Basic Memory

Stores all data as Markdown files on your local machine, ensuring full ownership and privacy without mandatory cloud dependencies, as highlighted in the Local-First Storage feature.

Uses the Model Context Protocol (MCP) to enable bi-directional flow with LLMs like Claude, allowing natural conversation to read and write to the knowledge base without special prompting.

Automatically extracts entities, observations, and relations from Markdown to create a traversable semantic network, demonstrated in the coffee brewing example with linked topics.

Combines full-text and semantic vector search using FastEmbed embeddings, providing accurate retrieval by both keywords and meaning, as noted in the v0.19.0 update.