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datawhalechina/deepagents-in-action

📚 《Deep Agents 实战》—— LangChain 官方大使出品,基于 LangChain / LangGraph 生态,从零构建生产级 AI Agent 的完整指南

更新:2026/10/12 05:34:03首次收录:2026/10/12 05:34:03原始来源
language
Jupyter Notebook
stars
2665
forks
276
license
null
homepage
https://datawhalechina.github.io/deepagents-in-action/
source_updated_at
2026-10-11T12:12:17Z

详细说明:

📚 《Deep Agents 实战》—— LangChain 官方大使出品,基于 LangChain / LangGraph 生态,从零构建生产级 AI Agent 的完整指南

描述来源标记:原始/编辑整理

如何使用:

在 GitHub 打开仓库 datawhalechina/deepagents-in-action,按 README 安装与使用。Stars:2665。

同类对比:

词条关系简介选择理由
datawhalechina/deepagents-in-action当前—基准对照
LangChain相关The agent engineering platform.与「datawhalechina/deepagents-in-action」相关,可按场景对照选用
LlamaIndex相关LlamaIndex is the document processing platform for AI与「datawhalechina/deepagents-in-action」相关,可按场景对照选用
MCP 官方示例服务器集合相关Model Context Protocol 官方维护的参考 MCP Server 集合。与「datawhalechina/deepagents-in-action」相关,可按场景对照选用
ComfyUI相关AI 相关工具/产品:ComfyUI。与「datawhalechina/deepagents-in-action」相关,可按场景对照选用
AutoGen相关AI 相关工具/产品:AutoGen。与「datawhalechina/deepagents-in-action」相关,可按场景对照选用
NousResearch/hermes-agent相关The agent that grows with you与「datawhalechina/deepagents-in-action」相关,可按场景对照选用
firecrawl/firecrawl相关Supercharge your AI agents with data from the web and beyond. Building the library for superintelligence. 🔥与「datawhalechina/deepagents-in-action」相关,可按场景对照选用
huggingface/transformers相关🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training. 与「datawhalechina/deepagents-in-action」相关,可按场景对照选用

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