Gives every AI agent on a machine a shared, local-first long-term memory: 16 tools to save, search, edit and organize structured notes in one SQLite file, with attribution per client. Runs over stdio or localhost HTTP, so Claude Code, omp and any other MCP client recall the same facts, decisions and entities.
Enables a personal graph-based memory system with CLI, HTTP API, and MCP interfaces for storing nodes, relationships, documents, and attachments. It provides local, scriptable alternatives to Obsidian/Engram with SQLite FTS5 search and integration with other tools via MCP.
Local-first MCP server for indexing and searching research materials (papers, notes, logs, READMEs) using SQLite FTS, with tools for memory management and evidence retrieval.
Enables any MCP-capable AI client to search and write a local-first personal memory store backed by one SQLite file, fusing FTS5 keyword and locally computed vector search over records and git-tracked markdown knowledge pages. An optional authenticated HTTP mode shares the same memory across agents and devices without any cloud dependency.