HTML · MIT
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
★ 651
Stars
101 forks · 2 open issues
+3.0/day
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
34.7
Momentum / 100
see the breakdown below
8mo ago
Created
last push 15d ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 11.5 | +3.0/day, log-scaled against a 750/day ceiling |
| Acceleration | 15 | 1.0 | last week ran 1.07× the monthly pace |
| Freshness | 15 | 14.0 | last push 15d ago; decays to zero at 180 days |
| Scale | 15 | 8.2 | 651 stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 34.7 | sum of the above |
Detail
| Topics | agent-learningagentic-workflowai-agentai-agent-tutorialdspygrpolangchainlarge-language-modelsllmmcpmemory-systemmulti-agentsrag |
| Matched on | RAG (rag) LLM & Inference (large-language-models) |
| Short window | +21 stars over 7 days = 3.0/day |
| Long window | +73 stars over 26 days = 2.8/day |
| Lifetime average | 2.74 stars/day over 237 days |
| First seen here | 2026-10-11 |
| Last read | 2d ago |