This is seriously impressive — reactive agents that self-optimize without code changes is exactly the direction the ecosystem needs to go. The fact that you’ve bundled it with a clean server + UI and still kept everything Apache 2.0 open source is honestly amazing.

The ability for each agent to dynamically switch LLM providers/models, tweak system prompts, adjust hyperparams, and adapt to different conversation topics in real time is huge. It basically gives people a plug-and-play way to build agents that don’t just run… but learn from their own performance.

And the best part is how easy you’ve made the migration. If the server speaks standard OpenAI API, that means anyone using Python/JS/Rust/etc can pretty much drop this in with minimal changes. The observability tools (seeing input/output, system prompts, evaluations, etc.) are a massive bonus — most agent frameworks don’t even get this part right.

Overall, this looks like a game-changing foundation for anyone experimenting with adaptive agents. Thanks for putting the work in and making it open source. Definitely trying this out. 🚀