There are 16 repositories under langgraph topic.
React UI + elegant infrastructure for AI Copilots, AI chatbots, and in-app AI agents. The Agentic last-mile 🪁
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
A community-driven AI automation framework that builds upon the incredible work of the open source community. Our goal is to combine language models with specialized tools for tasks like web search, crawling, and Python code execution, while giving back to the community that made this possible.
Learn Agentic AI using Dapr Agentic Cloud Ascent (DACA) Design Pattern and Agent-Native Cloud Technologies: OpenAI Agents SDK, Memory, MCP, A2A, Knowledge Graphs, Dapr, Rancher Desktop, and Kubernetes.
Full toolkit for running an AI agent service built with LangGraph, FastAPI and Streamlit
Desktop app for prototyping and debugging LangGraph applications locally.
DATAGEN: AI-driven multi-agent research assistant automating hypothesis generation, data analysis, and report writing. Now expanding into crypto market intelligence. Learn more: https://datagen.digital/.
This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle the tasks.
Low code tool to rapidly build and coordinate multi-agent teams
A compilation of the best multi-agent papers
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。)
🦜💬 Web app for interacting with any LangGraph agent (PY & TS) via a chat interface.
LangChain, LangGraph Open Tutorial for everyone!
Self-paced bootcamp on Generative AI. Tutorials on ML fundamentals, LLMs, RAGs, LangChain, LangGraph, Fine-tuning Llama 3 & AI Agents (CrewAI)
Chat snowflake - Text to SQL
YT Navigator: AI-powered YouTube content explorer that lets you search and chat with channel videos using AI agents. Extract insights from hours of content in seconds with semantic search and precise timestamps.
🚀 LangGraph for Java. A library for building stateful, multi-actor applications with LLMs, built for work jointly with langchain4j
Open-source unstructured data (PDFs, Images, Audiofiles) processing platform built for knowledge workers
Code from tutorials presented on the "Code AI with Rok" YouTube channel
A GPT-based autonomous multi-agent AI in Next.js that research & recommends Instagram Viral Posts reflecting your personality.
Multi-Faceted AI Agent and Workflow Autotuning. Automatically optimizes LangChain, LangGraph, DSPy programs for better quality, lower execution latency, and lower execution cost. Also has a simple agent/workflow framework
🤖 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
🤖 AI-powered code generation tool for scratch development of web applications with a team collaboration of autonomous AI agents.
LangGraph template for a simple ReAct agent
Data Processor for AI Agents. Search your documents or the web for specific data and get it back in JSON or Markdown in a single tool call.
Visual node-edge graph GUI editor for LangGraph and run with local LLM or online API
A financial chat application powered by LangChain, OpenBB, and Claude 3 Opus.
Streamlit and LangGraph Intersection Starters, LangGraph with Streamlit, Streamlit with LangGraph
LangGraph Studio template for creating an agent that does web research to genearte or enrich structured data.
learning resource of langgraph for dummy
A home assistant generative agent integration based on langchain and langgraph.
Multi AI agents for customer support email automation built with Langchain & Langgraph
langchain-chat is an AI-driven Q&A system that leverages OpenAI's GPT-4 model and FAISS for efficient document indexing. It loads and splits documents from websites or PDFs, remembers conversations, and provides accurate, context-aware answers based on the indexed data. Easy to set up and extend.