Open platform for AI agent networks — semantic discovery, a secure broker, and multidirectional agent-to-agent communication with Google A2A protocol support. Async Python (FastAPI), Postgres, Qdrant, Redis.

End-to-end encrypted communication for AI agents. The security layer that Google A2A forgot.

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

A collection of Google A2A agents and clients, deployed on Cloud Run or Railway.

A2A protocol enables agent communication. AXME adds durable lifecycle, retries, timeouts, and human checkpoints.

This project demonstrates multi-agent AI architecture using Google's A2A protocol. ResearchAgent searches arXiv papers & delegates summarization to SummarizerAgent via Agent Cards & Tasks, showcasing distributed agent collaboration beyond monolithic LLM calls.

Exploring Google’s A2A AI System: Agent-to-Agent Workflows, Routing, and Conversation History

Cross-device Agent-to-Agent communication bridge for OpenClaw, powered by Google A2A Protocol

A .NET library that enables ASP.NET Application to host Agent2Agent Server following Google's A2A protocol

Enterprise-grade TypeScript implementation of Google's Agent-to-Agent (A2A) protocol with a bidirectional A2A ↔ MCP bridge, OAuth2/JWT auth, Redis/Postgres persistence, SSE streaming, and OpenTelemetry observability.

MCP server for agent-to-agent communication — capability discovery, task delegation, and result aggregation across MCP agents

AgentCard — standardized identity & capability schema for AI agents. Rust reference implementation: github.com/kwailapt/aevum/tree/main/crates/agent-card