Local-first semantic memory server with project indexing for AI assistants. It enables AI assistants to store, retrieve, and search memories and project code using embeddings and vector search.
Provides AI assistants with long-term semantic memory capabilities through local vector-based storage. Enables storing, recalling, and managing information across sessions with complete privacy using ChromaDB, with no data ever leaving your machine.
A privacy-focused local memory server that provides long-term semantic storage and retrieval for AI agents using SQLite and ChromaDB. It enables LLMs to persist and query text, chat histories, and PDF documents across sessions through the Model Context Protocol.
A persistent memory server that stores and retrieves atomic coding insights like architectural decisions and debugging patterns for AI agents. It enables agents to maintain institutional knowledge across sessions using semantic search and local SQLite storage.