PandaProbe is an open-source agent engineering platform developed by Chirpz AI. Chirpz AI operates as an applied AI lab that builds products and publishes research in agent engineering, with the two activities informing each other. The company focuses on the challenges of moving AI agents from prototypes to reliable production systems.
AI agents represent a new paradigm of software that differs from both traditional applications and standalone large language models. They fail in unexpected ways at unexpected times and require specialized tooling. PandaProbe addresses this by providing traces, evals, and monitoring capabilities for debugging, evaluating, and improving AI agents in production. Every feature is driven by research and grounded in science. Observability is treated as a first-class concern rather than an afterthought. The platform was made open source from its initial release because transparency forms its foundation.
Chirpz AI created PandaProbe to close the gap between prototype and production. Development teams use it to ship agents with greater confidence. The company measures success by whether agents built on its tools fail less often and deliver more value. Founder Sina Tayebati leads the effort, bringing a background in computer engineering with specialization in uncertainty and robustness.
PandaProbe sits in PulseGate's LLM eval & observability category. Debugging, evaluating, and monitoring unreliable AI agents in production environments. It is built as an open-source project for AI developers and engineers. PandaProbe is open source under the Apache-2.0 license. It runs on the web, and it can be self-hosted.
Behind PandaProbe is Chirpz AI, and the product first shipped in 2025. Development happens publicly on GitHub with 712 stars and 237 commits in the last 90 days. Key capabilities include Agent Tracing, evaluations, and monitoring.
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