ai-agents-from-zero
MCPMIT
开源中文 AI Agent 系统教程，覆盖 LangChain/LangGraph/RAG/MCP 与实战项目及面试题库。
5k·AI Agents·Open source
agents-towards-production
Open sourceOpen-source, code-first tutorials for building production-grade GenAI agents from prototype to enterprise deployment.
21kNOASSERTION
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
Pros
- +28 production-grade tutorials covering stateful workflows, vector memory, and multi-agent coordination
- +Code-first approach with hands-on labs and real-world deployment scenarios
- +Covers security guardrails, observability, and GPU scaling for enterprise readiness
Cons
- −Requires familiarity with Python and AI agent concepts
- −Tutorials may be opinionated towards specific frameworks like LangChain
- −Not a turnkey solution; requires integration effort
Target audience: AI engineers and developers seeking practical, code-first guidance to deploy GenAI agents in production environments.
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