Thanks for taking a look!

Agreed regarding the privacy/security hesitations. Running the models locally with ollama is an option, but of course there's the hardware requirements and limitations of open source models to contend with. ultimately it's a balance between privacy and ease of use, and I'm not sure that there's a good one-size-fits-all for that balance.

is your idea of granular control (roughly) a group of agents in separate containers writing back to their own designated store each sufficient, or more control than that?

The honest answer is it doesn't help a ton, at least not in its current form. It's fun to look at, and occasionally I'll see some interesting semantic connections between articles - but by far the more useful tools here are the wiki generation, auto-tagging, and chat/MCP features. The graph view definitely needs more love - if anyone has thoughts on how to make it more useful, I'd love to hear them.

Thanks, much appreciated!

Yes, regarding ingestion methods the following are available:

- RSS feed

- Web clipper browser extension (working on publishing the extension to the chrome store)

- Import a folder of markdown files (desktop app only)

- Manually ingest a one-off URL

- Manually create an atom

The iOS app is a more recent addition, also not yet published to the app store, but the idea is to add a share target so that during mobile browsing you can quickly add articles to your KB.

PDF support would be great, and I'd love to hear more ideas about ingestion methods if anyone has them!

Thanks! The project is still early stages, haven't had a chance to get the app signing set up - right now the easiest way to get started is using the web interface via docker compose.

System Settings > Privacy & Security, scroll down to the "Security" section, and click Open Anyway

For sure. The idea here (or at least how I've been using it) is to use Atomic as catchall place to put personal notes, interesting articles, research ideas .. pretty much anything, and Atomic will handle the categorization and knowledge synthesis. For example, I have a knowledge base that uses RSS to sync top Hacker News articles and I'll occasionally generate new wiki-style articles which summarize and synthesize the articles based on top-level categories (AI, hardware, philosophy, you name it).