didilili/ai-agents-from-zero
🚀 2026 最系统的 AI Agent 速成指南|智能体实战教程 · 完整学习路径 + 实战项目 + 面试题库 · 对标大模型应用开发工程师岗位 · 覆盖LangChain / LangGraph / Coze / Dify / MCP / skills / LLM / RAG / 提示词 · 企业级部署与微调 · 从0到企业级落地 + 从学习到上线项目 + 面试准备一体化
Latest metrics (snapshot 2026-10-14)
| stars | 5315 |
|---|---|
| forks | 732 |
| issues | 7 |
| pushed_at | 2026-10-14T10:20:22Z |
History
History chart: 1 daily snapshot so far (archive started 2026-10-14). The line fills in as the daily archive grows; full series via the API.
| Date | GitHub stars |
|---|---|
| 2026-10-14 | 5315 |
ADC Momentum: 55/100
| Growth velocity | 58 |
|---|---|
| Consistency | 47 |
| Recency | 98 |
| Agent demand | 0 |
| Basis | bootstrap |
ADC Momentum (0-100) = 45% growth velocity (stars/likes gained per day in our daily archive, relative and absolute, percentile-ranked within the category) + 20% consistency (share of recent days with growth) + 20% recency (latest push/update/release, decaying) + 15% agent demand (how often AI agents looked it up via our API/MCP this week). MCP servers use release cadence; LLMs use price cuts, context and recency. Recomputed daily; scores marked "bootstrap" use lifetime rates until the archive has enough days. Method
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[](https://agentdataco.com/repo/didilili/ai-agents-from-zero)<a href="https://agentdataco.com/repo/didilili/ai-agents-from-zero"><img src="https://agentdataco.com/badge/repo/didilili/ai-agents-from-zero.svg" alt="ADC Momentum"></a>
Details
| description | 🚀 2026 最系统的 AI Agent 速成指南|智能体实战教程 · 完整学习路径 + 实战项目 + 面试题库 · 对标大模型应用开发工程师岗位 · 覆盖LangChain / LangGraph / Coze / Dify / MCP / skills / LLM / RAG / 提示词 · 企业级部署与微调 · 从0到企业级落地 + 从学习到上线项目 + 面试准备一体化 |
|---|---|
| url | https://github.com/didilili/ai-agents-from-zero |
| language | Python |
| license | MIT |
| topics | agent agent-framework agentic-ai ai-agent aigc coze cursor deepagents dify gpt langchain langgraph |
| created_at | 2026-01-29T02:49:11Z |
| homepage | https://didilili.github.io/ai-agents-from-zero/ |
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