by wulawulu · MCP Server · ★ 98
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learn-claude-code-rs English | 中文 A progressive AI Agent Harness tutorial written in Rust. This repository is a Rust-oriented learning path for building an agent harness. It starts with the smallest agent loop and gradually adds tools, planning, subagents, skills, context compaction, permissions, hooks, memory, multi-agent collaboration, worktree isolation, MCP/plugins, and tool routing. This project was inspired by shareAI-lab/learn-claude-code. Its chapter design, content organization, and some code ideas reference that project to a certain extent, then reimplement and adapt them for the Rust ecosystem. It is not a line-by-line copy or a simple port; it reorganizes the agent harness topic itself into a runnable Rust tutorial. Each chapter is an independent runnable Rust crate. You can read them in order or jump directly into a topic to see how a harness capability is expressed through data structures, runtime loops, tool interfaces, and durable state. Why This Repo Most LLM examples stop at tool calling.
| Stars | 98 |
| Forks | 20 |
| Language | Rust |
| Category | MCP Server |
| License | MIT |
| Quality Score | 71.9107775080884/100 |
| Last Updated | 2026-06-07 |
| Created | 2026-04-08 |
| Platforms | claude-code, mcp, rust |
| Est. Tokens | ~171k |
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learn-claude-code-rs is Build an AI agent harness in Rust, from a minimal loop to tools, subagents, memory, teams, worktrees, MCP, and typed tool routing.. It is categorized as a MCP Server with 98 GitHub stars.
learn-claude-code-rs is primarily written in Rust. It covers topics such as agent-harness, agentic, ai-agent.
You can find installation instructions and usage details in the learn-claude-code-rs GitHub repository at github.com/wulawulu/learn-claude-code-rs. The project has 98 stars and 20 forks, indicating an active community.
learn-claude-code-rs is released under the MIT license, making it free to use and modify according to the license terms.
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