--- title: "agent-prism vs kitaru" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/evilmartians-agent-prism-vs-zenml-io-kitaru" tools: ["evilmartians-agent-prism", "zenml-io-kitaru"] --- # agent-prism vs kitaru *GraphCanon updated Aug 9, 2026* ## Verdict Pick agent-prism if agent-prism is a TypeScript-based React component library that facilitates trace visualization from AI agents offering comprehensive monitoring and evaluation capabilities; pick kitaru if kitaru focuses on recording, replaying, and enhancing the performance of AI agents in production environments using technology from ZenML. [agent-prism](https://storybook.agent-prism.evilmartians.io/?utm_source=github&utm_medium=social) reports 380 GitHub stars, 23 forks, and 15 open issues, last pushed Jul 27, 2026. [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 [agent-prism's repository](https://github.com/evilmartians/agent-prism) and [kitaru's repository](https://github.com/zenml-io/kitaru). | | [agent-prism](/tools/evilmartians-agent-prism.md) | [kitaru](/tools/zenml-io-kitaru.md) | | --- | --- | --- | | Tagline | React components for visualizing traces from AI agents | Record, replay, and improve AI agents in production, built on ZenML | | Stars | 380 | 226 | | Forks | 23 | 15 | | Open issues | 15 | 49 | | Language | TypeScript | Python | | Adopt for | Agent-prism is a TypeScript-based React component library that facilitates trace visualization from AI agents offering comprehensive monitoring and evaluation capabilities. | Kitaru focuses on recording, replaying, and enhancing the performance of AI agents in production environments using technology from ZenML. | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | AI Agents, Developer Tools, Evaluation & Observability | AI Agents, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agent-prism](/tools/evilmartians-agent-prism.md) | [kitaru](/tools/zenml-io-kitaru.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 12d | 0d | | Open issues (now) | 15 | 49 | | Full report | [trust report](/tools/evilmartians-agent-prism/trust.md) | [trust report](/tools/zenml-io-kitaru/trust.md) | ## Decision facts: agent-prism - **Adopt for:** Agent-prism is a TypeScript-based React component library that facilitates trace visualization from AI agents offering comprehensive monitoring and evaluation capabilities. ## 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 agent-prism if… - agent-prism is primarily TypeScript; kitaru is Python. - License: agent-prism is MIT, kitaru is Apache-2.0. - Tags unique to agent-prism: ai-monitoring, component-library, distributed-tracing, generative-ai. - Also covers Developer Tools. - If your project uses TypeScript and React for front-end development, and you need to monitor AI agent behavior effectively without reinventing the UI wheel. ### Choose kitaru if… - kitaru is primarily Python; agent-prism is TypeScript. - License: kitaru is Apache-2.0, agent-prism is MIT. - Tags unique to kitaru: agent-framework, checkpoints, durable-execution, llm. - - 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. ## When NOT to use agent-prism - Consider other options if your project does not use TypeScript since adapting libraries specifically tailored for TypeScript might introduce unnecessary complexity. - If real-time dynamic updates are critical and the current data handling mechanisms of agent-prism do not meet these requirements, look elsewhere. ## 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 agent-prism and kitaru? agent-prism: React components for visualizing traces from AI agents. 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 agent-prism over kitaru? Choose agent-prism over kitaru when agent-prism is primarily TypeScript; kitaru is Python; License: agent-prism is MIT, kitaru is Apache-2.0; Tags unique to agent-prism: ai-monitoring, component-library, distributed-tracing, generative-ai; Also covers Developer Tools; If your project uses TypeScript and React for front-end development, and you need to monitor AI agent behavior effectively without reinventing the UI wheel. ### When should I choose kitaru over agent-prism? Choose kitaru over agent-prism when kitaru is primarily Python; agent-prism is TypeScript; License: kitaru is Apache-2.0, agent-prism is MIT; Tags unique to kitaru: agent-framework, checkpoints, durable-execution, llm; - 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. ### When should I avoid agent-prism? Consider other options if your project does not use TypeScript since adapting libraries specifically tailored for TypeScript might introduce unnecessary complexity. If real-time dynamic updates are critical and the current data handling mechanisms of agent-prism do not meet these requirements, look elsewhere. ### 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 agent-prism or kitaru more popular on GitHub? agent-prism has more GitHub stars (380 vs 226). Stars measure visibility, not whether either tool fits your constraints. ### Are agent-prism and kitaru open source? Yes - both are open-source projects on GitHub (agent-prism: MIT, kitaru: Apache-2.0). ### Where can I find alternatives to agent-prism or kitaru? GraphCanon lists graph-backed alternatives at [agent-prism alternatives](/tools/evilmartians-agent-prism/alternatives) and [kitaru alternatives](/tools/zenml-io-kitaru/alternatives) ([agent-prism markdown twin](/tools/evilmartians-agent-prism/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/evilmartians-agent-prism-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, agent-prism or kitaru? agent-prism: Active. 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 agent-prism and kitaru? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agent-prism trust report](/tools/evilmartians-agent-prism/trust); [kitaru trust report](/tools/zenml-io-kitaru/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=evilmartians-agent-prism`](/api/graphcanon/graph?tool=evilmartians-agent-prism) - 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/_