--- title: "agentwatch vs kitaru" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/cyberark-agentwatch-vs-zenml-io-kitaru" tools: ["cyberark-agentwatch", "zenml-io-kitaru"] --- # agentwatch vs kitaru *GraphCanon updated Aug 9, 2026* ## Verdict Pick agentwatch if agentwatch is an AI observability framework for monitoring and optimizing cybersecurity and large language model operations with comprehensive insights into agent interactions; pick kitaru if kitaru focuses on recording, replaying, and enhancing the performance of AI agents in production environments using technology from ZenML. [agentwatch](https://www.cyberark.com) reports 122 GitHub stars, 11 forks, and 0 open issues, last pushed May 14, 2025. [kitaru](https://kitaru.ai) has 226 stars, 15 forks, and 49 open issues, last pushed Aug 3, 2026. Figures are from public GitHub metadata via [agentwatch's repository](https://github.com/cyberark/agentwatch) and [kitaru's repository](https://github.com/zenml-io/kitaru). | | [agentwatch](/tools/cyberark-agentwatch.md) | [kitaru](/tools/zenml-io-kitaru.md) | | --- | --- | --- | | Tagline | A powerful AI observability framework for monitoring and optimizing AI-driven applications. | Record, replay, and improve AI agents in production, built on ZenML | | Stars | 122 | 226 | | Forks | 11 | 15 | | Open issues | 0 | 49 | | Language | Python | Python | | Adopt for | Agentwatch is an AI observability framework for monitoring and optimizing cybersecurity and large language model operations with comprehensive insights into agent interactions. | Kitaru focuses on recording, replaying, and enhancing the performance of AI agents in production environments using technology from ZenML. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | AI Agents, Evaluation & Observability | AI Agents, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agentwatch](/tools/cyberark-agentwatch.md) | [kitaru](/tools/zenml-io-kitaru.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 451d | 0d | | Open issues (now) | 0 | 49 | | Full report | [trust report](/tools/cyberark-agentwatch/trust.md) | [trust report](/tools/zenml-io-kitaru/trust.md) | ## Shared compatibility - **Python**: [agentwatch](/tools/cyberark-agentwatch.md) - Python runtime; [kitaru](/tools/zenml-io-kitaru.md) - Python runtime ## Decision facts: agentwatch - **Adopt for:** Agentwatch is an AI observability framework for monitoring and optimizing cybersecurity and large language model operations with comprehensive insights into agent interactions. ## Decision facts: kitaru - **Adopt for:** Kitaru focuses on recording, replaying, and enhancing the performance of AI agents in production environments using technology from ZenML. ## Choose when ### Choose agentwatch if… - Tags unique to agentwatch: agent, agentic-ai, cybersecurity, large language models. - When your focus is on monitoring and analyzing AI-driven applications, especially those involving cybersecurity and large language models - Leaner open-issue backlog (0). ### Choose kitaru if… - Tags unique to kitaru: agent-framework, ai-agents, checkpoints, durable-execution. - - You need to ensure the continuous improvement of AI agents that are already deployed; Kitaru allows you to replay scenarios with different approaches to identify improvements. - More GitHub stars (226 vs 122) - visibility, not fit. ## When NOT to use agentwatch - For scenarios where the user interface aspect of observability is not preferred or required, as Agentwatch emphasizes an intuitive UI for insight into AI operations - When prioritizing support for non-Python environments since Agentwatch is specifically developed in Python and could limit usability in other ecosystems ## When NOT to use kitaru - - If your project is in the early stages of development without a clear need for replaying historical data or improving upon past behaviors; - - When working outside Python, as Kitaru does not currently offer support for other programming languages. ## Common questions ### What is the difference between agentwatch and kitaru? agentwatch: A powerful AI observability framework for monitoring and optimizing AI-driven applications.. kitaru: Record, replay, and improve AI agents in production, built on ZenML. See the comparison table for live GitHub stats and shared categories. ### When should I choose agentwatch over kitaru? Choose agentwatch over kitaru when Tags unique to agentwatch: agent, agentic-ai, cybersecurity, large language models; When your focus is on monitoring and analyzing AI-driven applications, especially those involving cybersecurity and large language models; Leaner open-issue backlog (0). ### When should I choose kitaru over agentwatch? Choose kitaru over agentwatch when Tags unique to kitaru: agent-framework, ai-agents, checkpoints, durable-execution; - You need to ensure the continuous improvement of AI agents that are already deployed; Kitaru allows you to replay scenarios with different approaches to identify improvements; More GitHub stars (226 vs 122) - visibility, not fit. ### When should I avoid agentwatch? For scenarios where the user interface aspect of observability is not preferred or required, as Agentwatch emphasizes an intuitive UI for insight into AI operations When prioritizing support for non-Python environments since Agentwatch is specifically developed in Python and could limit usability in other ecosystems ### When should I avoid kitaru? - If your project is in the early stages of development without a clear need for replaying historical data or improving upon past behaviors; - When working outside Python, as Kitaru does not currently offer support for other programming languages. ### Is agentwatch or kitaru more popular on GitHub? kitaru has more GitHub stars (226 vs 122). Stars measure visibility, not whether either tool fits your constraints. ### Are agentwatch and kitaru open source? Yes - both are open-source projects on GitHub (agentwatch: Apache-2.0, kitaru: Apache-2.0). ### Where can I find alternatives to agentwatch or kitaru? GraphCanon lists graph-backed alternatives at [agentwatch alternatives](/tools/cyberark-agentwatch/alternatives) and [kitaru alternatives](/tools/zenml-io-kitaru/alternatives) ([agentwatch markdown twin](/tools/cyberark-agentwatch/alternatives.md), [kitaru markdown twin](/tools/zenml-io-kitaru/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/cyberark-agentwatch-vs-zenml-io-kitaru.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agentwatch or kitaru? agentwatch: Dormant. kitaru: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for agentwatch and kitaru? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentwatch trust report](/tools/cyberark-agentwatch/trust); [kitaru trust report](/tools/zenml-io-kitaru/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=cyberark-agentwatch`](/api/graphcanon/graph?tool=cyberark-agentwatch) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_