Memory
Exposes local persistent memory as a server for AI agents to access and utilize knowledge.
Acerca de
Memory is a project that transforms local persistent memory into an MCP server, making it instantly accessible to Claude and other MCP-compatible AI agents. It leverages a robust system for knowledge management, including Markdown and YAML Front Matter for storage, PARA (Projects/Areas/Resources/Archives) for organization, and Zettelkasten principles (UID, backlinks, link integrity) for powerful connections. Enhanced search capabilities with SQLite FTS5 and a link graph are complemented by an Olima context-based reranking and recommendation engine, allowing for intelligent knowledge retrieval and association.
Características Principales
- Stores knowledge in Markdown with YAML Front Matter
- Organizes information using the PARA (Projects/Areas/Resources/Archives) method
- Connects notes via Zettelkasten principles, including UIDs, backlinks, and link integrity
- Provides advanced search with SQLite FTS5 and a link graph (extensible to embedding similarity)
- Enables contextual association and recommendation using the Olima engine
- 1 GitHub stars
Casos de Uso
- Enhancing AI agent capabilities with context-based memory access and recall
- Providing a personal, persistent knowledge base for AI agents
- Integrating structured and connected notes with AI-driven workflows