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The learn-claude-code-rs MCP server was last committed 2mo ago and has 1 contributor. Issue health: 50% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

learn-claude-code-rs MCP Server

Name: wulawulu/learn-claude-code-rs
Rating: 3.2 (1 reviews)
Author: wulawulu

wulawulu/learn-claude-code-rs

Score: 55.1 Rank #10256 Agent Framework

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Build an AI agent harness in Rust, from a minimal loop to tools, subagents, memory, teams, worktrees, MCP, and typed tool routing.

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Overview

wulawulu/learn-claude-code-rs is a Rust tool licensed under MIT. Build an AI agent harness in Rust, from a minimal loop to tools, subagents, memory, teams, worktrees, MCP, and typed tool routing. Topics: agent-harness, agentic, ai-agent, claude-code, coding-agent, llm, mcp, multi-agent, rust, rust-lang, subagent, tool-use, tutorial, worktree.

Ranked #10256 out of 24846 indexed tools.

Ecosystem

Rust MIT

agent-harnessagenticai-agentclaude-codecoding-agentllmmcpmulti-agentrustrust-langsubagenttool-usetutorialworktree

Score Breakdown

Stars 15% 142

142 stars → growing community

Freshness 25% 2mo ago

Last commit 2mo ago → moderate activity

Issue Health 25% 50%

1/2 issues closed → decent issue management

Contributors 10% 1

1 contributor → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads N/A

Forks 32

Description Good

License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Description low impact

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Freshness high impact

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Contributors medium impact

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Details

Stars: 142
Forks: 32
Open Issues: 1
Closed Issues: 1
Contributors: 1
Dependents: —
Language: Rust
License: MIT
Last Commit: 2mo ago

Matched Queries

topic:mcp

From the README

# learn-claude-code-rs

English | [中文](./README.zh.md)

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, tool routing, and agent evaluation.

This project was inspired by [shareAI-lab/learn-claude-code](https://github.com/shareAI-lab/learn-claude-code/tree/main). 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 thr

Read full README on GitHub →