PandaProbe
open source agent engineering platform
Visit website →About
PandaProbe is an open-source platform for engineering and operating AI agents. It provides deep observability into agent applications: tracing each run step by step, evaluating output quality against test sets, monitoring behaviour in production, and debugging where an agent went wrong.
Because agents make chains of decisions and tool calls, failures are hard to reason about from logs alone; PandaProbe surfaces the full trace and the evaluation history so problems can be found and fixed systematically.
It is aimed at developers and teams building agent products who need the same rigour around testing and monitoring that they expect for other production software, with the option to self-host since it is open source.
AI-assisted draft, human-reviewed before publishing — see how we choose & review tools.
Why we picked it
PandaProbe made the list for step-by-step tracing of a run, not just a pass/fail result — because an agent's failure is usually buried somewhere in a chain of tool calls, seeing exactly where it went wrong is worth naming as the actual debugging value here.
Related tools
- 1 Tiden Verifies coding agents built what you asked for — specs as code Trial
- 2 GitGlow Local Git workbench with smart review for your changes and agent edits Freemium
- 3 GitHub Copilot AI coding assistant inside your editor, with a free tier Freemium
- 4 Together Link Run frontier open models in the coding harness you already use Paid
- 5 Octri Turns OpenAPI specs into docs, SDKs in 10 languages, and MCP server Freemium
- 6 FastRouter.ai One OpenAI-compatible API to route across 200+ LLMs with smart failover Freemium