PandaProbe Releases Self-Healing Harness for AI Agents
Key point
PandaProbe, an open-source platform that automatically diagnoses AI agent failures and recovers them using validated rules, has been released.
Details
PandaProbe, developed by Chirpz AI, is an open-source platform that tracks, evaluates, and monitors recurring failures during AI agent operations. Its core feature, the Self-Healing Harness, evaluates traces at the end of each turn to detect quality degradation points, after which a recovery agent diagnoses these issues and generates candidate operational rules.
Generated rules are not applied immediately; they must pass validation through Replay or actual execution to be promoted to formal rules. Validated rules are not directly inserted into the system prompt; instead, they are designed to be queried by the agent via read-only tools when needed, preventing context window waste.
Self-hosting is deployable with 3 command lines using Docker and consists of a Next.js dashboard, FastAPI server, PostgreSQL, and Redis. It supports automatic integration with major LLM providers and agent frameworks such as LangChain, LangGraph, and CrewAI. Released under the Apache-2.0 license, it permits commercial use.
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