Agent Learning MCP Server
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
Agent Learning is an open-source mcp server by Haozhe-Xing, written mainly in HTML, with 634 GitHub stars and the MIT license. Its code was last updated Oct 24, 2026.
Scan summary: scanned Nov 5, 2026 at commit ac2068f. No capabilities flagged by our checks. Scan policy
What Agent Learning can touch
- Our checks did not find this. The tool may still do it.Run shell commandsNot seen in this scan
- Our checks did not find this. The tool may still do it.Run dynamic codeNot seen in this scan
- Our checks did not find this. The tool may still do it.Read or write filesNot seen in this scan
- Our checks did not find this. The tool may still do it.Read environment and secretsNot seen in this scan
- Our checks did not find this. The tool may still do it.Control a web browserNot seen in this scan
- Our checks did not find this. The tool may still do it.Connect to databasesNot seen in this scan
- Our checks did not find this. The tool may still do it.Read or send messagesNot seen in this scan
- Our checks did not find this. The tool may still do it.Touch money or tradingNot seen in this scan
- Our checks did not find this. The tool may still do it.Connect to the internetNot run in this scan
"Not seen" means our checks did not find it, and the tool may still do it. Covers commit ac2068f, Nov 5, 2026. See the scan policy.
Before you install Agent Learning
AgenticMart scanned Agent Learning on Nov 5, 2026 with automated checks for hidden code, known-malicious packages, leaked secrets and vulnerable dependencies. The result covers one commit under our scan policy, so review what access you give it and check any advisories shown here.
What it can access
- An MCP server is a program your AI app starts and talks to. A local one runs with your user's permissions: it can see the files, environment variables and network your account can.
Before you install
- Pin the version you reviewed instead of always installing the latest release.
- Read the tool list or scripts before the first run, and keep approval prompts on for actions that write, send or delete.
- Maintained by Haozhe-Xing on GitHub, 634 stars and 99 forks. Popularity is not proof of safety.
- Last code change: Oct 24, 2026.
- Open-source license: MIT.
Agent Learning is an open-source mcp server by Haozhe-Xing, written mainly in HTML. 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
At a glance
- Stars
- 634
- Forks
- 99
- Language
- HTML
- License
- MIT
- Created
- Mar 2026
- Last update
- Oct 24, 2026
- Type
- MCP Server
- Price
- Free
Topics
Questions about Agent Learning
What is Agent Learning?
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
Who maintains Agent Learning?
Agent Learning is maintained by Haozhe-Xing on GitHub (Haozhe-Xing/agent_learning). AgenticMart lists it from public repository data.
Is Agent Learning safe to use?
AgenticMart scanned Agent Learning on Nov 5, 2026 with automated checks for hidden code, known-malicious packages, leaked secrets and vulnerable dependencies. The result covers one commit under our scan policy, so review what access you give it and check any advisories shown here.
What license does Agent Learning use?
It is published under the MIT license.
Agent Learning alternatives
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|---|---|---|---|---|
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