Provides AI agents with persistent, long-term memory via OKF-formatted markdown and SQLite indexing, enabling stateful storage, retrieval, and search across sessions.
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.
Provides a hybrid memory architecture with a thin SQLite index and Markdown cold storage, enabling AI agents to write, query, link, and rebuild long-term memories via MCP tools, model-agnostic and zero third-party dependencies.
Provides persistent long-term memory for AI assistants with tag-based retrieval, wiki-style linking, and source references, storing memories as markdown files with SQLite index.
Provides long-lived, cross-project technical memory for AI agents via markdown cards stored in git and indexed by SQLite, enabling search, retrieval, and human-reviewed knowledge management.
Provides persistent, local-first memory for coding agents with Markdown as the source of truth, exposed via CLI, loopback API, MCP, and Codex hooks for context retrieval and durable writes.