agent_learning

MCP server · GitHub · ★ 631 · graded 2026-10-19Source linked

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

No outside reports on file

agent_learning is distributed via GitHub (Haozhe-Xing/agent_learning); review its source code, dependencies, and requested permissions before use.

Based on public adoption and transparency signals as of Oct 19, 2026. Our opinion, not a code audit or security guarantee.

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What it can access

Local filesNo local folder access notedLOW
Command executionRuns shell or system commandsREVIEW
Network reachConnects to outside service APINOTED
CredentialsNo API token requiredLOW
Package sourceGitHub (Haozhe-Xing/agent_learning)PUBLIC

Inferred from this listing’s public package details and description. Check the project’s source before installing.

Install

No npm or PyPI package is listed. Install from source: github.com/Haozhe-Xing/agent_learning ↗

All setup options ↓

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Everything known

We found nothing about this project in the sources we read (last checked 2026-10-30). That does not mean it has no problems.

0 incidents · 0 advisories · 0 news articles · 0 community threads · checked 2026-10-30

Popularity grade: C (from public signals such as stars and downloads, not a code review). Graded 2026-10-19.

Sources we read: OSV, GitHub Advisory Database, CISA Known Exploited Vulnerabilities, 44 security news feeds and our incident library. Last checked 2026-10-30.

Check a specific version →

About Agent Learning

Agent Learning is an MCP server focused on Memory & knowledge: 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.

It is hosted on GitHub at Haozhe-Xing/agent_learning (616 GitHub stars). Based on its public metadata, it operates with standard local or API scope without broad shell execution flags noted.

Setup

Check these steps against the project’s own instructions before running anything.

No standalone npm or PyPI package is listed for this MCP server. Clone and inspect the source repository directly:

bash

git clone https://github.com/Haozhe-Xing/agent_learning.git

Review the README and source files in https://github.com/Haozhe-Xing/agent_learning (opens external site) before running any setup commands.

Why this grade

CC — Moderate risk signals

Signal-based grade (3/7 points): well starred on GitHub, public source code. This reflects adoption and transparency, not a code review.

Popularity and upkeep

31/100

GitHub stars: 631
Listing last refreshed: 2026-10-29

These are public popularity signals, not a maintenance check. Look at the repository’s commit history and open issues.

Risks to watch for

Dependency & version pinning: Distributed via GitHub (Haozhe-Xing/agent_learning). Pin an exact release version or commit SHA rather than floating tags so upstream updates are reviewed first.

How to lower the risk

Least-privilege permissions

Give it access only to the specific folders, accounts or projects it needs, never your whole drive or admin account.
Use a separate, limited API key or login just for this tool so you can switch it off without affecting anything else.

Network isolation

Run it on a work computer or sandbox account, not one holding personal or company-sensitive data.
If your IT team can, limit which websites and services it is allowed to contact.

Monitoring

Check its activity history or logs weekly at first, and look at what it changed or sent.
Turn on alerts for new logins or unusual usage on any account it connects to.

Red flags to watch for

It asks for more access than its job requires, or prompts you to paste passwords.
It suddenly updates with new owners, or starts contacting unfamiliar websites.

Questions

How do I install Agent Learning?

Agent Learning does not publish a standalone npm or PyPI package. Clone or follow the setup instructions in its source repository at github.com/Haozhe-Xing/agent_learning.

Are there security reports about Agent Learning?

No reports found for this package in our research (last checked 2026-10-30). Agent Learning currently holds Grade C (Moderate risk signals) based on public adoption and transparency signals. Key risk areas to watch include dependency & version pinning:.

Is Agent Learning actively maintained?

Agent Learning has 631 GitHub stars. Our directory data was last refreshed on 2026-10-29. Check recent commit activity, release tags, and open issues at github.com/Haozhe-Xing/agent_learning before pinning it in production.

What are alternatives to Agent Learning?

You can compare Agent Learning side by side with other Memory MCP servers in the Related tools section on this page, or use the Compare tool on AgentArmorHQ.

Maintain or use Agent Learning? Show its live grade in your GitHub README, docs site, or run a check from the terminal before you install.

AgentArmorHQ Risk Grade C for Agent Learning

GitHub README Markdown:

markdown

[![AgentArmorHQ Risk Grade for Agent Learning](https://agentarmorhq.com/api/badge/haozhe-xing-agent-learning)](https://agentarmorhq.com/skills/haozhe-xing-agent-learning)

HTML embed:

html

<a href="https://agentarmorhq.com/skills/haozhe-xing-agent-learning"><img src="https://agentarmorhq.com/api/badge/haozhe-xing-agent-learning" alt="AgentArmorHQ Risk Grade for Agent Learning" height="20" /></a>

Terminal check:

terminal

curl -fsSL https://agentarmorhq.com/api/cli | node --input-type=module - check "haozhe-xing-agent-learning"

Share with your security lead

Need sign-off to use agent_learning? Copy this note for Slack, a ticket or a pull request.

### AgentArmorHQ Security Review Memo: agent_learning
- **Listing URL:** https://agentarmorhq.com/skills/haozhe-xing-agent-learning
- **Type:** App connector
- **Risk Grade:** Grade C (Moderate risk signals)
- **Outside Security Advisories on File:** 0
- **Public Adoption:** 631 GitHub stars

#### Permission & Blast-Radius Signals
- **Local files:** No local folder access noted
- **Command execution:** Runs shell or system commands
- **Network reach:** Connects to outside service API
- **Credentials:** No API token required
- **Package source:** GitHub (Haozhe-Xing/agent_learning)

#### Recommended Hardened Setup
- **Source Repo:** https://github.com/Haozhe-Xing/agent_learning
- **Controls:** Pin an exact version in `.mcp.json`, scope access to a single workspace folder, and use a least-privilege read-only token where supported.

_Based on public adoption and transparency signals as of Oct 19, 2026. Our opinion, not a code audit or security guarantee._

Key facts

Type: App connector
Publisher: Haozhe-Xing
Source code: github.com/Haozhe-Xing/agent_learning
Est. context load: ~600 tokens / turn (~3 tool schemas, 0.3% of 200k context)
Popularity: 631 GitHub stars
Last updated: 2026-10-29
Last graded: 2026-10-19

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