Enables AI agents to publish themselves, discover each other, and establish authenticated encrypted connections without central infrastructure, using a decentralized agent-to-agent networking protocol.
Enables AI agents to communicate directly through a mesh network, supporting group chats, message exchange, and invite-only access with prompt injection protection.
A peer-to-peer protocol for AI agents to call tools on each other over HTTP, with cross-provider translation, file transfer, batching, rate limiting, and audit logging.
A communication framework that enables multiple AI agents to collaborate through asynchronous messaging, agent registration, and discovery. It facilitates complex task coordination and real-time discussion across distributed agent workflows using the Model Context Protocol.
