Howdy Product Hunt! 👋 Launching nowadays as a part of the @gustaf x @Y Combinator builder problem.
I am Darshan, the maker of @Tracea.
I constructed this as a result of I stored working AI agent classes that might fail silently – no hint of what broke, no price visibility, no solution to debug after the reality. I open-sourced an early model known as @Observagent and 300 builders discovered it with 0 advertising. That informed me the issue was once actual.
@Tracea is the production-grade model:
🔍 Complete tournament timeline: each and every instrument name, LLM reaction, price and latency spike so as
🧠 Automated RCA: perceive precisely why an agent failed
🚨 Detection + alerting: catch price spikes, loops, and silent mistakes prior to they harm
💡 Corporate Mind: classes synthesized into crew wisdom so brokers get started smarter each and every run
🔒 Self-hosted: one Docker command, not anything leaves your community
Works with each and every framework out of the field. No SDK lock-in, no integration paintings.
Would like to listen to how you are these days dealing with visibility into your agent runs. Glad to reply to anything else!
