HiveMind Protocol

I. Purpose // Why HiveMind Exists

HiveMind was built to solve a foundational flaw in modern AI systems: All memory is stored in the cloud. Enterprises upload their entire knowledge base — documents, logs, communications, even private data — into opaque remote vector databases.

HiveMind rejects this model entirely. It is a Local-First, Privacy-Preserving Architecture for Agentic RAG, designed so that context stays on your machine, your drive, your control.

II. EMUs — Encapsulated Memory Units

At the core of HiveMind are EMUs: portable context capsules containing:

• vectors.lance — the local vector index • metadata.json — semantic map & routing hints • config.yaml — mount logic + scope rules

EMUs behave like “knowledge containers.” They can be mounted, unmounted, shared, versioned, committed, forked — just like code. No monolithic databases, no cloud ingestion, no data surrender.

III. The Three-Layer HiveMind Stack

Layer 1: SLM Router
Tiny local models (Qwen 2.5, Phi 3, Gemma) classify intent, transform queries, and decide which EMUs to mount. Cheap, fast, private.

Layer 2: Local Vector Store
LanceDB handles hybrid search (semantic + keyword). Retrieval happens locally, not in the cloud.

Layer 3: Cloud Oracle
Large models perform pure inference — with zero memory of prior data. They see only the curated, routed chunks selected locally.

IV. Why HiveMind Is Different

• No monolithic vector databases • No uploading entire document sets • No persistent cloud memory • No vendor lock-in • Zero data leakage

HiveMind turns RAG into a distributed, air-gapped architecture where: Only the relevant tokens ever leave your machine.

V. Agentic Workflows

HiveMind integrates with LangGraph, allowing stateful multi-step agents to operate fully locally until the final inference stage. State is stored in EMUs, not in ephemeral cloud sessions.

VI. The Philosophy

HiveMind is a reminder of what the Internet was supposed to be:

• decentralized • local • user-owned • sovereign

AI should not require mass data surrender. Intelligence should run at the edge.