LangChain · LangGraph · Deep Agents Notebooks

An AI-powered Multi-Agent Research Assistant built with Generative AI, Agentic AI, LangGraph, RAG, Persistent Memory, FAISS, and FastAPI. It supports multi-format uploads, intelligent PDF analysis, and expert-like Q&A via Researcher, Summarizer, Critic, and Editor agents—offering deep, contextual, and interactive research insights.

Real Estate AI Deep Agents is a multi-agent AI platform built with DeepAgents and LangGraph that helps users search, analyze, and evaluate properties, It combines intelligent orchestration, financial and market analysis, location insights, and automated report generation into an end-to-end solution powered by LLM infrastructure

Whenever I mention my customization of the langgraph deep agents library to e2b, there's usually a feeding frenzy of people wanting to see it, so here it is.

Complete Deep Agents system with LangGraph research agent backend and Next.js UI frontend - Docker Compose deployment ready

A deep research agent built with LangGraph that conducts thorough, multi-layered research through dynamic skill loading, intelligent planning, context management, and task delegation.

Multi-agent deep research system with 3-phase workflow: scoping → research → writing. Built with LangGraph for comprehensive topic investigation using parallel research agents and web search.

Deep Agents is a comprehensive AI agent framework built on LangGraph that enables intelligent task automation through sub-agent spawning, todo management, and file system operations. Features include a research agent with web search capabilities, and a modern Next.js UI for interactive agent conversations and task tracking.

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Deeplearning.AI

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Learning how to build Langgraph Deep Research Agents

Orchestrating Deep LangGraph Swarms for Autonomous Agents Governance

Sistema avançado de Retrieval-Augmented Generation construído sobre o framework **Deep Agents** (LangChain/LangGraph), com armazenamento vetorial no **Pinecone**, **reranking LLM-based**, **System Prompt Store com guardrails** e interface web completa.

A complete IDE-native learning course for building AI Agents with LangChain, LangGraph, and Deep Agents

This project serves as the backend for a GenAI Deep Research application, utilizing FastAPI for the API and Langchain/Langgraph for orchestrating research agents.

Build advanced AI agents from scratch with LangGraph! This repo provides 5 progressive notebooks covering task planning, virtual file systems, sub-agent delegation, and full research workflows. Learn the core patterns powering deep agents like Manus and Claude Code for real-world long-horizon tasks.

Atlas is a plug-and-play deep research agent for the LangGraph and LangChain ecosystem. It supports configurable tools, prompts, LLMs, and sub-agents, enabling structured multi-step research with fast iteration and explicit control over execution flow.

A full-stack AI & ML engineering lab covering Python, Statistics, NumPy, Pandas, Matplotlib, Machine Learning, Deep Learning (ANN, CNN), Computer Vision (OpenCV, YOLO), NLP, LangChain, LangGraph, and Generative AI (RAG, LLMs, Embeddings, Agents). Includes FastAPI and hands-on projects.

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Deep agents LangGraph demo

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It's an experimental, fully open-source research assistant that automates deep research and produces comprehensive reports on any topic. It features two implementations - a workflow and a multi-agent architecture - each with distinct advantages.

Deep Agents with LangGraph

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The notebooks in this repository come from the following course https://learn.deeplearning.ai/courses/ai-agents-in-langgraph/

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AI Agents in LangGraph

Deep Agents CLI skill for LangGraph Deep Agents

Open-sourced self-improving deep agent that can run for 1+ hours to perform financial analysis