> For the complete documentation index, see [llms.txt](https://docs.zenml.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.zenml.io/kitaru/getting-started.md).

# Getting Started

- [Welcome to Kitaru](https://docs.zenml.io/kitaru/getting-started/readme.md): Replay-based evals for AI agents, in Python and TypeScript. Test your next change against what your agent already did in production.
- [Installation](https://docs.zenml.io/kitaru/getting-started/installation.md): Install Kitaru with one command, start the local server, and verify. Other install paths for project environments, TypeScript, and team servers.
- [Deploy Kitaru](https://docs.zenml.io/kitaru/getting-started/deploy.md): Self-host Kitaru for your team: one server, your Postgres, workers in the environments where your agents live.
- [Docker](https://docs.zenml.io/kitaru/getting-started/deploy/docker.md): Run the Kitaru server with Docker, using Compose for one host or the server container against your own Postgres.
- [Helm](https://docs.zenml.io/kitaru/getting-started/deploy/helm.md): Deploy the Kitaru server on Kubernetes with the first-party Helm chart, covering external Postgres, automatic migrations, ingress, and TLS.
- [Set up your coding agent](https://docs.zenml.io/kitaru/getting-started/setup.md): Install the MCP server and agent skills, then drive the whole Kitaru loop from Claude Code, Codex, or Cursor.
- [Quickstart](https://docs.zenml.io/kitaru/getting-started/quickstart.md): From an agent in production to your first replay-backed decision, driven by your coding assistant: every step is a prompt first, a command second.


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# Agent Instructions
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