Hi everyone! I built Agent-Devtools — a lightweight Python project to simplify debugging and...
Toolkit Python open-source per debuggare AI agents: memory tracking, behavior diffing, deterministic replay e context provenance su SQLite + FastAPI. Local-first con zero API keys + integrazioni LangChain/Groq; elimina l'opacità di agent moderni e accelera troubleshooting senza friction.
Hi everyone!
I built Agent-Devtools — a lightweight Python project to simplify debugging and tracking AI agents without the bloat.
Causal Debugging: Track memory influence, retrieval winners, injected context, and tool calls.
Behavior Diffing: Compare a "good" vs. "bad" run to pinpoint the exact root cause of divergence.
Deterministic Replay: Re-play recorded events offline to verify memory & retrieval consistency.
I’ve been building an open-source project called TraceMotive. It started from a problem I kept...
If you've ever deployed an AI agent that worked perfectly in testing and became unreliable in...
I run several AI coding agents at once and never really knew what they were doing — what it cost,...
What I built Atlarix — a ~400MB AI agent workstation that sits beside your IDE (VS Code,...
A few days ago I had a small panic moment that I think a lot of developers juggling multiple AI...
Agent decision quality decays quietly across steps and model updates. Build baselines, online sampling, and drift alarms that…
