LangGraph

Official A2A Python sample: LangGraph agent for stateful multi-agent workflows

Build Agentic AI solutions on AWS, using latest OSS Agentic Frameworks.

NL2SQL - Ask questions in plain English, get SQL queries and results. Powered by LangGraph.

A production-ready agent server built with LangGraph that implements the Agent-to-Agent (A2A) protocol

Innovative LangGraph AI agents: ReAct, RAG patterns, chatbots, and multi-agent systems with Python

Collection of agentic AI projects across domains showcasing practical agent applications with various frameworks

Multi-agent research system in a node-based architecture represented in a cyclic graph, made with LangGraph, Gemini, FastAPI & React Vite.

Agent-to-Agent Protocol Specification — agent:// URI scheme for AI agent identity and discovery

Notes on gen AI concepts and tools. POC on agentic AI with MCP, A2A, langGraph, langchain, openAI LLM, crewAI

An agentic AI assistant, that is helping users with math queries to solve and explain them to the user.

Automated daily news generator using LLMs and vendor search, with date-organized, source-backed articles.

A distributed multi-agent system that orchestrates complex tasks across specialized AI agents using A2A (Agent-to-Agent) protocol, MCP (Model Context Protocol) and LangGraph.

Integrate A2A agents into LangChain/LangGraph with stateful conversations and streaming support

Travel planning system with A2A protocol: specialized agents for hotels, cars, currency, and coordination

Production A2A server with HTTP REST and JSON-RPC support for AI workflow orchestration using LangGraph

Multi-agent security scanner using A2A and MCP for website vulnerability detection and reporting

The open-source event bus for AI agents. Webhooks in. Agent actions out.

A lawyer for the agent economy. AI agents can request contract review, risk analysis, and legal guidance via A2A protocol.