Enables semantic search over personal study notes by exposing a vector search tool that Claude Desktop can call to retrieve relevant note content and synthesize grounded answers.
Provides semantic vector search over local codebases via MCP, enabling hybrid search (dense + sparse + RRF) for any MCP client like GitHub Copilot or Claude Desktop.
Provides persistent semantic memory for Claude Code via local embeddings and six MCP tools, enabling context storage and retrieval across sessions without cloud dependencies.