A storage-backed MCP server for sharing durable project context between trusted coding agents, with project discovery, optimistic concurrency, and timestamped handoffs.
An MCP server that lets multiple AI coding agents share state, preserve context across sessions, and coordinate via a knowledge graph, messaging, and branch-preserving checkpoint/resume with conflict handling.
A shared memory MCP server for AI agents that provides persistent, semantic memory across sessions and tools, enabling long-term recall and context sharing.
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.
An MCP server that extends AI agents' context window by providing tools to store, retrieve, and search memories, allowing agents to maintain history and context across long interactions.