dvt an hour ago
├── MEMORY.md # Long-term knowledge (auto-loaded each session)
├── HEARTBEAT.md # Autonomous task queue
├── SOUL.md # Personality and behavioral guidance
Say what you will, but AI really does feel like living in the future. As far as the project is concerned, pretty neat, but I'm not really sure about calling it "local-first" as it's still reliant on an `ANTHROPIC_API_KEY`.I do think that local-first will end up being the future long-term though. I built something similar last year (unreleased) also in Rust, but it was also running the model locally (you can see how slow/fast it is here[1], keeping in mind I have a 3080Ti and was running Mistral-Instruct).
I need to re-visit this project and release it, but building in the context of the OS is pretty mindblowing, so kudos to you. I think that the paradigm of how we interact with our devices will fundamentally shift in the next 5-10 years.
applesauce004 27 minutes ago
Does this mean the inference is remote and only context is local?
dpweb 10 minutes ago
Uses Mlx for local llm on apple silicon. Performance has been pretty good for a basic spec M4 mini.
Nor install the little apps that I don't know what they're doing and reading my chat history and mac system folders.
What I did was create a shortcut on my iphone to write imessages to an iCloud file, which syncs to my mac mini (quick) - and the script loop on the mini to process my messages. It works.
Wonder if others have ideas so I can iMessage the bot, im in iMessage and don't really want to use another app.
ramon156 an hour ago
Your docs and this post is all written by an LLM, which doesn't reflect much effort.
theParadox42 an hour ago
dalemhurley 16 minutes ago
AndrewKemendo 33 minutes ago
I assume I could just adjust the toml to point to deep seek API locally hosted right?