Python · MIT
WenyuChiou/awesome-agentic-ai-zh
A trilingual (繁中 / English / 简中) learning roadmap for agentic AI: from LLM basics to multi-agent systems, with 240+ curated resources and hands-on examples. 中文 AI agent 學習地圖。
★ 8.5k
Stars
1.1k forks · 7 open issues
+66/day
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
70.2
Momentum / 100
see the breakdown below
6mo ago
Created
last push 5d ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 34.9 | +66/day, log-scaled against a 750/day ceiling |
| Acceleration | 15 | 9.1 | last week ran 1.61× the monthly pace |
| Freshness | 15 | 14.8 | last push 5d ago; decays to zero at 180 days |
| Scale | 15 | 11.4 | 8.5k stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 70.2 | sum of the above |
Detail
| Topics | agentic-aiagentic-workflowsai-agentai-agentsawesome-listchinese-llmclaude-codeclaude-skillsclilearning-roadmapllmllm-agentsmcpmodel-context-protocolmulti-agent-systemsprompt-engineeringragtrilingualtutorial |
| Matched on | AI Agents (agentic-ai, ai-agents) RAG (rag) Agent Skills & MCP (mcp, model-context-protocol) LLM & Inference (llm) Dev Tools (cli) Learning & Roadmaps (awesome-list, tutorial) |
| Short window | +463 stars over 7 days = 66.1/day |
| Long window | +1.1k stars over 26 days = 41.2/day |
| Lifetime average | 46.21 stars/day over 185 days |
| First seen here | 2026-10-11 |
| Last read | 2d ago |