You beat me to it by a day! But well done Luca. The tool looks excellent and I'm trying it out now.
I'm building Sig <https://github.com/adamjramirez/sig-releases> and the architecture overlap is obvious: macOS, plain markdown, git-versioned, designed as context for AI agents.
The difference is where in the workflow we start. Tolaria seems to excel at organizing knowledge that already exists. Sig is trying to solve what happens before that - how to get the knowledge out of your head and into files in the first place. Most of what actually determines the quality of your AI output was never written down: the decision made in the last five minutes of a meeting, the verbal commitment with no follow-up, your actual read on what a conversation meant (not the surface version).
Sig's capture is two layers: 1) factual record first, 2) your personal interpretation on top. Both stored as markdown on your machine. When you're ready to share to a team knowledge base/open brain, it's an explicit decision to do so and opt-in — private by default, team-readable only when you choose.
if "git versioned" means the .md files themselves, I'm sold. I am actually processing files using a git based workflow in order to tell claude what to look at.
Yes, the .md's are in their own repo, locally. The entire UI is a layer on top of that repo. The UI has some underlying mechanisms that abstract the git operations away from the user, but that doesn't stop a power user from jumping in the shell and accessing the repo directly.
The "magic" starts when Sig contributes to another, remote repo - a central knowledge base that all teammates' local Sig can pull from, and contribute toward.
the distinction you're drawing is real, totally agree that tolaria feels like a library, sig feels like a field recorder. both necessary, just different moments in the workflow.
not gonna lie - wow the 10k notes over 6 years thing is what got me! most knowledge base tools fall apart at that scale because the organizing system becomes the job. wondering do you ever just let something be unstructured, or does everything have to be tagged in?
Obsidian and these newer tools share markdown + local files, but they're aimed at different assumptions about who reads and edits the vault. Obsidian's default is "human reads and curates; plugins optionally enhance." The AI-first cohort (Tolaria, Sig in the sibling comment, and several others) assumes the AI reads and writes as a first-class agent, which makes design choices like how the app reacts to files changing underneath it (cf. the Zettlr comment downthread) a core concern rather than an edge case.
Worth watching how each of these tools positions the AI: as a UX copilot inside the editor, or as an autonomous agent with file-system access via local CLI/MCP.
It would be nice if you could “see” the AI in your vault making changes. Almost like a Google doc collab session. Even if you weren’t directly interacting with the agent, and it was making change thru a CLI/MCP, its presence would be highlighted in the frontend. And then it appears as its own contributor in the git history.
And I was going to say Mac native as well, but uses Tauri. I’d love some app with the polish of Bear Notes but that just edited raw Markdown files. Ideally Obsidian with the Notebook Navigator plugin (strongly inspired by Bear Notes perhaps?) and (checks list) this very specific list of plugins that I need and should be good for everyone else thanks.
I run a newsletter too, so this is cool to see! Not sure if I need it yet (my "knowledge base" is still pretty small), but I'll definitely keep it in mind for the future.
That’s awesome! I’m a huge fan of projects like that. I recently launched ckourse.com (open-source) to help manage downloaded courses. Combining tolaria and Ckourse will give a smooth learning experience. Thanks for the tool.
On a tangential note, do you have any recommendations for course platforms that offer paid courses with videos being 100% without DRM?
I was severely disappointed late last year when I revisited one platform where I had previously dropped quite a bit of money in the past to buy access to many courses and I now wanted to finally download them for offline watching only to find that in each and every course I had bought access to on the platform it is only the first couple of videos that are without DRM and then all of the remaining videos in each of the courses use Widevine DRM.
I even investigated a bit whether Widewine DRM is possible to decrypt but it seems to be very difficult, requiring knowledge and access to things that I doubt I would be able to figure out.
I would rather in the future spend money on courses that are not DRM protected in the first place, than to give any more money to any learning platforms where they use DRM on the videos.
Topics of interest include:
- Advanced software development
- Distributed systems
- PostgreSQL database internals
- ZFS file system internals
- Debugging
- Reverse engineering
- 3d modelling in Blender and rendering
- Vulkan graphics programming
- Game development with Godot
- Piano playing techniques
- Electronic music production with Ableton Live
- Mixing and mastering tracks with Ableton Live + any third party VSTs necessary
- Drawing and painting digitally
- DJing, turntablism and scratching on digital DJ controllers
You're right. We should absolutely only rely on "Ask sales for price" closed-source software from megacorps, that get worse on every release, and get sunset anyway when the funding runs out.
I'm building Sig <https://github.com/adamjramirez/sig-releases> and the architecture overlap is obvious: macOS, plain markdown, git-versioned, designed as context for AI agents.
The difference is where in the workflow we start. Tolaria seems to excel at organizing knowledge that already exists. Sig is trying to solve what happens before that - how to get the knowledge out of your head and into files in the first place. Most of what actually determines the quality of your AI output was never written down: the decision made in the last five minutes of a meeting, the verbal commitment with no follow-up, your actual read on what a conversation meant (not the surface version).
Sig's capture is two layers: 1) factual record first, 2) your personal interpretation on top. Both stored as markdown on your machine. When you're ready to share to a team knowledge base/open brain, it's an explicit decision to do so and opt-in — private by default, team-readable only when you choose.
I'll definitely give this a spin.
The "magic" starts when Sig contributes to another, remote repo - a central knowledge base that all teammates' local Sig can pull from, and contribute toward.
We kind of have used the exact philosophy in https://voiden.md/ - offline-first, file based and support for git.
This is exactly the format agents will use pretty well.
We have done this for APIs.
We are open source too. Take a look here : https://github.com/VoidenHQ/voiden
[1]: https://octarine.app
This is clean and love the git-backed approach. Would love to see a dark mode too!
Worth watching how each of these tools positions the AI: as a UX copilot inside the editor, or as an autonomous agent with file-system access via local CLI/MCP.
It's so good for viewing all markdown in a repo, but dies all too often.
Better than the one I was planning to build for myself.
Love the UI. Love the fact that the app was made with Tauri.
Nice work, will share!
I was severely disappointed late last year when I revisited one platform where I had previously dropped quite a bit of money in the past to buy access to many courses and I now wanted to finally download them for offline watching only to find that in each and every course I had bought access to on the platform it is only the first couple of videos that are without DRM and then all of the remaining videos in each of the courses use Widevine DRM.
I even investigated a bit whether Widewine DRM is possible to decrypt but it seems to be very difficult, requiring knowledge and access to things that I doubt I would be able to figure out.
I would rather in the future spend money on courses that are not DRM protected in the first place, than to give any more money to any learning platforms where they use DRM on the videos.
Topics of interest include:
- Advanced software development
- Distributed systems
- PostgreSQL database internals
- ZFS file system internals
- Debugging
- Reverse engineering
- 3d modelling in Blender and rendering
- Vulkan graphics programming
- Game development with Godot
- Piano playing techniques
- Electronic music production with Ableton Live
- Mixing and mastering tracks with Ableton Live + any third party VSTs necessary
- Drawing and painting digitally
- DJing, turntablism and scratching on digital DJ controllers
Boo. Boooooooooo. Thanks but no thanks.
Max lifespan 2 years
If you want something to stick around: you have to use and pay for it.
https://scryfall.com/card/plst/INV-156/obliterate
https://news.ycombinator.com/item?id=9224