Haozhe-Xing/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
501
Stars
78
Forks
51.6
Radar Score
Rising
Momentum
Scoring Breakdown
Impact48.0
Velocity46.7
Health64.1
Growth Metrics
7-Day Stars
+0
30-Day Stars
+0
Acceleration
x
Language
HTML
Why it ranks
Steady growth — consistently collecting stars and contributors.
AI Agents · research agentTop 38% globally
Popular Alternatives & Competitors
Top projects in the same category (AI Agents) — compare side by side.
🛡️ Enterprise Readiness & Commercial Safety
Organic Growth
74%
Moderate Confidence
License
Permissive (Commercial Friendly)
Safe for commercial use, modification, and distribution.
Health Grade
A
Based on maintenance, issue response, and release cadence.
Radar Score
51.6
Composite of Impact, Velocity, and Health.
⚠️ Growth Anomaly Detected:
- Issue engagement: 0 open issues for 501 stars (0.0%).
Disclaimer: This is an automated heuristic assessment based on public GitHub signals. Always perform your own security audit, dependency review, and legal compliance check before production deployment.
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