Because, the system prompt and memory just being a bunch of markdown files is very very smart. At any time you can go see why the agent is acting a certain way, and change it, with nothing but a text editor. Heartbeats are also a genuinely solid way to handle proactivity.
Yet the ecosystem that spawned around it is either chasing absolute minimalism or endless feature expansions. Meanwhile the communities around these tools are constantly trying to figure out how to get their agent to remember anything.
I didn’t find anyone else really trying to solve that problem so I decided to take a crack at it. The idea for "Observational Memory" came from this post from Mastra https://mastra.ai/blog/observational-memory timestamped observations that get continuously compressed. I added episodes and projects on top of it as a way to give the agent an index of what it knows instead of having to search blindly.
Most everything else is a ‘me too!’ implementation with my own spin/improvements. I’m really proud of how it’s turned out so far and wanted to share. Open to contributions if it sparks your interest!
Also, it's Rust btw ;) (Not for any real reason, I just fucking hate python/typescript)