Enables AI agents to maintain a persistent, queryable memory stored as user-owned Markdown files, with dual-channel retrieval (FTS5 and optional semantic search) and an audited write pipeline.
Local-first, cross-session context store that reduces token usage by saving facts, decisions, and preferences, and recalling them in later sessions with token-efficient ranking and compression.
Provides AI agents with persistent, long-term memory via OKF-formatted markdown and SQLite indexing, enabling stateful storage, retrieval, and search across sessions.
A local-first shared memory layer for MCP-aware agents like Claude, Codex, and Hermes, enabling persistent memory across chats and clients via Markdown files and SQLite FTS.