AG2 (formerly AutoGen): The Open-Source AgentOS. Join us at: https://discord.gg/sNGSwQME3x
-
Updated
Feb 6, 2026 - Python
AG2 (formerly AutoGen): The Open-Source AgentOS. Join us at: https://discord.gg/sNGSwQME3x
Building a Secure and Interoperable Future for AI-Driven Payments.
Official Python SDK for the Agent2Agent (A2A) Protocol
An event-driven framework designed to build and orchestrate multi-agent AI systems. It enables seamless integration of AI agents with real-world data sources and systems, facilitating complex, multi-step workflows.
A single interface to use and evaluate different agent frameworks
A decentralized agent network for building collaborative, LLM-powered agent-to-agent (A2A) systems.
Bindu: Turn any AI agent into a living microservice - interoperable, observable, composable.
The A2A x402 Extension brings cryptocurrency payments to the Agent-to-Agent (A2A) protocol, enabling agents to monetize their services through on-chain payments. This extension revives the spirit of HTTP 402 "Payment Required" for the decentralized agent ecosystem.
A production-ready runtime framework for agent apps with secure tool sandboxing, Agent-as-a-Service APIs, scalable deployment, full-stack observability, and broad framework compatibility.
Enterprise-ready MCP Gateway & Registry that centralizes AI development tools with secure OAuth authentication, dynamic tool discovery, and unified access for both autonomous AI agents and AI coding assistants. Transform scattered MCP server chaos into governed, auditable tool access with Keycloak/Entra integration.
C2S Agent is an lightweight AI Agent construction platform that provides configurable online Agents and MCP services, You can configure any HTTP request interface as an MCP tool. C2S Agent 是一个轻量级的AI Agent构建平台,提供在线可配置的Agent,MCP,您可以一个HTTP请求的接口配置成为一个MCP工具,Agent之间可以进行自交流。并提供了单端口多A2A服务,MCP服务的解决方案
NL2SQL - Ask questions in plain English, get SQL queries and results. Powered by LangGraph.
A practical fork of github/spec-kit with patterns & templates for building scalable multi-agent AI systems. Ships production-ready stacks faster with OpenAI Agents SDK, MCP, A2A, Kubernetes, Dapr, and Ray. It also explicitly treats specifications, architecture history, prompt history, tests, and automated evaluations as first‑class artifacts.
Multi-Agent Systems with Google's Agent Development Kit + A2A + MCP
AgentX python SDK. Build multi-agent AI workforce.
A2A Protocol client and developer toolkit.
Add a description, image, and links to the a2a topic page so that developers can more easily learn about it.
To associate your repository with the a2a topic, visit your repo's landing page and select "manage topics."