HiveMind is a Local-First, Privacy-Preserving Architecture for Agentic RAG. Instead of dumping all your data into a monolithic cloud vector database, HiveMind routes requests through small local models, mounts only the context it needs, and keeps sensitive knowledge air-gapped by default.

At its core are EMUs (Encapsulated Memory Units) — portable context capsules that bundle vectors, metadata, and configuration into a single shareable unit. Mount an EMU, answer questions, unmount it. Ship project knowledge like code: commit, fork, diff.

Edge SLMs handle intent routing and filtering. A local vector store does retrieval. Cloud models act as a stateless oracle, not a mind that owns your memories. HiveMind is built for people who still believe data sovereignty matters.