The agent engineering platform

Build resilient language agents as graphs.

An open-source SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skills and subagents, it handles different levels of tasks that could take minutes to hours.

This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive AI systems.

AI PDF chatbot agent built with LangChain & LangGraph

Open source alternative to NotebookLM for teams. Join our Discord: https://discord.gg/ejRNvftDp9

Deep Agents is an agent harness built on langchain and langgraph. Deep Agents are equipped with a planning tool, a filesystem backend, and the ability to spawn subagents - making them well-equipped to handle complex agentic tasks.

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

LangChain 🔌 MCP

Implementation of 17+ agentic architectures designed for practical use across different stages of AI system development.

PipesHub is a fully extensible and explainable workplace AI platform for enterprise search and workflow automation

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

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

AI agents can now use real Android and iOS apps, just like a human.

A production-ready FastAPI template for building AI agent applications with LangGraph integration. This template provides a robust foundation for building scalable, secure, and maintainable AI agent services.

Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.

Turn paper/text/topic into editable research figures, technical route diagrams, and presentation slides.

DATAGEN: AI-driven multi-agent research assistant automating hypothesis generation, data analysis, and report writing.

An index of the LangChain + LangGraph ecosystem: concepts, projects, tools, templates, and guides for LLM & multi-agent apps.

This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle the tasks.

Open-source persistent memory for AI agent pipelines (LangGraph, CrewAI, AutoGen) and Claude. REST API + knowledge graph + autonomous consolidation.

When Philosophy meets AI

For your multi-agent needs

🚀 LangGraph for Java. A library for develop AI Agentic Architectures in the Java ecosystem. Designed to work seamlessly with both Langchain4j and Spring AI.

Build production-ready LLM applications and advanced agents using Python, LangChain, and LangGraph. This is the companion repository for the book on generative AI with LangChain.

A compilation of the best multi-agent papers

A project-based course repository for developing AI agents using LangChain v1+ and LangGraph: search agents, RAG systems, reflection agents, and code interpreters.

Flock is a workflow-based low-code platform for rapidly building chatbots, RAG, and coordinating multi-agent teams, powered by LangGraph, Langchain, FastAPI, and NextJS.（Flock 是一个基于workflow工作流的低代码平台，用于快速构建聊天机器人、RAG、Agent和Muti-Agent应用，采用 LangGraph、Langchain、FastAPI 和 NextJS 构建。）

Low code tool to rapidly build and coordinate multi-agent teams

The open source post-building layer for agents. Our environment data and evals power agent post-training (RL, SFT) and monitoring.