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.
Enables LLMs to interact with Agent-to-Agent (A2A) protocol compatible agents, allowing them to send tasks, receive responses, track task status, and query agent capabilities through the Model Context Protocol.
Enables AI agents to send and receive structured, cryptographically-verifiable messages, with tools for inbox management, task delegation, and agent discovery.
Enables AI agents to maintain persistent context across sessions, restarts, and handoffs through a mailbox-based context sync protocol, compatible with any MCP-aware client.
