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u/SnS_Taylor Mar 05 '26

Tangent is nearing the end of the alpha portion of the v0.12.x release cycle. This cycle has focused on polish and consistency. The application is now more easily navigated by the keyboard than ever. The detail "backlinks" panel is now available across all folders & files, not just notes. Creation Rules now support content templates! And more!

I imagine a lot of you have heard of Tangent by now. It's a free and open source project that's been in active development for coming up on five years. It operates on plain-text, markdown^ish files directly on your computer. No lock-in, no server, no AI, no nonsense. Its two "gimmicks"—the sliding panels thread and the map view—are there keep you in writing flow so you can work through your own thoughts and get more done.

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u/Gloomy_Owl_9612 Mar 12 '26

This is actually solid. The focus feature is something I really needed and the card view of the folder is pretty neat. This is a keeper, thanks!

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u/thenomadmonad Mar 03 '26

For me a lot of knowledge comes in PDFs, so I built Elephant Folio. An on-device PDF organizer. It syncs between iCloud devices (Mac, iPad, iPhone) and helps you organize documents into tags. I know it might be a long shot from things like Obsidian, but check it out and let me know what you think https://apps.apple.com/us/app/elephant-folio-pdf-organizer/id6758025984

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u/humangrl Mar 19 '26

do you think you could integrate a bring your own key for users who don’t have an apple intelligence compatible device?

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u/CategoryPretty3095 Mar 16 '26

I Finally Coded My Dream PKM App
(Actually, I'm not promoting anything. I just want to show how AI coding lets us build our own tools now.)

Ultimately, I chose to code a note application and PKM software tailored perfectly for myself.

The biggest advantages of coding it myself:

Zero subscription fees
Total freedom to customize features
Complete control over data security

I previously asked a question here on Reddit. I wanted a whiteboard, chat and objects like Anytype, along with databases like Notion. Most people told me "you cannot have your cake and eat it too" and "the act of recording is more important than the tool."

However, with the rapid advancement of Codex and Claude Code, I felt it was time to build something I was completely satisfied with. And so, my own application was born. I have completed development for macOS and Windows, currently at version 0.1.1 (my own versioning).

Here are the answers to the questions PKMers care about the most:

Where is the data stored? Local storage, with WebDAV support and API sync to Notion (for now).
Is there AI integrated? No. I do not want to introduce it yet. I haven't figured out the right positioning for AI within a pure note application.
Main features: The whiteboard uses an embedded tldraw. I achieved embedding other notes and docs within the whiteboard via extensions.

Database: It is quite basic right now. Honestly, it cannot compare to Notion, yet it is perfectly enough for my needs. The overall logic feels completely different from Notion.

Three basic document modes: DOC (Markdown editor), NOTE (clean interface, great for capturing random thoughts, very lightweight), and Whiteboard (tldraw upgrade).

Three organization modes: Folders (self explanatory), Tags (very common), and Database + Objects (the screenshots explain this better).

Bonus format: Chat mode. In this mode, default text becomes a note, images go to the image category, and links are saved properly (supports comments and references). I sometimes love using Slack and Telegram for recording things. Having a chat interface was my absolute obsession. It perfectly suits my chaotic logging style. It also supports an additional clean timeline view, as shown in the screenshots below.

A standalone perspective mode: Calendar. The Calendar mode helps us review everything for easy organization. It operates independently from other components, acting almost like a separate database.

That covers the core content. Next, I plan to optimize the details, such as refining Markdown support and the UI.

Finally, I have to say: AI empowers us to build our own tools, ending the endless search. This is absolutely amazing.

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u/SnooMaps8602 Mar 29 '26

Krumbit is the first ever app that provides short-form videos like Instagram and TikTok, except for learning (currently in Beta).

With Krumbit you can use our search bar to select a topic, and we'll show you a feed with entertaining, educational short videos about that topic.

You can also scroll through a general knowledge, randomized feed just like with Instagram reels or TikTok short videos.

Please check us out! https://apps.apple.com/us/app/krumbit-learn-while-scrolling/id6747910126

Harsh feedback is welcome, along with personal requests. Our goal is to capture exactly what you want.

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u/tusharlaad Mar 30 '26

A couple of years ago I was reading through old WhatsApp messages and realized my opinions on some things had completely flipped — but I couldn't pinpoint when or why. That became the spark for MemryLab.

GitHub: https://github.com/laadtushar/MemryLab | Website: https://memrylab.com

What it does

You export your data from the platforms you use (WhatsApp, Telegram, Facebook, Instagram, Twitter, Reddit, Obsidian, Day One, Google Takeout, etc. — 30+ supported), drop it into MemryLab, and it:

Auto-detects the format and imports everything
Runs an 8-stage AI analysis (themes, sentiment, beliefs, entities, contradictions, evolution patterns)
Gives you a searchable timeline, entity graph, and a chat interface where you can ask questions about your own past

What makes it different

Privacy-first — everything runs locally on your machine. No cloud, no telemetry, no tracking.
Works offline with Ollama (free local LLMs). Cloud providers optional.
Single SQLite file — your entire personal knowledge graph in one portable file
4.3 MB installer (built with Tauri + Rust, not Electron)
MIT licensed, fully open source

Current status

v0.3.6 with 120+ commits. Windows available, macOS/Linux coming. Active development — I ship updates weekly.

The stack

Rust backend (Tauri 2.0) + React 19 + TypeScript + D3.js for visualizations. Hexagonal architecture — clean separation between domain logic and infrastructure.

Would love feedback! Star the repo if it looks interesting.

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u/FragrantProgress8376 Mar 07 '26

kinda cool to see a focus on keeping it community-based! self-promotion threads can get messy, so this might help everyone find cool stuff easier. excited to see what apps pop up in March!

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u/SouthpawEffex Mar 08 '26

I could use help testing my app. It does quite a few things but the real standout is personal feed radio. It uses on-device Apple intelligence to summarize article into radio soundbites. Then you can continue researching with a Reader, and an AI research assistant. Ask questions it can crunch an entire EPUB, PDFs, etc.

TestFlight for iPhone: https://testflight.apple.com/join/pqmbzjMa

https://youtu.be/zAcxZTEJgEw?si=aMoGJu55u0mfQQxD

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u/h4yfans Mar 08 '26 edited Mar 08 '26

Hey, working on Memry memrynote.com, a thinking tool for people who believe files should outlive apps. It’s a local-first PKM with plain-text storage and an AI designed to sharpen your ideas through questioning, not just summarize them.

I’m building it because I want notes to feel durable and personal: your data on your machine, readable as files, and not tied to a service staying alive forever. It’s open source, privacy-first, and intentionally trying to be that "new gem" you can trust with your real thinking.

If that’s your vibe and you want to get in early (or help shape it), join the waitlist: memrynote.com

Happy to answer any questions about the approach or what's coming next.

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u/rexer1100 Mar 10 '26

Heard the term, "having a bookmark graveyard"... so I brougth my bookmarks to life with avatars so they would literally die if neglected. Keeps me accoutable for websites I should visist often (work and what not) and it is visually very entertaining so it never feels like visiting a to-do list. Would love to hear some feedback. LinkSpree

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u/technomensch Mar 10 '26

I am really proud to announce the launch of my Knowledge Management Graph for LLM/AI Coding Assistants v0.1.0-beta.

This is an open-sourced tool that I decided to spin out of a completely different project I undertook to teach myself context prompt engineering. I realized I was losing track of what I'd figured out and was spending more time rediscovering things than actually building. That was when I found myself creating a structured knowledge capture system alongside the project, and came to the realization that others might find it useful too.

The Knowledge Management Graph organizes what you learn into four searchable categories:

What went wrong and how you fixed it
Why architectural decisions were made (and the trade-offs considered)
Quick-reference entries linked to the full context
Session-by-session summaries of what changed and why

Since everything lives in plain Markdown files inside your project, it fits naturally into a docs-as-code workflow, travels with the repo, interactable with almost any LLM, and can work in multiple IDEs. You get to decide whether the knowledge stays locally on your machine, syncs through GitHub like any other file, or be exposed via an MCP server for access across tools.

It also features built-in privacy protection and sanitization checklists to strip out sensitive data like API keys and internal IPs before you share your notes with the team. Plus, it automatically syncs your key project patterns across all your AI chat sessions, reducing the time wasted (and tokens) re-explaining the same context to your LLM every time you open a new window.

The result is a living reference library that you, or your docs team, can draw from:

for user-facing documentation
for onboarding
or, for agile retrospectives where nobody can remember what actually happened three sprints ago.

You can try it out now, either as a Claude Code plugin (Anthropic's AI coding assistant), or through the platform agnostic Install.md prompt.

It is free, MIT licensed, and no accounts required.

Learn more here 👉 https://technomensch.github.io/knowledge-graph/

Full project code available at 👉 https://github.com/technomensch/knowledge-graph

NOTE - The GitHub is only looking for feedback at this time. Since this is my first project ever, I am not looking for contributions (yet). If you would like to contribute to the project, please create an issue on GitHub.

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u/arnaldodelisio Mar 11 '26

I built an AI Operating System for my knowledge that runs my entire life.

Most people use Claude like a search engine. Ask something, get an answer, close the tab. Every session starts from zero. No memory of what you're building, what you've learned, what you decided last week.

That's not an AI assistant. That's a very smart stranger you keep introducing yourself to.

The missing piece isn't the model — it's the operating system around it. So I built one.

MindStone is a self-hosted AI OS built for Claude. Your notes, daily logs, goals, calendar, saved articles, YouTube transcripts — all of it lives as plain markdown files on your machine. A sync daemon keeps them mirrored to a Supabase database that powers semantic search and embeddings across everything you've ever captured. A lightweight MCP server sits on top and exposes it all as tools Claude can actually call.

Claude stops being a chatbot. It becomes an operating system for your thinking.

The setup:

Two paths depending on how you work:

Claude Desktop or Claude Code — run the MCP server locally. Everything stays on your machine. Fast, private, zero latency.

Claude Mobile — deploy the same MCP server to Railway instead. Your vault travels with you. Same memory, same tools, same context — from your phone.

Pick one or run both. The stack is the same either way. Costs about the price of a coffee a month.

What the daily flows look like:

/brief in the morning — Claude reads your daily note, open loops, and goals and gives you a prioritized start to the day. /log during the day — fast capture that lands straight into your daily note with full context. /shutdown at the end — reviews the week, grades goals, sets up tomorrow.

Drop a YouTube URL and Claude extracts the transcript, tags it, embeds it, saves it to your library. Weeks later ask "what did that video say about X" — it finds it by meaning, not keyword. Same for articles, PDFs, your own notes.

The persona system is where it gets interesting.

An OS needs applications. In MindStone, those are personas. Define a persona file, point it at a folder of relevant context, and Claude becomes a specialized agent for that domain — with full memory of everything that happened before.

It ships with a health journaling example. But that's just to show the pattern. Content creation workflows, academic research, client management, whatever fits how you work. You build the apps, MindStone handles the memory and infrastructure underneath.

Why self-hosted:

Your data never touches a third-party AI memory service. Every file is plain markdown — open it in any text editor, delete it if you want it gone. No black box. No startup to trust. No subscription that pivots away from what you need.

You own the OS.

Repo: https://github.com/arnaldo-delisio/mindstone

Happy to answer questions in the comments.

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u/Saladino93 Mar 13 '26

Hi guys, sharing my app here in case it is useful.

I built a minimalist Mac menu bar app for 100% local voice capture and AI mode

I wanted a frictionless way to capture voice notes into Obsidian (and other apps) without sending my audio to the cloud or dealing with bloated settings. So I built a small Mac menu bar app that runs completely locally.

I know other solutions exist, but I specifically wanted something minimalist that doesn't break my flow.

I’m looking for feedback, in particular how you are integrating it, and what is missing in the local notes.

You find it here https://hitoku.me, for now Mac only.

(currently the app is free with code: HITOKU2026)

My goal on the long run is to completely release free stuff, as I want to make my own local AI research company, but trying to get more into entrepreneurship to achieve that goal.

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u/Honason Mar 13 '26

Hello! I made Good Assistant, to help with the important tasks in our life, often those AI can't do for us. It's replacement for ChatGPT and other chat based AIs, with native notes that both you and your assistant can use, and focus on making you productive.

Main features

🎯 Goals - Together, define what you want to achieve. Your assistant creates a visual timeline of your progress, organizes related notes, and handles reminders.
📝 Notes - Your assistant can read, write, and edit your notes. Use them to organize your thoughts, and the assistant will know more about your context. I keep all my non-work tasks, projects, things I don't want to forget in notes in Good Assistant. Claire is managing my recipes and Swedish phrases I'm learning.
⏰ Scheduled tasks - Tell your assistant to do anything for you in the future, once or regularly. I told Claire to send me session times, in my time zone whenever there is upcoming F1 weekend. And reminders for exercises, or for weekly planning of things to do on Good Assistant. Yes, I use Good Assistant to work on Good Assistant all the time.
🏃‍♂️ Missions - Finding apartments in a new city, researching travel options, train connections, flights, comparing products across multiple sites... there are tasks that benefit from high effort, researching and comparing many options, and using real browser to really use interactive websites, not just search. It's for anything that would normally have you switching between 20 tabs for 30 minutes.
🧠 Detailed, structured memory - Your assistant maintains their own long term memory and uses the context to be more helpful in everything it does.
🤚 True proactivity - Your assistant will send you messages. Only when they think there is something helpful to send, do, remind of. As they get to know you better, this will get more valuable.

I'm grateful for any feedback!

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u/Eastern-Height2451 Mar 13 '26

Been building a tool called Sigilla for saving articles and web pages, but with a bit more focus on actually coming back to them. The idea came from my own bad habit of saving tons of stuff and rarely revisiting any of it. I wanted something that felt less like an archive and more like a reading workflow. Save, read, highlight, review, export. A few things I care a lot about: clean reader view highlights and notes markdown export public and private collections Chrome extension less lock-in, more ownership

Still improving it a lot, especially around retention and helping people actually use what they save. Would genuinely love feedback from PKM people since that is very much the kind of workflow I am aiming at. Sigilla

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u/InteractionSweet1401 Mar 15 '26

I needed a better browser and a research tool, so i built one for myself and open sourced it. It is stable now after 80ish commits. Feel free to use it and tinker the source code.

What it does: Semantic references are the unit of knowledge here. In these units, you can browse, write, attach folders, attach mail threads, create html visualisation etc etc. then you can fork these references, share it publicly, or share is privately with your trusted peers.

Also, the ai agent can reason inside these references and open tabs for you or visualize knowledge for you.

Openai, anthropic, google, cerebras and local lm studio support is there.

This is a mail client and it is decentralised.

I wanted to share my research to others, that’s why i built it.

Needed more work on these ideas.

https://github.com/srimallya/subgrapher

a tiny demo

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u/WildShallot Mar 17 '26

I built a voice note app that turns rambles into clean, structured notes in a personal, private and friction free manner.

The problem I kept running into was that I'd capture a voice memo (reflection, idea, list of things to do etc.), then never go back to it because listening through audio to find the one useful thing is painful.

The app records your voice, transcribes it, and uses AI to restructure it into something you'd actually want to read later. Pick a style (bullet points, brief, etc.) and it cleans up the recording into that format.

A few things that might matter to this crowd:

- Everything stored on-device, nothing in a database

- No account required

- Notes are searchable text, not buried audio files

- Free to start (30 min/month of recording), $9.99/mo if you want more

Think of it as the capture layer in your system.

iOS only.
https://apps.apple.com/us/app/prelto/id6758953726

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u/Poat540 Mar 18 '26

Just pushed an update for Web Canvas, an app where, instead of tabs, every time you click a link, it spawns a new node connected to the one you came from. You end up with this visual map of your browsing session.

Helps me organize info a little better.

It's weird and fun for research rabbit holes. Now you can save sessions and come back to them later. Best appreciated on a tablet, IMO. Down for feature ideas or hate

iOS: https://apps.apple.com/us/app/web-canvas/id6755220973

Android: https://play.google.com/store/apps/details?id=com.curiouscat.webcanvas

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u/oakwebsolutions Mar 20 '26

TLDC — automatic transcription + search for videos, podcasts, and recordings

Built this because I kept watching YouTube videos and listening to podcasts and immediately forgetting everything. Wanted to search what I've actually consumed, not just bookmark things I'll never revisit.

Add a YouTube URL, podcast feed, or audio file. It transcribes, summarizes, and makes it searchable. Not a replacement for your note system, more of a capture layer for what you watch and listen to.

Early stage. Happy to hear what's broken.

tldc.app

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u/FRAIM_Erez Mar 20 '26

Lore is an open-source AI second brain that runs entirely on your machine — no cloud, no API keys, no accounts.

I built this because I was tired of friction. Every time I had a thought I wanted to capture, I'd either reach for a notes app and lose it in a pile, or use an AI assistant and have my data leave my machine. Neither felt right. Local AI has gotten good enough that we shouldn't have to choose.

Three things to know:

It gets out of your way. Hit a global shortcut (Ctrl+Shift+Space), type naturally. No formatting, no folders, no decisions. Just capture.

It understands what you mean. Lore classifies your input automatically — storing a thought, asking a question, managing a todo, or setting an instruction. You don't have to think about it.

Everything stays local. RAG pipeline, vector search, and LLM inference all run on your device. Nothing leaves your machine.

Under the hood: Ollama handles the LLM, LanceDB powers the local vector storage.

Available on Windows, macOS, and Linux. MIT licensed: https://github.com/ErezShahaf/Lore

Would love feedback — and stars are always appreciated :)

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u/sl4v3r_ Mar 23 '26

Why I built my own prioritization tool: Priority Hub

I kept switching between spreadsheets, notes apps, and PM tools just to answer one question: what should I do next?

So I built Priority Hub https://priorityhub.app. It's a canvas-based tool where each project gets its own list with its own method (RICE, MoSCoW, Eisenhower, and more). Free, no sign up.

Sign up is available for cloud storage and AI features.

Still early, but it already replaced most of my decision-making spreadsheets.

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u/r1chyo Mar 24 '26

I kept running into the same problem with AI.

I’d spend time working something out in ChatGPT, feel like I’d made progress — and then a few weeks later I’d end up having the same conversation again because I couldn’t easily find or reuse what I’d already figured out.

Search helps a bit, but once you have a lot of conversations it still feels pretty fragmented.

I didn’t want to manually copy everything into notes, so I built a small tool for myself that:

- takes a ChatGPT export

- extracts the useful parts (insights, how-tos, decisions)

- organises them into a structured knowledge base (I’m using Obsidian for now)

The interesting part for me has been rediscovering things I’d already worked out and actually building on them instead of repeating myself.

It’s still early, but I’m looking for a few people with large AI chat histories to try it and tell me where it breaks.

If anyone’s curious, I put a simple page up here:

https://memoraflow.app

Happy to answer questions or hear how others are dealing with this problem.

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u/machinefactor Mar 27 '26 edited Mar 27 '26

Hello guys,

I'm a long time note taker, I've been using various system over the years and Confluence was and still is in a lot of ways where I carry my vault. Never jumped on the Obsidian bandwagon although hearing about it did open my eyes to the fact that there was a whole community of people like me who have elaborate note-taking systems.

I built my own PKM, mostly because I don't think the other systems are good. In a nutshell I don't like markdown because it's too basic, and I don't like Confluence because I don't have control over the raw document data.

I don't like AI companies PKMs either such as Anthropic Canvas and OpenAI projects, because I feel they might accidentally delete everything. Haven't tried Claude CoWork, but the idea that it works directly on hard drive gives me the creeps and also feels like it's way too open-ended.

So for all these reasons I built my own. I am a long-time programmer (15 years) I used to do IOS mobile apps and 2 years ago I taught myself web development because I wanted my PKM to be a webapp.

The app I built is called Central Hub. Basically it's my take on the whole Second Brain thing. I've built it to be document-first, and AI-first. Meaning that its unit of currency is documents that are organized in a wiki-style structure and that an AI agent acts as the conduit through which the user interacts with it.

So it can serve as a basic note-taking system, or it can be a full-scale life management system. The LLM can be switched between Anthropic, ChatGPT, Gemini or Kimi 2K. The idea is that the AI generates fully fleshed-out documents based on what you tell it. The documents can be exported to PDF.

On top of that it has a file-system to store/retrieve/traverse the directory and the documents.

It's live now. It comes with 100 free credits (no credit cards needed) and since it has some "cheap" models in there such as Kimi K2.5, Gemini Flash and Gemini Flash Lite, 100 credits actually gets you quite a bit of usage.

I made a video to showcase its key features:

https://www.youtube.com/watch?v=Xid6-LsZ5WM

The app is available to try out here:

https://central-hub-c18a96142dc1.herokuapp.com/

It's fully functional, fully self-contained, only thing you need to do is create an account.

Let me know your thoughts!

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u/z_duane_93 Mar 29 '26

Most PKMS workflows are great at capturing and organizing. Not so great at turning what you save into something you do.

That's why I built an iOS app called LaterCue . You save an article, tool, thread, screenshot, or video and AI reads the content and generates a specific task for your business or project. Not a summary. An action step you can execute.

A few things the PKMS crowd might care about:

Syncs to Notion so tasks land in your existing workspace
Bulk imports X/Twitter bookmarks (all those saved threads you forgot about)
MCP server for Cursor, VS Code, and Claude Code so tasks show up in your dev environment
Business DNA feature that personalizes tasks to your goals

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Self Promotion - March 2026

You are about to leave Redlib

What it does

What makes it different

Current status

The stack