A local-first MCP server for AI coding agents that shares structured execution state, routes context deltas, and provides preflight nudges to prevent conflicts and stale decisions.
A Model Context Protocol (MCP) server that enables multiple AI agents to share memory, coordinate tasks, and collaborate effectively across IDEs and CLI tools.
A local MCP server that connects AI coding agents like Claude, Codex, and Gemini, enabling task routing, cross-model debates, and token-efficient context sharing without external APIs.
A local MCP server that enables multiple AI coding tools to share structured project state (decisions, tasks, bugs) so they coordinate without re-explaining.
A vendor-neutral MCP server that enables coding agents to delegate tasks, share context, and work as a team through a shared blackboard and task queue.
Shared memory MCP server for AI coding agents, enabling context sharing across sessions with local SQLite or cloud-based semantic search, compatible with Claude Code and Cursor.