A local-first MCP server and continuity control plane that helps AI coding tools maintain project state, tasks, and context across sessions, models, and interruptions, with features like session tracking, token-efficient context assembly, and code understanding via Code Atlas.
A state persistence layer that enables seamless handoffs between different AI coding assistants by maintaining a shared context bus. It provides tools for tracking summaries, next steps, and active files to ensure continuity across development sessions.
Shared memory and orchestration for coding agents, enabling persistent knowledge, multi-agent coordination, and a canonical workflow across MCP-compatible AI clients.
A portable MCP server that provides a shared persistent working state for AI coding agents, managing tasks, plans, notepads, memory, and project rules across different tools like Claude Code, OpenCode, and Cursor.
A local MCP server that enables multiple AI coding tools to share structured project state (decisions, tasks, bugs) so they coordinate without re-explaining.