Provides a persistent, cross-tool memory layer for AI coding agents via MCP, enabling storage and retrieval of decisions, preferences, and context across different tools and models.
Enables agents to access a shared portable vault for memory, skills, and API credentials through MCP, so tools can store and retrieve memories, read versioned skill playbooks, and make server-side API calls without exposing secret keys.
Enables AI agents to read, write, search, and manage persistent, decentralized context memory via a GCS-backed MCP server, with tools for document storage, retrieval, and STIM protocol nuggets.
Provides shared long-term memory for AI coding agents via MCP, allowing tools like Claude Code and Codex to store and retrieve distilled facts, notes, and conversation history to persist context across sessions.