Persistent graph-based memory for AI agents, stored as plain markdown — no vector DB. Typed nodes and 11 relation types via 5 MCP tools (search, get, create, link, related), stdio and HTTP/SSE transports.
A personal knowledge graph and memory system for AI assistants using SQLite with FTS5 full-text search, enabling persistent memory across conversations with Claude or any MCP-compatible AI.
Provides local-first persistent memory with a typed knowledge graph and bounded multi-hop retrieval via MCP, letting coding agents and local LLM systems store, search, and recall facts across sessions without hosted services or model dependencies.
A local-first MCP memory server that stores facts in SQLite with FTS5 full-text search, supports projects and pinned records, and optionally syncs to Obsidian, all without external API calls.
Local-first memory server that stores notes, contacts, and future data as a unified entity graph, providing hybrid retrieval (vector + keyword) for AI assistants via MCP.
Builds a persistent knowledge graph from notes and conversations, enabling semantic search, entity exploration, and GTD task management from any MCP-compatible AI assistant.
