Enables semantic search across conversation archives via MCP, allowing AI clients to retrieve relevant past conversations using vector embeddings and text fallback.
Enables AI tools to access and contribute to shared semantic memory, supporting search, capture, and curation of knowledge across multiple brains via the MCP protocol.
A local-first personal RAG memory system that turns AI conversation history into a searchable, retrievable knowledge base via MCP, enabling LLMs to semantically search past conversations.