PandaProbe
An open-source platform that watches your AI agents in production and can automatically catch and fix regressions before users notice them.
🔗 Visit PandaProbe
Description
When a company hands work over to an AI agent instead of a human, the scary part is not knowing when it quietly starts doing a worse job. PandaProbe is built for exactly that blind spot: it watches your AI agents the way a QA team would watch a human employee, catching mistakes and even patching some of them automatically.
PandaProbe is an open-source (Apache 2.0) agent engineering platform giving deep observability into AI agent applications: one-line instrumentation captures full agent trajectories, a research-grade evaluation layer scores agent behavior, and a 'Harness' self-healing layer detects and can automatically resolve reliability regressions in production on a custom schedule. It plugs into common agent frameworks (LangGraph, CrewAI, Claude Agent SDK) and offers both a free self-hosted tier and paid cloud plans.
💬 Our review
The short version: PandaProbe is for teams past the prototype stage who need real QA on agents that make decisions without a human double-checking every output.
With 712 GitHub stars and a clear tiered pricing ladder (free Hobby, $29 Pro, $299 Startup, enterprise custom), it looks more mature and better resourced than a scrappy alternative like Tracea — the self-healing 'Harness' layer in particular is a genuinely distinct feature most competitors don't offer. The free Hobby tier is a fair way to try it before paying, and the Apache 2.0 license means you're not locked into their cloud if you outgrow it. The catch is that 'self-healing' regressions is a bold claim to take on faith — verify with your own eval suite before trusting it unsupervised on anything customer-facing, and the $299/mo Startup tier is a real cost jump from $29 Pro that smaller teams should budget for.
💰 Pricing
📊 Global score
🤖 AI-enriched data
Hobby free, Pro $29/mo, Startup $299/mo, Enterprise custom; also usable fully self-hosted under Apache 2.0
Pros
712 GitHub stars — more traction/maturity than most agent-observability newcomers
One-line instrumentation, integrates with LangGraph/CrewAI/Claude Agent SDK
'Harness' self-healing layer is a genuinely distinct feature
Apache 2.0 license, usable free and self-hosted
Cons
Jump from Pro ($29) to Startup ($299) is steep for growing teams
'Self-healing' claims need independent verification before unsupervised use
No public launch date disclosed
Enterprise pricing not transparent (custom quote only)