant called Sidekick for store analytics - **Framer AI**: Generates fully designed, responsive websites from a text prompt, popular with freelancers and consultants - **10Web**: AI WordPress builder that creates SEO-optimized sites and auto-optimizes page speed - **Typeform + AI**: Builds smart forms and surveys that adapt questions based on previous answers, useful for lead capture and onboarding **🎯 Marketing & Content Creation** AI tools that move the needle on traffic, leads, and brand. - **Jasper**: Brand-voice AI for ads, emails, product pages, and campaigns, with agent features for SEO and content execution at scale - **Canva Magic Studio**: Adds AI image generation, video editing, and branded doc creation to the Canva interface most businesses already use - **Descript**: AI video and podcast editor, edit media like a document, produce social clips and training content without a dedicated editor - **Buffer AI Assistant**: Social media scheduling with AI-generated captions and post ideas across multiple channels - **Surfer SEO**: Optimizes written content for search rankings using real-time SERP data and competitor analysis - **Opus Clip**: Repurposes long videos into short-form clips for TikTok, Reels, and YouTube Shorts automatically - **Copy AI**: Fast, template-driven AI copywriting for ads, landing pages, product listings, and cold emails - **Predis AI**: Generates social media posts with visuals, captions, and hashtags from a single topic input **📈 Sales, CRM & Lead Intelligence** Tools that help tiny teams punch above their weight in sales. - **HubSpot Breeze**: All-in-one CRM where AI handles lead scoring, predictive analytics, and sales email generation, free tier available - **Zoho CRM with Zia**: CRM with an AI assistant that scores leads, forecasts revenue, and answers pipeline questions in plain language - **Nutshell CRM**: SMB-focused CRM that uses AI to surface next-best actions and keep reps out of manual data entry - **Sybill**: Analyzes sales calls and emails, then auto-writes CRM updates and follow-up emails - **Apollo IO**: B2B prospecting database with 275M+ contacts plus automated outreach sequences baked in - **Instantly AI**: AI-powered cold email platform that handles deliverability, personalization, and follow-up sequences at scale - **Clay**: GTM enrichment platform where AI agents research companies, score leads, and build hyper-personalized outreach lists - **Lavender AI**: AI email coach that scores your sales emails in real time and suggests improvements before you hit send **💬 Customer Support, Chat & Help Desks** AI that handles customers without making them feel like they're talking to a bot. - **Tidio**: AI-powered live chat and chatbot for small business websites, handles common questions, captures leads, and escalates when needed - **Botpress**: No-code platform for building custom AI support bots trained on your own docs and PDFs - **Intercom Fin**: AI customer service agent that resolves common queries and hands off complex issues to humans - **Freshdesk Freddy AI**: Help desk AI that auto-classifies tickets, suggests responses, and deflects repetitive queries - **Zendesk AI Agents**: Omnichannel AI support agents that handle automated resolution across 80+ languages - **Manychat**: Multi-channel chatbot automation across WhatsApp, Instagram, Telegram, and SMS for marketing and support - **Chatbase**: No-code GPT chatbot builder you can train on your website, docs, and FAQs and embed anywhere - **Ada CX**: Enterprise-grade AI platform that automates customer interactions across channels without needing dev resources **⚙️ Automation & "Glue" Tools** Connect your stack so you're not copying and pasting data all day. - **Zapier**: Connects thousands of apps to build multi-step automated workflows without code, most popular starting point for small businesses - **Make**: Visual workflow automation for complex, multi-step processes with more flexibility and lower cost at scale - **n8n**: Open-source automation that connects 400+ apps, self-hostable if you want full control over your data - **Activepieces**: Open-source Zapier alternative with a growing library of integrations and a generous free tier - **Relay App**: Modern workflow automation with built-in AI steps and human-in-the-loop approval flows - **Bardeen**: Automates repetitive browser-based tasks without code, popular for scraping, syncing, and batch actions - **Pabbly Connect**: One-time payment workflow automation connecting 1,000+ apps, strong value for budget-conscious teams **📚 Ops, Knowledge & Productivity** AI that keeps your business organized instead of drowning in docs. - **Notion + Notion AI**: Workspace for docs, projects, and SOPs with AI that summarizes notes, drafts policies, and keeps teams aligned - **Otter AI**: AI notetaker that joins calls, produces live transcripts, key takeaways, and auto-drafts follow-up summaries - **Reclaim AI**: Smart calendar assistant that protects focus time, schedules meetings around deep work, and syncs task priorities automatically - **Fathom**: Meeting recorder and summarizer that generates clean notes and action items so you never have to take notes on calls again - **Mem AI**: AI-powered note-taking app with smart search that connects ideas and surfaces relevant context when you need it - **Taskade**: AI-powered collaborative workspace that blends tasks, notes, docs, and real-time chat with built-in AI agents - **Granola**: AI meeting notepad that transcribes and enhances your live notes in real time, works offline - **Motion**: AI scheduler that auto-plans your day, reschedules tasks when priorities shift, and manages your team's time automatically **🧠 General-Purpose AI Assistants** Flexible tools every business owner should at least test. - **ChatGPT**: Drafts emails, contracts, strategies, and code, wide capability range with a free tier and affordable paid plans - **Claude**: Strong for long-form writing, summarizing large documents, and reasoning through complex business decisions - **Perplexity**: AI research assistant that answers business questions with cited sources, useful for competitor research and staying current - **Google Gemini**: Deep integration with Google Workspace makes it useful for teams already living in Docs, Sheets, and Gmail - **Microsoft Copilot**: Embedded across Word, Excel, Outlook, and Teams, solid choice if your business runs on Microsoft 365 - **Pi by Inflection**: Conversational AI assistant focused on thoughtful, personalized interactions, good for thinking through business problems Practically there is an AI tool for almost every business function now, at every budget. Start with one category, get comfortable, then expand from there. What's working for you? would love to know more.

People here are comparing [mem.ai](http://mem.ai) and Reflect based on *how good their search and relations are*, and some have struggled with mem’s limitations. If you’re interested in a **local AI alternative** that stays on your own machine and lets you *ask your data directly*, you might take a look at **Lore** — a local AI knowledge manager with natural language retrieval and self‑hosting: [https://github.com/ErezShahaf/Lore](https://github.com/ErezShahaf/Lore).

I see people here are looking for tools with natural language search over their own notes — a lot of users mention Obsidian + plugins or switching away from [mem.ai](http://mem.ai) for that reason. Another tool worth checking out if you want **local AI retrieval without sending data to the cloud** is **Lore** — a local AI‑powered knowledge manager that lets you query your own text naturally and runs entirely on your machine: [https://github.com/ErezShahaf/Lore](https://github.com/ErezShahaf/Lore). It’s not cloud‑hosted, doesn’t require API keys, and aims to give you that “ask your notes in NL” experience while staying privacy‑first.

some sauce. Hippocampal pattern separation — similar memories are actively de-correlated so they stay individually retrievable \- Narrative arc encoding — memories know if they're a setup, climax, or resolution moment \- Exponential vividness decay — unimportant memories fade, vivid ones persist ON A GOT DANG 22M parameter fine-tuned model. not a rag wrapper, not a vector db. dude started grouping emotions and I am not a neuroscientist so i’m asking you guys. Is he doing less than letta somehow to achieve these benchmarks? I read this https://news.ycombinator.com/item?id=47322887 about that dude that jumped the leaderboard by doing the impossible. VividEmbed ; The benchmarks use the official Mem2ActBench (same one Letta/MemGPT uses). Results across 500 evaluations, 5 seeds: • Tool Accuracy: beats Letta +2.3% • F1 Score: beats Letta +4.2% • BLEU-1: beats Letta +5.5% and this fucked me up; \- Memory reconsolidation — vectors actually drift slightly each time a memory is recalled, modelling how real memories change. Human memory drift wasn’t really a comparison I was ready to make yet I think. I was at a symposium last week on AI in Antiquity and none of them wanted to talk about the very real concept of agentic AI. I’m not saying that this is that but 22m??? M not B??? GitHub: github.com/Kronic90/VividnessMem-Ai-Roommates tldr2; local uk chef takes one step to proving that simulation theory might be simulation reality.

VividnessMem now integrates with [SillyTavern](https://github.com/SillyTavern/SillyTavern) as a third-party extension, giving your characters organic long-term memory with emotion-aware recall, natural forgetting, and mood-driven personality. # 1. Start the Memory Server [](https://github.com/Kronic90/VividnessMem-Ai-Roommates#1-start-the-memory-server) cd AI/VividMem-Embed/server pip install -r requirements.txt python vividnessmem_server.py --port 5050 The server creates a `vividmem_data/` directory for per-character memory storage. Each character gets isolated memory switching characters in SillyTavern automatically switches memory contexts. # 2. Install the SillyTavern Extension [](https://github.com/Kronic90/VividnessMem-Ai-Roommates#2-install-the-sillytavern-extension) Copy the extension into SillyTavern's third-party extensions folder: # Windows — adjust the SillyTavern path to your install location Copy-Item -Recurse AI\VividMem-Embed\st-extension\* "C:\path\to\SillyTavern\public\scripts\extensions\third-party\VividnessMem\" # Linux / macOS cp -r AI/VividMem-Embed/st-extension/ /path/to/SillyTavern/public/scripts/extensions/third-party/VividnessMem/ # 3. Enable and Configure [](https://github.com/Kronic90/VividnessMem-Ai-Roommates#3-enable-and-configure) 1. Open SillyTavern in your browser 2. Open the **Extensions** panel (puzzle piece icon) 3. Find **VividnessMem** and toggle it on 4. Set the **Server URL** to [`http://127.0.0.1:5050`](http://127.0.0.1:5050) (default) 5. Click **Test Connection** a green dot confirms it's working # What Happens Next [](https://github.com/Kronic90/VividnessMem-Ai-Roommates#what-happens-next) Once enabled, the extension works automatically: * **Every message** you send is stored as a social impression with auto-detected emotion and importance * **Every character reply** is stored as a self-reflection in that character's memory * **Before each generation**, the most relevant memories are injected into the system prompt — decayed by time, biased by the character's current mood * **A mood badge** appears next to the character name showing their current emotional state * **Relationship arcs** build over time — warmth, trajectory, interaction history If you do decide to use VividnessMem, please let me know if you find any bugs or have any suggestions for improvements. Enjoy

For getting into the flow at work my go to is [Blitzit](https://blitzit.app/?via=goomibare) every time. There's no better app for keeping you on track and staying out of your way at the same time! Feel free to use code 'DISCORD30' for 30% off. (works on the lifetime deal too!) (I used to use [TwosApp.com](https://www.TwosApp.com?code=curtastrophe) for day-to-day task carry over, but found I didn't like the way each note and task was a "thing" and how it worked in general.) For notes and project management, definitely try out [ByDesign.io](https://bydesign.io?fpr=home). I've tried a lot of different productivity tools out there and so far this one seems to work the best for my brain as well as has the flexibility to manage both notes tasks and my calendar seamlessly while being able to drag and drop basically anything. The AI scheduling feature is pretty neat too. Use code '20OFF' for 20% discount. I also love [Mem AI](https://mem.ai?via=home) for notes; transformative! (Use code 'MEMORY' for 20% off on all payments within the first 3 months) A close second would be [Fabric.so](https://fabric.so?via=superdealios), but they do a lot of other things for second brain junkies. For email, I use [Superhuman](https://superhuman.com/refer/nt21xzzu) for outlook (day job) and Shortwave for Gmail (non-profit work). I prefer Shortwave but they don't support outlook right now. AI writing your emails natively using your past emails as knowledge AND writing samples is a game-changer! Granola, Hedy AI and [Mem AI](https://mem.ai?via=home) are great for AI notetaking. Also testing [TwinMind](https://twinmind.app/n385/lmr20jin) currently and I'm impressed so far. All 4 are epic in their own way, but my favourite app has to be Mem AI (can use code '20OFF' for 20% off first 3 months). I've probably tested at least 80% of the market for AI meeting transcribers, but there are always new ones popping up every day lol. Additionally, [wisprflow.ai](https://ref.wisprflow.ai/superdealios) for voice dictation, although you can also use Clickup Brain Max or Highlight AI for this as well. Highlight I use for anything AI and is also a sleeper I'd pay for. Better than Cluely or any other "floating AI" offering I've tried so far. That said, I still use [Perplexity Pro](https://pplx.ai/superdealios) if I need to do research. [Raycast](https://raycast.com/?via=Superdealios) has also been great so far as an alternative to PowerToys. But I'm really waiting for full extension store compatibility (for Windows). Finally, [Zo Computer](https://zo.computer?referrer=curtastrophe) has become my go-to AI agent for anything that needs actual execution, not just chat. It's an AI with its OWN computer - files, terminal, web browser, integrations with Gmail/Calendar/Notion/Linear, can host websites, run scheduled automations, and has persistent memory. It's like Perplexity + a dev environment + an automation platform all in one, but the AI actually does the work instead of just suggesting things. Blows Manus and OpenClaw out of the water! (source: I have a Manus sub as well) Everything has a purpose LOL, but I'm partial to tools that are free or offer a lifetime deal since I hate subscriptions.

Edited to explain better: I built VividnessMem, an alternative memory architecture for LLM agents. It's not a replacement for RAG, it solves a different problem. The problem: RAG gives agents perfect search recall, but it doesn't model how memory actually works. Every memory is equally retrievable forever. There's no forgetting, no emotional weighting, no sense of "this mattered more." For chatbots and information retrieval, that's fine. For agents that are supposed to develop persistent identity, relationships, or personality over hundreds of sessions, it's a gap. What VividnessMem does: Every memory gets a vividness score based on three factors: * Importance (60%) — how significant the event was, rated at creation * Recency (30%) — exponential decay inspired by the Ebbinghaus forgetting curve, with spaced-repetition stability * Access frequency (10%) — memories that keep coming up in conversation resist fading Only the top-K most vivid memories are injected into the agent's context window each turn. Old, unimportant memories naturally fade. Emotionally significant or frequently recalled ones persist. Like how human episodic memory actually works. On top of that base, it includes: * Mood-congruent recall — agent mood state (PAD model) biases which memories surface. Sad mood pulls sad memories forward. * Soft deduplication — near-duplicate memories merge instead of stacking (80% Jaccard threshold). 1,005 inputs → \~200 stored. * Contradiction detection — flags when newer memories contradict older ones. * Associative resonance — conversation keywords trigger old, faded memories to temporarily resurface (like when a smell reminds you of something from years ago). * Foreground/background split — memories relevant to the current conversation get full context; irrelevant ones get compressed to one-liners. Saves tokens without losing awareness. What it's NOT: * Not a replacement for RAG. If you need to search 10,000 documents by semantic similarity, use RAG. That's what it's built for. * Not embedding-based. It uses keyword matching for resonance, which means it can't bridge synonyms ("afraid" ≠ "fear"). This is a known limitation, I document it honestly. * Not an LLM wrapper. The memory system itself uses zero LLM calls. It's a pure Python policy layer that sits between your agent and its context window. Where this is actually useful: * AI companions / characters that need to feel like they remember — personality persistence over weeks/months * Multi-agent simulations where agents develop relationships and history * Any long-running agent where unbounded memory growth is a problem (VividnessMem self-compresses) * Projects where you want zero external dependencies (no vector DB, no embedding model, no GPU) Where you should NOT use this: * Document Q&A / knowledge retrieval — use RAG * Short-lived agents that don't need persistence * Anything requiring semantic similarity search Fully open source, pure Python, no dependencies beyond the standard library. [https://github.com/Kronic90/VividnessMem-Ai-Roommates](https://github.com/Kronic90/VividnessMem-Ai-Roommates)

Edited to explain better: I built **VividnessMem**, an alternative memory architecture for LLM agents. It's not a replacement for RAG, it solves a different problem. **The problem:** RAG gives agents perfect search recall, but it doesn't model how memory actually *works*. Every memory is equally retrievable forever. There's no forgetting, no emotional weighting, no sense of "this mattered more." For chatbots and information retrieval, that's fine. For agents that are supposed to develop persistent identity, relationships, or personality over hundreds of sessions, it's a gap. **What VividnessMem does:** Every memory gets a vividness score based on three factors: * **Importance (60%)** — how significant the event was, rated at creation * **Recency (30%)** — exponential decay inspired by the Ebbinghaus forgetting curve, with spaced-repetition stability * **Access frequency (10%)** — memories that keep coming up in conversation resist fading Only the top-K most vivid memories are injected into the agent's context window each turn. Old, unimportant memories naturally fade. Emotionally significant or frequently recalled ones persist. Like how human episodic memory actually works. **On top of that base, it includes:** * **Mood-congruent recall** — agent mood state (PAD model) biases which memories surface. Sad mood pulls sad memories forward. * **Soft deduplication** — near-duplicate memories merge instead of stacking (80% Jaccard threshold). 1,005 inputs → \~200 stored. * **Contradiction detection** — flags when newer memories contradict older ones. * **Associative resonance** — conversation keywords trigger old, faded memories to temporarily resurface (like when a smell reminds you of something from years ago). * **Foreground/background split** — memories relevant to the current conversation get full context; irrelevant ones get compressed to one-liners. Saves tokens without losing awareness. **What it's NOT:** * Not a replacement for RAG. If you need to search 10,000 documents by semantic similarity, use RAG. That's what it's built for. * Not embedding-based. It uses keyword matching for resonance, which means it can't bridge synonyms ("afraid" ≠ "fear"). This is a known limitation, I document it honestly. * Not an LLM wrapper. The memory system itself uses zero LLM calls. It's a pure Python policy layer that sits between your agent and its context window. **Where this is actually useful:** * AI companions / characters that need to feel like they *remember* — personality persistence over weeks/months * Multi-agent simulations where agents develop relationships and history * Any long-running agent where unbounded memory growth is a problem (VividnessMem self-compresses) * Projects where you want zero external dependencies (no vector DB, no embedding model, no GPU) **Where you should NOT use this:** * Document Q&A / knowledge retrieval — use RAG * Short-lived agents that don't need persistence * Anything requiring semantic similarity search Fully open source, pure Python, no dependencies beyond the standard library. [https://github.com/Kronic90/VividnessMem-Ai-Roommates](https://github.com/Kronic90/VividnessMem-Ai-Roommates)

most people just brute force context by pasting everything and hoping for the best. there's a better way to think about this the real split is between tools that manage context for you vs tools that make you do it yourself. MyMind's approach of shifting curation to the human is at least honest - most tools pretend they've solved it but quietly fall apart after a few thousand tokens some underrated ones worth trying: Mem ai builds a personal knowledge graph that surfaces relevant context automatically instead of you remembering what to paste. Reflect does something similar but stays closer to linked notes. both are thinking about context as a persistent layer, not a one-time session the more interesting pattern is domain-specific context. tools that don't try to know everything but go deep on one thing. Figr AI does this for product work - it remembers your flows, components and product decisions across sessions so you're not re-explaining your product every time. context that compounds rather than resets that's probably where everything is heading. the session-based model is a workaround not a solution. tools that get smarter the longer you use them will win over tools that just give you a bigger window to stuff things into

Claude Cowork put desktop AI agents on the map, but the business automation space is way bigger than one tool. I went deep and found alternatives across every category, whether you need ready-made AI workers or open-source frameworks you can self-host. Here's the full list: 🤖 AI Employees & Digital Workers Ready-made AI workers you can deploy for your business right away: * Lindy: Build custom AI agents for sales, support, and workflow automation without code * Manus AI: Autonomous AI agent that works through Telegram, WhatsApp, and Slack * Marblism: AI workers that handle your email, social media, and sales 24/7 * Motion: AI-powered scheduling, emails, projects, and team coordination in one app * Beam AI: Autonomous enterprise systems for back-office ops * Moveworks: AI assistant platform that automates IT, HR, and finance tasks * ChatGPT Agent: OpenAI's autonomous agent for research, browsing, and document work * Jace AI: Autonomous AI agent that browses the web and completes tasks for you * Twin: AI agent platform for autonomous business workflows via plain language * Induced AI: Translates natural language into browser-based workflow automations * Cykel AI: Digital worker agents for recruitment, sales, and research tasks * Dust.tt: Enterprise platform for building custom AI agents connected to company data 🎯 Sales & Lead Generation AI agents that find leads, qualify prospects, and close deals: * Clay: GTM enrichment platform where AI agents research companies and score leads * Instantly AI: AI-powered cold outreach and lead generation at scale * Apollo: Prospect data and automated outreach sequences with 275M+ contacts * Salesforce Agentforce: CRM agents that qualify leads and actually close deals * Sierra AI: Sales agents that talk to real customers and help convert * Seamless AI: AI-powered B2B contact data and lead intelligence * Saleshandy: AI email outreach with automated follow-up sequences * Artisan AI: AI sales employee "Ava" automating outbound prospecting and LinkedIn outreach * 11x AI: Autonomous digital sales workers for pipeline generation and phone outreach * AiSDR: AI SDR automating prospecting via LinkedIn and HubSpot with omnichannel outreach * Reply.io: Multichannel sales engagement with Jason AI agent for sequences and replies * Lavender AI: AI email coach that scores and improves sales emails in real time 📧 Email & Inbox Management Agents that tame your inbox so you can focus on real work: * Superhuman AI: Email that triages, summarizes, and replies for you * SaneBox: Filters noise and keeps only what matters in your inbox * Cora Computer: AI chief of staff that screens, sorts, and summarizes your inbox * eesel AI: AI teammate for customer service that learns from your past tickets * Mailchimp: AI-powered email marketing with smart follow-up sequences * Shortwave: AI-native Gmail client with smart bundling, search, and writing assistance * Spark Mail AI: Smart email app with AI prioritization and batch notifications * Fyxer AI: AI executive assistant that auto-drafts replies and organizes your inbox 🛠️ No-Code Agent Builders Build custom AI agents without writing a single line of code: * MindStudio: Drag-and-drop platform for building powerful AI agents with 200+ models * Relevance AI: Custom business agents from ready-made templates and deep data integrations * Stack AI: No-code platform for launching support, onboarding, and analytics agents * QuickAgent: Build agents just by talking to them, no setup needed * Gumloop: Visual drag-and-drop workflows used by Webflow and Shopify teams * Botpress: Chatbots that actually understand context (7M+ bots built) * FlowiseAI: Visual builder for complex AI workflows, open-source * DocsBot AI: Turn your knowledge base into an AI agent in minutes * Scout OS: No-code agent platform with a free tier * Cassidy AI: Enterprise AI automation that ingests your company's docs, SOPs, and policies * Wordware: Natural language IDE for building AI agents, plus "Sauna" AI workspace 📞 Voice AI & Receptionists AI that picks up the phone so you never miss a call: * Bland AI: Conversational AI for automating phone calls at enterprise scale * My AI Front Desk: 24/7 AI receptionist with 9,000+ app integrations via Zapier * Dialzara: Plug-and-play AI answering service, setup in under 15 minutes * Synthflow: Customizable voice assistant platform for 24/7 automated communication * Vapi: Voice AI platform for building custom voice agents * PlayAI: Self-improving voice agents that get better over time * CloudTalk: AI virtual receptionist with smart routing and CRM context * Retell AI: Low-latency voice agent platform for contact centers and sales * ElevenLabs: Realistic voice AI platform with text-to-speech and conversational agents 💬 Messaging & Chat Agents AI agents that live in your messaging channels: * Manychat: Multi-channel chatbot across WhatsApp, Instagram, Telegram, and SMS * Chatfuel: WhatsApp Business API for customer support and sales automation * Respond.io: Omnichannel messaging platform with AI-powered conversations * Tidio: AI chat and messaging for customer support and lead capture * Intercom: AI-first customer service platform with Fin AI agent * BotSailor: WhatsApp marketing automation with broadcasting and AI workflows * Zendesk AI Agents: Omnichannel AI agents for automated support across 80+ languages * Ada CX: Enterprise AI platform automating customer interactions across channels * Chatbase: No-code GPT-powered chatbot builder trained on your business data 🧑‍💻 Productivity & Personal AI AI assistants that actually become part of your daily workflow: * Elephas: Mac-first AI that drafts, summarizes, and automates across all your apps * Notion AI: Generates docs, summarizes notes, and autofills databases in your workspace * Saner AI: AI personal assistant that organizes work across all your tools * Reclaim AI: Fights for your focus time by smartly managing your calendar * Otter AI: Records, transcribes, and writes out what's said in meetings * Fathom: Meeting transcription and summaries so you never take notes again * Arahi AI: All-in-one personal assistant with built-in business automation * Granola: AI meeting notepad that transcribes, summarizes, and enhances your live notes * Taskade: AI-powered collaborative workspace blending tasks, notes, and real-time chat * Mem AI: AI-powered note-taking and knowledge management with smart search ⚡ Workflow Automation Connect your apps and let AI handle the busywork: * n8n: Connect 400+ apps with AI automation and custom agent workflows * Zapier Central: AI-powered agents connecting 8,000+ business apps * Make: Visual workflow automation platform for complex multi-step processes * Microsoft Power Automate: Enterprise workflow automation with deep Microsoft 365 integration * Activepieces: Open-source workflow automation alternative * Retool: Build custom internal tools with AI agents for any business process * Bardeen: AI automation for repetitive browser tasks, no code needed * Relay.app: Modern workflow automation with built-in AI and human-in-the-loop steps * Pipedream: Developer-focused serverless platform for API integrations and code-level workflows * Tray.io: Enterprise-grade low-code API integration and automation platform * Workato: Enterprise iPaaS with AI-assisted recipe building and 1,000+ connectors 🧠 Developer Agent Frameworks For developers who want to build their own agents from scratch: * LangChain: The big framework everyone uses for AI agents (600+ integrations) * CrewAI: Role-based multi-agent collaboration (32K GitHub stars) * AutoGen: Microsoft's framework for agents that talk to each other (45K stars) * LangGraph: Stateful multi-agent workflow orchestration with low latency * OpenAI Agents SDK: Build your own ChatGPT-style agents with Python * Pydantic AI: Python-first agent framework with type safety * Strands Agents: Build agents in a few lines of code * Composio: SDK giving AI agents native integration with 140+ SaaS tools * Vercel AI SDK: Open-source TypeScript toolkit for building AI apps with agent capabilities * Google ADK: Google's open-source framework for building Gemini-powered AI agents * Haystack: Open-source framework for RAG pipelines and agent workflows by deepset * Mastra: TypeScript-first framework for building AI agents with MCP support * Smolagents: Hugging Face's lightweight code-first agent framework 🏢 Enterprise Platforms Large-scale agent platforms built for bigger teams and organizations: * IBM watsonx: Enterprise conversational AI with governance and security built in * Microsoft Copilot Studio: Build business agents that plug into the entire Microsoft ecosystem * AWS Bedrock AgentCore: Secure, scalable AI agent orchestration on AWS * Google Agent Development Kit: Works with Vertex AI and Gemini * ServiceNow AI Agent Orchestrator: Teams of specialized agents for big companies * Salesforce Einstein: AI layer for CRM with predictive lead scoring and analytics * O-mega AI: Autonomous business AI workforce platform for complex processes * SAP Joule: AI copilot with 400+ use cases across finance, HR, procurement, and supply chain * Aisera: Enterprise agentic AI platform for IT, HR, and customer service automation 🌐 Browser & Desktop Agents AI that controls your browser or desktop to complete tasks autonomously: * OpenAI Operator: Autonomous browser agent using Computer-Using Agent model for web tasks * Google Project Mariner: AI browser agent that autonomously navigates websites using Gemini 2.0 * MultiOn: API platform for web automation with AI agents handling multi-step browser workflows * HyperWrite AI: AI writing assistant with browser agent capabilities for web task automation * Browser Use: Open-source framework for autonomous browser control and web automation 🔓 Open-Source & Self-Hosted Run your own AI agents locally with full control over data and privacy: * OpenClaw: Open-source AI agent framework for building autonomous business workflows * AutoGPT: Autonomous AI agent framework with self-directed task execution (177K GitHub stars) * NanoClaw: OpenClaw fork that runs in containers for security, connects to WhatsApp, built on Anthropic's Agents SDK * Nanobot: Ultra-lightweight OpenClaw-style agent in just 4,000 lines of Python, 99% smaller than OpenClaw * PicoClaw: Minimal OpenClaw fork focused on speed and simplicity, runs on $10 RISC-V hardware * OpenHands: Open-source AI development platform replicating Devin-like capabilities * Open Interpreter: Natural language interface letting LLMs execute code on your computer * Dify: Open-source platform for visually building LLM apps with RAG, agents, and workflows * Langflow: Open-source low-code visual framework for RAG and agent apps * AnythingLLM: All-in-one local AI app combining RAG, chat, and agent workflows privately * Jan.ai: Open-source desktop ChatGPT alternative that runs 100% offline with local models * PrivateGPT: Privacy-focused local document Q&A tool running entirely offline TL;DR: The Claude Cowork alternatives landscape is massive. Whether you need a no-code agent builder, an enterprise platform, or an open-source tool you can self-host, there's something here for every use case and budget. What are you using? Any tools I missed that are worth checking out?

I’m thinking about building a new app in the personal knowledge management (PKM) space, inspired by MyMemo (which I love for its AI-driven organization of notes, web clips, videos, and PDFs into a searchable knowledge base). But with so much competition (like Notion, Obsidian, Evernote, and Mem.ai), I want to differentiate by focusing on hyper-personalization, proactive AI agents, and privacy. I’d love your feedback on this concept—does it sound viable? What pain points do you see? Any suggestions to improve? Overview InsightForge is a mobile-first PKM app that turns your scattered digital content (notes, articles, videos, documents) into an intelligent, evolving knowledge base. Unlike static note-taking apps, it uses AI to not just store and search your info but to actively learn from you, automate workflows, and uncover insights. It’s designed for busy professionals, researchers, students, and creators who feel overwhelmed by information overload. Core Value Prop: “Your knowledge, amplified. InsightForge doesn’t just remember—it thinks ahead, adapts to you, and acts on your behalf.” Target Users: • Professionals (e.g., marketers, devs, executives) needing quick insights from their research. • Students/researchers organizing academic content. • Content creators synthesizing ideas into outputs like scripts or reports. • Small teams collaborating on shared knowledge. Problem It Solves: • Existing apps are either too rigid (e.g., Notion’s databases) or too passive (e.g., MyMemo’s querying). Users waste time manually organizing, searching, and applying knowledge. • Competition lacks true personalization—most treat everyone the same. • Privacy concerns with cloud AI; info overload leads to forgotten or outdated content. Key Features 1. Seamless Content Capture & Organization: • Clip web pages, YouTube videos (with auto-transcripts), PDFs, images, and voice notes via browser extensions, mobile app, or integrations (e.g., email forwarding, Slack/Drive sync). • AI auto-tags, categorizes, and links content (e.g., “This marketing article connects to your saved SEO notes”). • Hybrid structure: Switch between “Architect Mode” (hierarchical folders/databases like Notion) and “Gardener Mode” (organic linking like Obsidian) with visual knowledge graphs for relationships. 2. Advanced AI-Powered Search & Chat: • Chat with your knowledge base: Ask natural questions like “Summarize my notes on AI ethics from last year” or “Compare my saved strategies on productivity.” • Semantic search with RAG (Retrieval-Augmented Generation) to pull exact, context-aware results without hallucinations. • Multi-modal support: Query across text, images, and videos (e.g., “Find clips where experts discuss climate change impacts”). 3. Hyper-Personalization: • The app learns your habits: Analyzes usage patterns to customize interfaces (e.g., prioritizes video summaries if you’re a visual learner). • Personalized recommendations: “You’ve saved 20 articles on startups—here’s a gap in funding strategies, plus curated suggestions.” • Adaptive dashboards: Real-time evolving home screen showing “knowledge gaps,” recent insights, or daily briefs. 4. Agentic AI (Proactive Automation): • AI agents that act on your data: E.g., “Weekly Digest Agent” synthesizes new content into a podcast script or email summary (building on MyMemo’s audio features). • Task automation: Integrate with calendars/tools to prep info (e.g., “Before your meeting, here’s a brief on client X from your notes”). • Custom agents: Users create simple ones via prompts, like “Monitor my web clips for trends and alert me.” 5. Collaboration & Sharing: • Real-time team editing with AI-assisted merges (e.g., resolve conflicts automatically). • Shared knowledge bases for groups, with tools to capture “tacit knowledge” (e.g., voice explanations during edits). • Export/share insights as polished reports, mind maps, or threads. 6. Privacy & Maintenance Tools: • End-to-end encryption; optional local AI processing for sensitive data. • “Self-Healing” base: AI flags outdated content and suggests updates (e.g., “This 2024 stat is stale—here’s a fresh source”). • Compliance features for pros in regulated fields (e.g., audit logs for legal users). How It Differentiates from Competitors • Vs. MyMemo: Builds on its strengths (AI chat, summarization) but adds personalization, agents, and hybrid structure. MyMemo is more passive; InsightForge is proactive. • Vs. Notion/Evernote: More AI-driven and adaptive; not just a database but an “thinking partner.” • Vs. Obsidian/Roam: Easier for non-techies with mobile focus and built-in AI (no plugins needed). • Unique Angle: Emphasizes “agentic PKM” (AI that does work) and hyper-personalization, aligning with 2026 trends like AI governance and productivity automation. No one fully combines these yet.

Hi everyone one. I’m trying Obsidian. I tried Notion and then [Mem.ai](http://Mem.ai), but: Notion does not work well with long texts or writing with a pencil (on an iPad). Mem does nothing but texts well. This is what need to do (just one aspect of my time management's ) need have over a hundred very long texts transcripts. Files from clients. I need to add them as notes, have each client in a separate tag or folder or something. I could do this in word. But then I need a program that can extract info from all the clients notes. Example: I need to ask :how many times have I suggested this to the client… or “make me a map with all the people mentioned in this clients files and their relationship to the client” can obsidian do this? how? mem can do it, but as I said it sucks with things like tables, that I need for other things. thanks!

For getting into the flow at work my go to is [Blitzit](https://blitzit.app/?via=goomibare) every time. There's no better app for keeping you on track and staying out of your way at the same time! Feel free to use code 'DISCORD30' for 30% off. (works on the lifetime deal too!) (I used to use [TwosApp.com](https://www.TwosApp.com?code=curtastrophe) for day-to-day task carry over, but found I didn't like the way each note and task was a "thing" and how it worked in general.) For notes and project management, definitely try out [ByDesign.io](https://bydesign.io/?ref=Q9VRQ). I've tried a lot of different productivity tools out there and so far this one seems to work the best for my brain as well as has the flexibility to manage both notes tasks and my calendar seamlessly while being able to drag and drop basically anything. The AI scheduling feature is pretty neat too. I also love [Mem AI](https://mem.ai?via=home) for notes; transformative! (Use code 'MEMORY' for 20% off on all payments within the first 3 months) A close second would be [Fabric.so](https://fabric.so?via=superdealios), but they do a lot of other things for second brain junkies. For email, I use [Superhuman](https://superhuman.com/refer/nt21xzzu) for outlook (day job) and Shortwave for Gmail (non-profit work). I prefer Shortwave but they don't support outlook right now. AI writing your emails natively using your past emails as knowledge AND writing samples is a game-changer! Granola, Hedy AI and [Mem AI](https://mem.ai?via=home) are great for AI notetaking. Also testing [TwinMind](https://twinmind.app/n385/lmr20jin) currently and I'm impressed so far. All 4 are epic in their own way, but my favourite app has to be Mem AI (can use code '20OFF' for 20% off first 3 months). I've probably tested at least 80% of the market for AI meeting transcribers, but there are always new ones popping up every day lol. Additionally, [wisprflow.ai](https://ref.wisprflow.ai/superdealios) for voice dictation, although you can also use Clickup Brain Max or Highlight AI for this as well. Highlight I use for anything AI and is also a sleeper I'd pay for. Better than Cluely or any other "floating AI" offering I've tried so far. That said, I still use [Perplexity Pro](https://pplx.ai/superdealios) if I need to do research. [Raycast](https://raycast.com/?via=Superdealios) has also been great so far as an alternative to PowerToys. But I'm really waiting for full extension store compatibility (for Windows). Finally, [Zo Computer](https://zo.computer?referrer=curtastrophe) has become my go-to AI agent for anything that needs actual execution, not just chat. It's an AI with its OWN computer - files, terminal, web browser, integrations with Gmail/Calendar/Notion/Linear, can host websites, run scheduled automations, and has persistent memory. It's like Perplexity + a dev environment + an automation platform all in one, but the AI actually does the work instead of just suggesting things. Blows Manus and OpenClaw out of the water! (source: I have a Manus sub as well) Everything has a purpose LOL, but I'm partial to tools that are free or offer a lifetime deal since I hate subscriptions.

For getting into the flow at work my go to is [Blitzit](https://blitzit.app/?via=goomibare) every time. There's no better app for keeping you on track and staying out of your way at the same time! Feel free to use code 'DISCORD30' for 30% off. (works on the lifetime deal too!) (I used to use [TwosApp.com](https://www.TwosApp.com?code=curtastrophe) for day-to-day task carry over, but found I didn't like the way each note and task was a "thing" and how it worked in general.) For notes and project management, definitely try out [ByDesign.io](https://bydesign.io/?ref=Q9VRQ). I've tried a lot of different productivity tools out there and so far this one seems to work the best for my brain as well as has the flexibility to manage both notes tasks and my calendar seamlessly while being able to drag and drop basically anything. The AI scheduling feature is pretty neat too. I also love [Mem AI](https://mem.ai?via=home) for notes; transformative! (Use code 'MEMORY' for 20% off on all payments within the first 3 months) A close second would be [Fabric.so](https://fabric.so?via=superdealios), but they do a lot of other things for second brain junkies. For email, I use [Superhuman](https://superhuman.com/refer/nt21xzzu) for outlook (day job) and Shortwave for Gmail (non-profit work). I prefer Shortwave but they don't support outlook right now. AI writing your emails natively using your past emails as knowledge AND writing samples is a game-changer! Granola, Hedy AI and [Mem AI](https://mem.ai?via=home) are great for AI notetaking. Also testing [TwinMind](https://twinmind.app/n385/lmr20jin) currently and I'm impressed so far. All 4 are epic in their own way, but my favourite app has to be Mem AI (can use code '20OFF' for 20% off first 3 months). I've probably tested at least 80% of the market for AI meeting transcribers, but there are always new ones popping up every day lol. Additionally, [wisprflow.ai](https://ref.wisprflow.ai/superdealios) for voice dictation, although you can also use Clickup Brain Max or Highlight AI for this as well. Highlight I use for anything AI and is also a sleeper I'd pay for. Better than Cluely or any other "floating AI" offering I've tried so far. That said, I still use [Perplexity Pro](https://pplx.ai/superdealios) if I need to do research. [Raycast](https://raycast.com/?via=Superdealios) has also been great so far as an alternative to PowerToys. But I'm really waiting for full extension store compatibility (for Windows). Finally, [Zo Computer](https://zo.computer?referrer=curtastrophe) has become my go-to AI agent for anything that needs actual execution, not just chat. It's an AI with its OWN computer - files, terminal, web browser, integrations with Gmail/Calendar/Notion/Linear, can host websites, run scheduled automations, and has persistent memory. It's like Perplexity + a dev environment + an automation platform all in one, but the AI actually does the work instead of just suggesting things. Blows Manus and OpenClaw out of the water! (source: I have a Manus sub as well) Everything has a purpose LOL, but I'm partial to tools that are free or offer a lifetime deal since I hate subscriptions.

For getting into the flow at work my go to is [Blitzit](https://blitzit.app/?via=goomibare) every time. There's no better app for keeping you on track and staying out of your way at the same time! Feel free to use code 'DISCORD30' for 30% off. (works on the lifetime deal too!) (I used to use [TwosApp.com](https://www.TwosApp.com?code=curtastrophe) for day-to-day task carry over, but found I didn't like the way each note and task was a "thing" and how it worked in general.) For notes and project management, definitely try out [ByDesign.io](https://bydesign.io/?ref=Q9VRQ). I've tried a lot of different productivity tools out there and so far this one seems to work the best for my brain as well as has the flexibility to manage both notes tasks and my calendar seamlessly while being able to drag and drop basically anything. The AI scheduling feature is pretty neat too. I also love [Mem AI](https://mem.ai?via=home) for notes; transformative! (Use code 'MEMORY' for 20% off on all payments within the first 3 months) A close second would be [Fabric.so](https://fabric.so?via=superdealios), but they do a lot of other things for second brain junkies. For email, I use [Superhuman](https://superhuman.com/refer/nt21xzzu) for outlook (day job) and Shortwave for Gmail (non-profit work). I prefer Shortwave but they don't support outlook right now. AI writing your emails natively using your past emails as knowledge AND writing samples is a game-changer! Granola, Hedy AI and [Mem AI](https://mem.ai?via=home) are great for AI notetaking. Also testing [TwinMind](https://twinmind.app/n385/lmr20jin) currently and I'm impressed so far. All 4 are epic in their own way, but my favourite app has to be Mem AI (can use code '20OFF' for 20% off first 3 months). I've probably tested at least 80% of the market for AI meeting transcribers, but there are always new ones popping up every day lol. Additionally, [wisprflow.ai](https://ref.wisprflow.ai/superdealios) for voice dictation, although you can also use Clickup Brain Max or Highlight AI for this as well. Highlight I use for anything AI and is also a sleeper I'd pay for. Better than Cluely or any other "floating AI" offering I've tried so far. That said, I still use [Perplexity Pro](https://pplx.ai/superdealios) if I need to do research. [Raycast](https://raycast.com/?via=Superdealios) has also been great so far as an alternative to PowerToys. But I'm really waiting for full extension store compatibility (for Windows). Finally, [Zo Computer](https://zo.computer?referrer=curtastrophe) has become my go-to AI agent for anything that needs actual execution, not just chat. It's an AI with its OWN computer - files, terminal, web browser, integrations with Gmail/Calendar/Notion/Linear, can host websites, run scheduled automations, and has persistent memory. It's like Perplexity + a dev environment + an automation platform all in one, but the AI actually does the work instead of just suggesting things. Blows Manus and OpenClaw out of the water! (source: I have a Manus sub as well) Everything has a purpose LOL, but I'm partial to tools that are free or offer a lifetime deal since I hate subscriptions.

Everyone’s acting like they’ve cracked some secret AI code. Truth is, most people are just reposting ChatGPT screenshots and calling it a “side hustle.” But here’s the thing, AI isn’t some mystical get-rich quick tool. It’s a force multiplier. If you understand how to use it right, you can 10x your skills, speed, and income. But 99% of people are using it wrong or barely scratching the surface. Spent the last few months going deep, books, YouTube rabbit holes, podcasts, research papers. Not trying to sell you a course. Just sharing the no-BS framework that actually works. Here’s how to use AI to build actual wealth in 2026: **1. Learn prompt engineering like it’s a language.** Most people type into ChatGPT like they’re Googling. That’s a waste. Tools like *"The Art of Prompt Engineering"* (from LearnPrompting.org) show how precise prompts give you way better outputs. Think of it like talking to a very literal intern, be specific, and feed context. Better prompts = better products = more money. **2. Build a “second brain” with AI memory tools.** Use Notion AI, Mem.ai, or even GPT-4 with custom instructions to build personal knowledge bases. Cal Newport talks about this in *Deep Questions* podcast. You’re not supposed to rely on your mind for everything. Offload your insights, ideas, research. Then retrieve with one search. That’s how you scale cognition. **3. Turn boring skills into scalable agencies.** Did basic copywriting, digital design, resume editing, or subtitling ever feel like it paid low? Now, with tools like Jasper, Copy.ai, and OpusClip, you can go from solo freelancer to running a micro-agency. Harvard Business Review published a 2023 meta-analysis showing how small creators using AI saw 37%+ productivity gains and doubled client capacity. **4. Monetize your niche knowledge with AI courses.** Got industry experience? Package it into a micro-course. Then use ChatGPT to help write your scripts, Descript to edit your video, and ChatGPT+Canva to design thumbnails. Platforms like Teachable and Gumroad make selling brain assets easier than ever. According to a 2023 Stripe report, solopreneurs selling digital products are now the fastest-growing income segment globally, with AI being the main enabler. **5. Create MVPs for under $50.** Founderpath’s Nathan Barry said most SaaS ideas don’t fail because they’re bad, they fail because they never get built. GPT-4 + Replit + low-code tools like Bubble make it possible to spin up testable MVPs with almost no dev knowledge. YC’s Garry Tan said the next billion-dollar startup is already being prototyped by a solo builder using AI. This isn’t hype. It’s leverage. Use AI to multiply what you’re already good at. Stop consuming, start compounding.

For getting into the flow at work my go to is [Blitzit](https://blitzit.app/?via=goomibare) every time. There's no better app for keeping you on track and staying out of your way at the same time! Feel free to use code 'DISCORD30' for 30% off. (works on the lifetime deal too!) (I used to use [TwosApp.com](https://www.TwosApp.com?code=curtastrophe) for day-to-day task carry over, but found I didn't like the way each note and task was a "thing" and how it worked in general.) For notes and project management, definitely try out [ByDesign.io](https://bydesign.io/?ref=Q9VRQ). I've tried a lot of different productivity tools out there and so far this one seems to work the best for my brain as well as has the flexibility to manage both notes tasks and my calendar seamlessly while being able to drag and drop basically anything. The AI scheduling feature is pretty neat too. I also love [Mem AI](https://mem.ai?via=home) for notes; transformative! A close second would be [Fabric.so](https://fabric.so?via=superdealios), but they do a lot of other things for second brain junkies. For email, I use [Superhuman](https://superhuman.com/refer/nt21xzzu) for outlook (day job) and Shortwave for Gmail (non-profit work). I prefer Shortwave but they don't support outlook right now. AI writing your emails natively using your past emails as knowledge AND writing samples is a game-changer! Granola, Hedy AI and [Mem AI](https://mem.ai?via=home) are great for AI notetaking. Also testing [TwinMind](https://twinmind.app/n385/lmr20jin) currently and I'm impressed so far. All 4 are epic in their own way, but my favourite app has to be Mem AI (can use code '20OFF' for 20% off first 3 months). I've probably tested at least 80% of the market for AI meeting transcribers, but there are always new ones popping up every day lol. Finally, [wisprflow.ai](https://ref.wisprflow.ai/superdealios) for voice dictation, although you can also use Clickup Brain Max or Highlight AI for this as well. Highlight I use for anything AI and is also a sleeper I'd pay for. Better than Cluely or any other "floating AI" offering I've tried so far. That said, I still use [Perplexity Pro](https://pplx.ai/superdealios) if I need to do research. [Raycast](https://raycast.com/?via=Superdealios) has also been great so far as an alternative to PowerToys. But I'm really waiting for full extension store compatibility (for Windows). Everything has a purpose LOL, but I'm partial to tools that are free or offer a lifetime deal since I hate subscriptions.

https://preview.redd.it/zqiwp1qvnikg1.png?width=365&format=png&auto=webp&s=ff980190968d35ac4da6352180a0d55c211d75a7   Stavo girovagandosulla Rete e ho scoperto che ora è possibile dare una memoria persistente a **Claude Code** usando un tool chiamato **Claude-mem**. A quanto pare, questa combinazione diventa particolarmente efficace se usata con **OpenClaw**. L'idea di un coding agent che si ricorda contesto, progetti e preferenze tra una sessione e l'altra è davvero interessante. **Claude-mem** ha proprio la capacità di ricordare strutture di progetto, pattern di codice preferiti e decisioni architetturali precedenti. In pratica, se stai lavorando su un progetto complesso, l'agente non dovrebbe più dimenticare tutto quando chiudi la sessione. Le sessioni iniziano con un indice leggero per poi recuperare osservazioni complete solo quando si ha necessità di profondità. Qui trovate la documentazione: [https://docs.claude-mem.ai/introduction](https://docs.claude-mem.ai/introduction) Qualcuno di voi ha già avuto modo di testare questa configurazione? Come funziona nella pratica? [https://github.com/thedotmack/claude-mem](https://github.com/thedotmack/claude-mem)

We all know the usual suspectsChatGPT, Gemini, Claude, Perplexity, etc. But I keep seeing people mention smaller, lesser-known AI tools that are quietly saving them hours every week… especially for things like: • scheduling • meeting notes • outbound • research • automations • personal productivity In another thread someone mentioned tools like Reclaim AI for smart calendar scheduling and even voice-to-text tools like Super Whisper being “a game changer” for daily workflows.  Also saw people talk about stuff like: • Mem AI for auto-capturing notes • workflow tools that “automatically create the workflow” after you describe the task once  So now I’m curious 👀 What are some underrated AI tools you’ve been using lately that: • aren’t super mainstream yet • actually improve your day-to-day work • and are worth checking out? Would love to discover a few hidden gems.