Ecosystem & Stack: langgraph

Deep Agents is a batteries-included AI agent harness built with LangChain and LangGraph, offering out-of-the-box capabilities for planning, file system interaction, sub-agent delegation, and intelligent context management to tackle complex agentic tasks efficiently.

A modular framework built with LangGraph for developing advanced Agentic RAG systems, offering both learning materials and an extensible architecture.

A multi-agent LLM framework designed to simulate real-world trading firms, enabling collaborative evaluation and informed financial trading decisions.

An open-source framework enabling organizations to build custom, asynchronous AI coding agents for internal development workflows, leveraging cloud sandboxes and integrated tools.

A lightweight Python library that enables seamless integration of Anthropic Model Context Protocol (MCP) tools with LangChain and LangGraph.

A comprehensive, free online course from Hugging Face designed to teach the fundamentals and advanced techniques of building AI agents.

A comprehensive, job-oriented guide for AI Agent development, covering core technologies, practical projects, and interview preparation for LLM-related roles.

An open-source AI platform that unifies ML pipelines and agentic workflows, abstracting infrastructure complexity for ML/AI engineers.

A comprehensive repository offering practical implementations of 17+ state-of-the-art AI agent architectures using LangChain and LangGraph for hands-on learning and development.

A TypeScript/React library for rapidly building production-grade, customizable AI chat experiences with built-in streaming, accessibility, and broad backend support.

A production-ready FastAPI template for building scalable and secure AI agent applications with LangGraph, handling common infrastructure challenges.