by Annyfee · MCP Server · ★ 124
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
AI Agent 教学仓库 | 系统化 LangChain、RAG、LangGraph、MCP 全栈实战代码 | 万字博客详解 | 开源可运行示例 | 从零构建智能体
| Stars | 124 |
| Forks | 24 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 42.45/100 |
| Last Updated | 2026-03-12 |
| Created | 2025-10-23 |
| Platforms | mcp, python |
| Est. Tokens | ~4087k |
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agent-craft is AI Agent 教学仓库 | 系统化 LangChain、RAG、LangGraph、MCP 全栈实战代码 | 万字博客详解 | 开源可运行示例 | 从零构建智能体. It is categorized as a MCP Server with 124 GitHub stars.
agent-craft is primarily written in Python. It covers topics such as ai-agent, artificial-intelligence, beginner-guide.
You can find installation instructions and usage details in the agent-craft GitHub repository at github.com/Annyfee/agent-craft. The project has 124 stars and 24 forks, indicating an active community.
agent-craft is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to agent-craft on Agent Skills Hub include argo, oreilly-ai-agents, ScienceClaw. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.