Enables AI agents to maintain a self-hosted typed knowledge graph on Postgres and pgvector over MCP, with deduplicating writes, hybrid retrieval, and database-enforced isolation.
A privacy-first memory layer for AI that securely bridges local knowledge with AI assistants through MCP tools, with intelligent redaction and local vector database.
A local-first MCP server that lets AI agents use gated APIs without holding keys, enforcing declarative policies, injecting secrets server-side, and auditing access without content.
Zero-trust local MCP bridge that exposes read-only database tools and structured book navigation to AI agents, with two-tier PII redaction and MPS audit integration.
Enables MCP clients to read and write into a self-hosted personal knowledge base built from imported chats, documents, and notes, with a knowledge graph and AI-powered enrichment.
Enables AI tools to securely search and retrieve relevant, source-attributed chunks from private local documents via MCP, without sending document content to third-party services.