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AI Observability🔴Developer
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PandaProbe

Open-source AI agent engineering platform for tracing, evaluating, and debugging agent runs across any framework and LLM provider.

Starting atFree
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In Plain English

Open-source AI agent engineering platform for tracing, evaluating, and debugging agent runs across any framework and LLM provider.

OverviewFeaturesPricingUse CasesFAQ

Overview

PandaProbe is an open-source agent engineering platform licensed under Apache 2.0 that provides traces, evaluations, metrics, and live monitoring to debug and improve AI agents. It covers the full agent development lifecycle — from first prototype run to continuous production improvement.

The platform's core strength is its simplicity: a single instrument() call traces an entire agent run automatically, capturing every span including chains, agents, LLM calls, tool invocations, and more. It tracks model types, parameters, token usage, time-to-first-token, and key metadata across runs, giving developers complete visibility into how their agents behave.

PandaProbe integrates with all major agent frameworks including Google ADK, LangChain, CrewAI, AutoGen, and others through its Python SDK. It works with any LLM provider — OpenAI, Anthropic, Google, Mistral, and local models — making it framework-agnostic and provider-agnostic. This flexibility means teams don't need to change their existing stack to get observability.

Key capabilities include distributed tracing for complex multi-agent workflows, evaluation pipelines for measuring agent quality over time, real-time monitoring dashboards for production agents, and detailed cost tracking across different models and providers. The platform helps teams answer critical questions: Why did this agent fail? Which tool calls are slowest? How much is each agent run costing?

Being self-hostable with no vendor lock-in, PandaProbe appeals to teams that need observability without sending sensitive data to third-party services. The Hobby plan is free with no credit card required, with paid tiers available as teams scale. PandaProbe launched on Product Hunt in May 2026 and was recognized as a top product in the DevTools category.

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Key Features

Feature information is available on the official website.

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Pricing Plans

Hobby

Free

  • ✓No credit card required
  • ✓Basic tracing
  • ✓Community support
  • ✓Cloud hosted

Pro

Contact for pricing

  • ✓Advanced evaluations
  • ✓Team collaboration
  • ✓Extended data retention
  • ✓Priority support

Self-Hosted

Free (open-source)

  • ✓Full control over data
  • ✓No vendor lock-in
  • ✓Apache 2.0 license
  • ✓Community support
See Full Pricing →Free vs Paid →Is it worth it? →

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Best Use Cases

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Debugging complex multi-agent workflows

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Monitoring production AI agents

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Tracking LLM costs across providers

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Evaluating agent quality over time

Pros & Cons

✓ Pros

  • ✓Single instrument() call is genuinely simpler than manual span instrumentation in competitors
  • ✓Framework-agnostic design means no lock-in to a specific agent framework
  • ✓Free Hobby tier with no credit card makes evaluation frictionless
  • ✓Self-hostable option is critical for teams with sensitive data requirements
  • ✓Cost tracking across providers helps optimize model selection
  • ✓Active Product Hunt launch and DevTools recognition signal momentum

✗ Cons

  • ✗Very new (May 2026 launch) — limited production track record and community size
  • ✗Pro pricing is contact-based, making cost comparison difficult
  • ✗Smaller ecosystem of integrations and plugins compared to Langfuse or LangSmith
  • ✗Documentation and tutorials are still maturing
  • ✗Missing some advanced features like prompt management that competitors offer
  • ✗Single-person or small team behind the project — sustainability risk

Frequently Asked Questions

How much does PandaProbe cost?+

PandaProbe pricing starts at Free. They offer 3 pricing tiers including a free option.
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Quick Info

Category

AI Observability

Website

pandaprobe.com
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