Central MCP server for storing and querying lessons learned and project-specific implementation details, compatible with MCP-capable AI clients like Cursor, Claude Code, and Google Antigravity.
MCP server that provides persistent memory and contextual awareness to language models, enabling project onboarding, recall of architectural rules, and code consistency across sessions.
MCP server for managing an OKF markdown knowledge base, enabling AI agents to query, read, write, and auto-sync architectural decisions and rules via Git.
MCP server for the Crosmos memory layer, enabling semantic, keyword, and graph retrieval of memories, as well as storing content with automatic entity and relation extraction.
MCP server for long-term project memory management, allowing AI agents to store and semantically search project milestones, decisions, and architecture specs via Supermemory vector store.