Official Python SDK for the Agent2Agent (A2A) Protocol
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Updated
Dec 5, 2025 - Python
Official Python SDK for the Agent2Agent (A2A) Protocol
Deploy and share agents with open infrastructure, free from vendor lock-in.
Aser is a lightweight, self-assembling AI Agent frame.
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.
AgentX python SDK. Build multi-agent AI workforce.
Instead of dumping 1000+ tools into a model’s prompt and expecting it to choose wisely, the Unified MCP Tool Graph equips your LLM with structure, clarity, and relevance. It fixes tool confusion, prevents infinite loops, and enables modular, intelligent agent workflows.
Cloud-native AI agents orchestration platform. Build agent networks in no code, bring your own agents or connect one with A2A and MCP. Both self-hosted and Cloud-hosted.
An A2A Protocol client TUI and CLI.
Cognisphere ADK is an AI agent development framework built on Google's Agent Development Kit (ADK)
Azure-native A2A Technology Demonstrator
kbs_agent_a2a 智能体协议适配中间件
Scan A2A agents for potential threats and security issues
A community-driven, open-source directory of live, hosted AI agents using the A2A Protocol
🐇 The 'RabbitHole' framework provides the tools for asynchronous A2A communication and task management. 📡🐇 ✨ Build powerful AI agents that communicate and collaborate.
Build and deploy an autonomous Devto Agent capable of interacting with the Dev.to platform, powered by A2A (Agent-to-Agent) and MCP (Model Context Protocol)
A2A protocol demo: Orchestrated AI agents for retail using Google ADK, LangGraph, and Vertex AI Search
A cookiecutter template for Python agent projects that use uv for dependency management
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