Enables AI agents to collaborate in shared rooms with people, managing room presence, message delivery, and automatic agent registration via MCP tools.
Enables multiple local AI desktop applications to exchange MCP messages and collaborate through a shared JSONL room file, with role-based routing, history, and audit session tools.
A command-line interface application that enables interaction with LLMs through document retrieval, command-based prompts, and extensible tool integrations using the Model Control Protocol architecture.
A shared MCP hub that enables multiple coding-agent CLIs to register, discover, and communicate asynchronously via a standalone daemon. It provides MCP tools for agent registration, session management, non-blocking messaging, and cursor-based event reading.