AdelAden

The shift from 'black box' logs to a visual timeline is a huge step toward production reliability. For the decision tracing specifically—how are you handling the data serialization between the local runtime and the Next.js dashboard to keep latency low? I am curious if we can eventually use those 'Self-Healing' event logs to automatically tune our agent guardrails

Most agent frameworks optimize for demos.

We wanted to explore what agents look like when you design for production instead: – memory pressure – cost ceilings – failure recovery – observability

So we built an open-source framework where agents can: • refactor their own logic • revise plans mid-execution • persist and compress memory • recover from tool and runtime failures

This is not a wrapper around prompts — it’s infrastructure for long-running, self-correcting agent systems.

We’re building this in public and actively using GitHub as our distribution channel. Feedback from people deploying agents in the wild is especially welcome.

If it’s useful, starring the repo helps us decide what to build next.