Agent Learning MCP Server

by Haozhe-Xing• 634•• Scanned•Claim this listing•Request removal
Learning Resourcesagent learningagentic workflowai agentai agent tutorialdspy

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

  • Run shell commandsNot seen in this scan
  • Run dynamic codeNot seen in this scan
  • Read or write filesNot seen in this scan
  • Read environment and secretsNot seen in this scan
  • Control a web browserNot seen in this scan
  • Connect to databasesNot seen in this scan
  • Read or send messagesNot seen in this scan
  • Touch money or tradingNot seen in this scan
  • 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

  1. Pin the version you reviewed instead of always installing the latest release.
  2. 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

agent-learningagentic-workflowai-agentai-agent-tutorialdspygrpolangchainlarge-language-modelsllmmcpmemory-systemmulti-agentsrag

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.

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