by zenml-io · MCP Server · ★ 198
The runtime layer underneath your agent stack. Kitaru (来る, "to arrive") is a self-hosted, framework-agnostic runtime for autonomous agents — underneath the harness your team already picked. You keep your agent SDK, your prompts, your tools, your model. Kitaru adds durable execution: checkpoints, replay, resume, wait(), versioned deployments, and isolated runtimes, running on your own infrastructure. Docs · Quick Start · Examples · Getting Started Guide · Roadmap · Community <img src="assets/dashboard.png" alt="Kitaru Dashboa
| Stars | 198 |
| Forks | 14 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 65.0823036936784/100 |
| Open Issues | 28 |
| Last Updated | 2026-07-08 |
| Created | 2026-03-05 |
| Platforms | mcp, python |
| Est. Tokens | ~15k |
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kitaru is Record, replay, and improve AI agents in production, built on ZenML. It is categorized as a MCP Server with 198 GitHub stars.
kitaru is primarily written in Python. It covers topics such as agent-framework, ai-agents, checkpoints.
You can find installation instructions and usage details in the kitaru GitHub repository at github.com/zenml-io/kitaru. The project has 198 stars and 14 forks, indicating an active community.
kitaru is released under the Apache-2.0 license, making it free to use and modify according to the license terms.