Kitaru
by Community
Open-source platform layer for AI agents in production
OSS
Kitaru
Added 1 June 2026
Overview
Kitaru is an open-source platform layer for monitoring and debugging AI agents in production. It provides observability into agent behavior by capturing traces, logs, and metrics from Python-based agent systems.
Best for
Best for
Developers building custom AI agents who need open-source observability without a commercial platform
Use cases
- Debugging unexpected agent behavior in production
- Monitoring agent performance and latency
- Tracing multi-step agent workflows
Notes
Kitaru is an open-source platform layer for monitoring and debugging AI agents in production. It provides observability into agent behavior by capturing traces, logs, and metrics from Python-based agent systems.
180 stars on GitHub. Last updated 2026-06-01. Licensed Apache-2.0.
Use cases
- Debugging unexpected agent behavior in production
- Monitoring agent performance and latency
- Tracing multi-step agent workflows
Pros
- Open-source with no vendor lock-in
- Lightweight Python integration
- Provides structured observability for agent systems
Cons
- Small community with only 180 stars
- Limited documentation and examples
- Requires manual instrumentation in agent code
Indexed from awesome-llmops and enriched against its public facts.
Pros
- Open-source with no vendor lock-in
- Lightweight Python integration
- Provides structured observability for agent systems
Cons
- Small community with only 180 stars
- Limited documentation and examples
- Requires manual instrumentation in agent code
Pairs with
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LangChain
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The agent engineering platform.
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AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.