A local MCP server that enables multiple AI coding tools to share structured project state (decisions, tasks, bugs) so they coordinate without re-explaining.
Centralized multi-project state & handoff MCP server that lets AI agents save checkpoints in one session and resume in another with minimal token overhead, including git snapshots and code-graph integration.
Local-first MCP server that persists AI coding agent memory and session context, enabling seamless resume across sessions with searchable memories and checkpoints.
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.