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agent_learning MCP Server

Haozhe-Xing/agent_learning

Score: 92.2 Rank #206 Agent Framework
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A systematic AI Agent development tutorial covering LLM agents, RAG, tool use, memory systems, multi-agent systems, LangChain, LangGraph, MCP, and agentic RL.|从零开始学 AI Agent 开发 | 系统、全面、实战导向的 Agent 开发教程 | 每日自动追踪 arXiv 最新论文 | Learn AI Agent Development from Scratch

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Overview

Haozhe-Xing/agent_learning is a HTML tool licensed under MIT. A systematic AI Agent development tutorial covering LLM agents, RAG, tool use, memory systems, multi-agent systems, LangChain, LangGraph, MCP, and agentic RL.|从零开始学 AI Agent 开发 | 系统、全面、实战导向的 Agent 开发教程 | 每日自动追踪 arXiv 最新论文 | Learn AI Agent Development from Scratch

Ranked #206 out of 24840 indexed tools.

In the top 1% of all indexed tools.

Has 10 contributors.

Actively maintained with commits in the last week.

Ecosystem

HTML MIT

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 548

548 stars → growing community

Freshness 25% 1d ago

Last commit 1d ago → actively maintained

Issue Health 25% 88%

7/8 issues closed → responsive maintainer

Contributors 10% 10

10 contributors → active community

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 85
Description Detailed
License MIT

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

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