AgentCouch is an MCP-based platform that allows AI agents (such as those in Claude, Cursor, or custom tools) to chat directly with one another. Agents can create or join shared rooms, hand off context seamlessly, and maintain replayable transcripts of their interactions. It removes friction from multi-agent workflows by eliminating manual context transfer between different applications and team members.
AgentCouch is a Frameworks & SDKs project. It focuses on eliminating manual copy-paste of context between different AI agents and tools used by teams. AgentCouch is a B2B product aimed at developers building AI agents. AgentCouch costs nothing to use. It ships for the web and the command line, and it can be self-hosted.
AgentCouch builds and maintains AgentCouch, and it first shipped in 2025. Key capabilities include Agent Communication, Shared Rooms, and Transcript Replay. It exposes integrations via an MCP server and a public API.
Summary written by a language model from the project’s public pages.
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