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 AI assistants with persistent memory across sessions using local SQLite and keyword search, allowing storage and retrieval of user preferences, project context, and decisions.
A personal, offline-first memory for AI assistants that enables them to read, search, and write to a shared folder of Markdown files, so they all remember you without needing a cloud.
Provides persistent local memory functionality for AI assistants, enabling them to store, retrieve, and search contextual information across conversations with SQLite-based full-text search. All data stays private on your machine while dramatically improving context retention and personalized assistance.
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.
