Agents
Decision-making systems that use LLMs to determine which actions to take
An index of the LangChain + LangGraph ecosystem: concepts, projects, tools, templates, and guides for LLM & multi-agent apps.
This page lists names, links and short descriptions. The original list on GitHub is the source and belongs to its authors.
Decision-making systems that use LLMs to determine which actions to take
Unified interfaces for LLMs and embedding models across providers
Structured communication format between components
External function calls and integrations for agents
Working memory for maintaining conversation context
Real-time response processing for partial results
Persistent memory that survives across sessions
Safety checks and policy enforcement for agent inputs, outputs, and tool usage
Techniques for optimizing prompts and context management
Generate responses in specific formats and schemas
Standardized tool integration and context sharing
Approval workflows and interrupt-based human oversight for sensitive agent actions
Coordinated systems with multiple AI agents
Advanced document retrieval and RAG patterns
Production deployment and runtime management
Custom processing layers and request/response modification
Pause graph execution for human input, review, and intervention
Validate graph behavior with unit and partial-execution testing patterns
Trace and debug graph execution with LangSmith
Break large tasks into manageable steps and track progress
Offload and manage large context through filesystem tools
Delegate work to specialized agents for context isolation
Persist useful information across threads and sessions
Add approval checkpoints for sensitive operations
Execute code in isolated environments when needed
Stream intermediate output and agent progress in real time
Extend agents with reusable, task-specific expertise
Deploy agents as production-ready Agent Servers
Gain visibility into each step your application takes to debug faster and improve reliability
Measure and track application quality over time
Iterate on prompts with built-in versioning and collaboration
Design, test, and refine applications end-to-end in a visual interface
Run code and tools in isolated execution environments
Create and manage agents without writing code
Bring context and actions into agents through app integrations
Use agents where your team already works
Run recurring tasks automatically
Keep humans in control for important operations
Extend agents with reusable task-specific behavior
AI-powered multi-agent system for medical diagnosis, research, and patient interaction, featuring LLMs, RAG, and human-in-the-loop validation
Multi-agent framework for automating genomic research and RNA sequencing workflows from scientific databases
Web automation agent with behavioral caching, DOM fidelity, and success pattern recording
Library for AI agents to control websites and automate tasks
High-performance serving engine for browser-augmented LLM applications with auto-scaling and OpenAI-compatible API
Visual editor for building scraping workflows with LangGraph, bulk scraping, and live streaming
News crawler that personalizes daily summaries with Tavily and memory
LangChain tool that screenshots any URL and returns a base64 image for multimodal LLM analysis. No signup required for basic use.
Marketing analysis agent with trend/sentiment analysis and report generation
Angular-native chat, durable threads, interrupts, subagents, planning, memory, and generative UI for LangGraph (and AG-UI) agents
GUI for ChatGPT/LLMs with agent support, web search, and knowledge base features
Multi-agent chat interface with travel/research examples and MCP servers
Self-hosted, MIT chat UI with file browser, canvas & human-in-the-loop for any LangGraph agent; one spec also runs on CLI, JupyterLab & VS Code
Streamlit RAG client with document management, semantic/hybrid search, and MCP integration
Azure Resource Management Assistant with multi-agent architecture for resource provisioning and ARM template validation
Web development coding agent for creating HTML/CSS/JavaScript projects and business landing pages
Development tool that uses LangGraph agents to aid coding workflow with natural language
Software engineering multi-agent system with researcher and developer agents for automated code implementation
Telegram bot that summarizes shared links using LangGraph and multi-tool extraction
Knowledge base + classification + Q&A for support teams (FAISS + RAG)
Multi-agent data analysis with visualization and report generation
Data agent framework for analysis, engineering, and visualization with LangChain integration
Automated data analysis workflows using LangGraph agents — end-to-end pipeline for dataset exploration, statistical analysis, and insight generation with LLMs
AI-powered data science team for common tasks
AI-powered diagnostic tool for analyzing and debugging scikit-learn machine learning models
Scientific research accelerator that analyzes datasets, generates hypotheses, and validates them through code
AI-powered patch diff analysis tool for automated code change review and security analysis
Simulated conversations to test assistants; LangSmith integration
Backend services and infrastructure for deploying and managing Deep Agents applications
Claude Code's compaction engine as a drop-in DeepAgents middleware
Toolkit for deploying agents with FastAPI and Streamlit
Agent kit with Blockchain/compute features
Infra for agent ↔ DB connectivity (security, observability, pooling)
Automation framework with web search, crawling, Python execution
Tenacious tool calling on LangGraph
Asynchronous utilities and extensions for LangChain enabling high-performance async workflows
Taxonomy generator for unstructured data
Modular RAG/Agentic RAG library for multiple providers
MCP integration toolkit for LangGraph agents
MCP-first agent framework (LangChain/LangGraph) over HTTP/SSE
LangGraph agent that auto-documents Jupyter notebooks in real-time as cells execute, via IPython hooks
Curated chains for structured brainstorming
Tool for converting Mermaid diagrams to animated GIFs with optional AI-powered diagram generation
Multi-LLM CLI tool with ReAct & Deep modes for code analysis, feature implementation, and bug fixing
Settlement protocol that hash-chains every LangGraph node execution into an immutable audit ledger with trust-tiered agent identities
Safe, human-in-the-loop terminal assistant built with LangChain that executes shell commands under human review and oversight
Interactive, editable documentation platform designed for coding agents — turns agent outputs into a live, queryable knowledge base
Real-time LangGraph execution visualizer — animates live agent graph traversal node-by-node with LangSmith/Langfuse tracing integration
Terminal debugger for LangGraph & LangChain agents — inspect state, tool calls, and semantic breakpoints with a Textual TUI and Python program stepping
Transforms plain Python functions into remote tools accessible by AI agents, simplifying tool-server creation for LangGraph and other agent frameworks
Intelligent follow-up question generation module for conversational LangGraph agents — improves dialogue continuity and user intent resolution
Persistent living-memory layer for AI agents — stores and retrieves context across sessions to support long-running agentic workflows
Context-optimization proxy layer for LLM applications — compresses token usage, manages context windows, and provides an OpenAI-compatible API for LangChain, MCP, and FastAPI stacks
Deterministic pre-execution safety certification for LangGraph agents with auditable certificates and constraint-based routing
Cryptographic signing for LangGraph workflows. Add tamper-proof audit trails with ML-DSA-44 post-quantum signatures to node outputs and state transitions.
LangChain integration for The Colony — the AI agent internet. Provides LangChain-native tools for agents to post, comment, vote, message, and interact on a social platform with 780+ AI agents.
Multi-agent trading system with LangChain
Stock research assistant with specialized analysis agents
IPO analysis agent with PDF parsing and market data enrichment
Bank statement parsing + personal finance analysis with multi-agent workflow
DeFi MCP server with 12 tools: real-time crypto prices, multi-chain wallet balances (9 chains), DEX quotes via Jupiter and Li.Fi, and token search across 275+ assets
VC due-diligence AI agent with debating sub-agents — a product analyst and market analyst argue opposing views before reaching a joint investment conclusion
Turns multi-modal content into podcast-style dialogues
Navigate and search across YouTube channel content
Voice agent with STT/TTS and web search in a React UI
Voice-controlled file manager with LangGraph ReAct
Flexible multi-agent framework for developing and deploying Embodied AI features in robotics with multi-modal interaction support
A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes
Agentic RAG with LangGraph + Qdrant
RAG with custom PDF parsing, parent retrieval, and reranking
LangGraph-powered legal PDF RAG service with hybrid vector+BM25 retrieval, streaming chat, and citation-aware answers with bounding-box references for highlighting.
Local RAG chat (Ollama) with sources and modern UI
Tutorial series on RAG from basics to advanced
Natural language graph analysis framework for querying graphs without complex query languages
Agentic workflow for intelligent GitHub repo discovery with hybrid retrieval and re-ranking
Deep research framework with search/crawl/Python tools
Multi-agent system for understanding research articles with AI-powered explanations and Swarm architecture
Research agent integrating personal KBs and external sources
Deep search agent with BAML, multi-provider scraping, async flows
Company research pipeline with streaming and filtering
Source evaluation and knowledge synthesis
Local deep research with multiple LLMs and web searches
Report-oriented research agent with citations
Agent for empirical experimentation in ML/systems
Academic paper discovery with S2 + RAPTOR indexing
Multi-agent biographical research system extracting structured timeline events from historical figures
R&D automation for data mining, paper analysis, model tuning
Steerable enterprise research stack with planner, specialized search agents, and web UI on LangGraph
Turns websites into LLM-ready research content with automated documentation indexing
Agentic company due-diligence tool powered by LangGraph and Tavily; multi-agent framework with Gemini/GPT for deep company research and financial analysis
Converts papers, text, or topics into editable research figures, technical route diagrams, and presentation slides using LangGraph agents
Autonomous red-team agent for authorized engagements, using LangGraph orchestration, sandboxed Kali tooling, OPPLAN/RoE workflow, and attack-graph memory.
Pre-action authorization guardrails for LangChain/LangGraph agents; checks tool calls against OAP policies before execution.
Fail-closed market status MCP. Pauses stateful LangGraph agents from entering retry loops during closed markets or DST shifts.
Local-first protocol for provenance & intent verification before agent actions (fail-closed, verifiable evidence).
Approval and audit layer for LangGraph agents. Intercepts tool calls, evaluates them against policies, and holds them for human review before execution. Hash-chain audit trail, 13 framework integrations. Apache 2.0.
Open-source Deep Agents implementation with Lovable platform integration for complex planning and execution workflows
FastAPI template for LangGraph agents (logging, persistence, security)
A comprehensive, hands-on collection of design patterns for building robust agentic AI systems using LangChain and LangGraph
FastAPI template with LangGraph + MCP and streaming UX
Template for WhatsApp agents with LangGraph and MCP
Production-ready multi-agent starter kit with 6 patterns (Supervisor, Swarm, HITL, Structured Output, Research, RAG), 5 LLM providers, MCP integration, CLI scaffolder, and Fastify server
Streamlit-based AI travel agent with weather, search, currency conversion, and YouTube integration tools
AI-powered educational platform for personalized learning experiences and tutoring assistance
Self-hosted AI personal assistant with Telegram integration, scheduled tasks, multi-provider LLM support, and MCP server integration
GenAI career assistant: a supervisor agent turns your CV + a job description into a tailored resume PDF, interview-prep doc, and day-of battlecard; runs as an MCP server and A2A endpoint
Meeting prep with calendars, search, and profile research
Deterministic calendar scheduling MCP server with LangGraph examples — datetime resolution, multi-calendar availability, and atomic booking
Email triage with attachment reading and reply drafting
Self-hosted second brain for docs and web
Bundle of search/productivity/data agents with UI
Fully extensible workplace AI platform for enterprise search and workflow automation; connects Gmail, Slack, Notion, Google Drive with LangGraph-powered agents and knowledge-graph RAG
Learn how to monitor and improve agents in production, track costs, analyze traces, and watch quality and latency over time.
Learn the essentials of agent observability and evaluations with LangSmith.
Learn the basics of LangGraph for building agentic and multi-agent applications with more precision and control.
Learn the fundamental characteristics of Deep Agents and implement your own Deep Agent for complex, long-running tasks.
Build an ambient email agent with LangGraph and evaluate it with LangSmith.
Build a deep research agent with LangGraph and evaluate its performance with LangSmith.
Start creating no-code agents for real work using everyday language.
Learn the essentials of LangSmith for continuous testing and improvement with live production data.
Learn LangGraph essentials in TypeScript by building an email workflow.
Learn LangGraph essentials in Python by building an email workflow.
Learn the core elements of LangChain in TypeScript, including create_agent, tools, MCP, streaming, and structured outputs.
Learn the core elements of LangChain in Python, including create_agent, tools, MCP, streaming, and structured outputs.
Practical LangGraph agent patterns. Instructor: emarco177.
Build a WhatsApp agent with voice processing, image generation, and long-term memory using LangGraph.
A collection of agent implementation examples and patterns.
Comprehensive Generative AI resource hub covering roadmaps, LangChain/LangGraph projects, RAG, multi-agent patterns, MCP, and interview/coding prep.
Several RAG implementations and step-by-step walkthroughs.
Step-by-step guide to adding live web search to a LangGraph agent: MultiServerMCPClient for all five tools with autonomous x402 USDC payments, or @tool-decorated functions over the REST API with a free key.
30 notebooks on agent memory: vector stores, knowledge graphs, episodic and semantic memory, Mem0, MemGPT/Letta, Zep, and Graphiti.
Hands-on RAG chatbot + travel planning agents with JavaScript and Elasticsearch.
Search & discovery and analytics use cases with text-to-SQL at LinkedIn.
Partnership details and production applications with LangChain.
Enterprise assistant enabling domain workflows in healthcare.
Building a React agent app for DevOps tasks using REST APIs.
Generative AI features for security workflows.
How Uber boosts developer productivity and code generation with AI.
Architecture documentation for code-generation workflows.
Production copilot for domain-specific tasks.
Customer support system built with LangGraph and LangSmith.
Clinical copilot for healthcare operations.
Product-embedded copilots in a real-estate platform.
Embedded product experiences, support, and copilots.
Agentic browser automation platform.
Research and summarization workflows in production.
Equity research using LangGraph + LangSmith agentic workflows.
Central hub for announcements, discussions, events, and channels to connect with the LangChain/LangGraph ecosystem.
Community discussion forum for asking questions, sharing ideas, and connecting with other LangChain and LangGraph builders.
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