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Build resilient agents.

The open-source thread-plane for agents: chat, durable threads, persistence, human approvals, and generative UI for React and Angular, on LangGraph and AG-UI.

Self-paced bootcamp on Generative AI. Tutorials on ML fundamentals, Ollama, LLMs, RAGs, LangChain, LangGraph, Fine-tuning, DSPy & AI Agents (CrewAI), (Using ChatGPT, gpt-oss, Claude, Qwen, Gemma, Llama, Gemini)

Full toolkit for running an AI agent service built with LangGraph, FastAPI and Streamlit

LangGraph template for a simple ReAct agent

Learn about the fundamentals of LangGraph through a series of notebooks

🤖 An open-source, AI agent-native research canvas application that performs real-time search with HITL (Human in The Loop) capabilities, powered by CopilotKit, Tavily and LangGraph

Aix-DB 基于 LangChain/LangGraph 框架，结合 MCP Skills 多智能体协作架构，实现自然语言到数据洞察的端到端转换。

🦜💬 Web app for interacting with any LangGraph agent (PY & TS) via a chat interface.

alphastream 是一个由 AI 驱动的投资决策平台，通过多 Agent 协同编排系统，实时流式输出覆盖全球金融市场的深度洞察。基于 LangGraph 和 Python 构建，它无缝整合技术指标、基本面数据、资金流向分析和情绪智能，形成动态自适应的工作流。不同于传统的回测工具，alphastream 通过 SSE 将完整的决策过程——从数据获取、工具调用到最终推理——全程可视化，为投资者提供透明的可执行智能。

面向外贸与 B2B 场景的 AI 客户挖掘系统，基于 FastAPI、LangGraph 和 React，实现公司理解、关键词生成、网页搜索、线 索提取与联系方式发现AI-powered B2B lead hunting system built with FastAPI, LangGraph, and React for automated company research, keyword generation, web search, lead extraction, and contact discovery.

Get started with building Fullstack Agents using Gemini 2.5 and LangGraph

🟪 Open-source runtime that ships any LangGraph or Google ADK agent as a production-ready FastAPI service. Bundled , AG-UI copilotkit API, chat UI, 15+ guardrails, MCP, OpenTelemetry, OIDC. One pip install. Self-hosted, no vendor lock-in.

Open source alternative to LangGraph Platform (now LangSmith Deployments) - Self-hosted AI agent backend with FastAPI and PostgreSQL. Zero vendor lock-in, full control over your agent infrastructure.

A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.

剧本分镜智能体（PenShot）：电影/动漫/短剧/小说→分镜→提示词→视频。| 基于LLM 通过 LangGraph+LlamaIndex实现任意格式剧本的自动解析，生成 Sora/Veo/Runway 等模型可用的连贯text-to-video提示词。保持角色/剧情跨片段一致，支持 MCP/REST API/Function Calls/A2A 多方式集成。（LLM-powered text-to-video-prompt agent. Break scripts into Sora/Veo-ready shots with character consistency）

AI Agent 教学仓库 | 系统化 LangChain、RAG、LangGraph、MCP 全栈实战代码 | 万字博客详解 | 开源可运行示例 | 从零构建智能体

SuperMew — Agentic RAG with LangChain & LangGraph

open source agent engineering platform: traces, evals, and metrics to debug and improve your AI agents. Integrates with LangGraph, CrewAI, Claude Agent SDK, and more.

开源 AI 电商图片工作台：商品主图与详情页、批量图片翻译、小红书图文、LangGraph Agent。支持 Windows / macOS 和本地部署，使用自己的模型 API。Open-source e-commerce image generator, translation & agent workspace.

Aurora — Open source AI-powered agentic incident management & root cause analysis for SREs. LangGraph agents investigate across AWS, Azure, GCP, Kubernetes. Integrates with PagerDuty, Datadog, Grafana, Slack and More. Apache 2.0.

故事想法 → 多智能体协作 → 漫剧成片 | 基于 LangGraph 的 AI 漫剧生成平台

🚀 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

基于LangChain、LangGraph、FastAPI和React的RAG项目，主分支为基于知识图谱的知识管理平台，base-rag分支为完整的向量RAG项目供学习使用

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

Build LangGraph agents like Next.js apps.

📊 电商数仓智能问数 AI Agent，最适合用于系统学习 LangGraph 的实战项目：基于 LangGraph、FastAPI、Qdrant、Elasticsearch、MySQL 与 React，完整实现元数据知识库、混合检索、自然语言生成 NL2SQL 生成校验、SQL 执行与流式查询展示。前后端完整代码全栈可跑，Docker 环境一键部署，配套 ai-agents-from-zero 免费教程与章节代码分支。适合系统学习大模型应用、数据分析 Agent 和企业级 AI 工程落地。

A practical AI agents handbook covering agent systems, agentic workflows, LangGraph, MCP/A2A, context engineering, agent memory, evaluation, observability, and multi-agent architecture. Current trend focus: AI assistant, emerging agent runtimes, and production AI workflow patterns.

📚 《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