Edge Hive

Overview

Edge Hive brings Cognitive Hive AI to edge devices—from smartwatches to desktops. Instead of sending every request to the cloud, Edge Hive runs AI inference locally, providing privacy by default, offline capability, and reduced latency.

When local specialists can't handle a request with sufficient confidence, Edge Hive seamlessly falls back to cloud specialists—giving you the best of both worlds.

Local-First Architecture

Edge Hive follows a local-first philosophy:

• Process locally by default – Your data never leaves the device unless necessary
• Encrypted at rest – All beliefs, cache, and configuration use AES-256-GCM
• Confidence-based routing – Only escalate to cloud when local confidence is low
• Offline capable – Full functionality without internet connectivity
• Battery aware – Graceful degradation based on power state

Device Support

Edge Hive automatically adapts to device capabilities:

Supported Local Models

Edge Hive supports popular small language models in GGUF format with quantization:

Edge Specialists

Edge Hive includes specialized agents optimized for on-device processing:

Cognitive Loop

Every request flows through the Edge Hive cognitive loop:

1. Request Arrives

   User input or system event triggers the loop

2. Check Cache

   Look for cached responses to similar queries

3. Enrich Context

   Add user preferences, time, location from belief store

4. Find Best Specialist

   Route to the specialist with highest domain match

5. Confidence Check

   If confidence ≥ threshold: process locally. Otherwise: delegate to cloud

6. Cache & Learn

   Store successful responses, update beliefs from interaction

Security Implementation

Edge Hive implements comprehensive security at every layer:

// Each user gets isolated, encrypted storage
// macOS: ~/Library/Application Support/EdgeHive/users/{hash}/
// Linux: ~/.local/share/edge-hive/users/{hash}/
// Windows: %APPDATA%\EdgeHive\users\{hash}\

// Directory structure (all encrypted)
users/{user_hash}/
  ├── beliefs.enc      // Encrypted belief store
  ├── cache.enc        // Encrypted response cache
  ├── config.enc       // Encrypted configuration
  └── session.enc      // Encrypted session tokens

Using Edge Hive

use edge_hive::{EdgeHive, DeviceClass, LocalModel};

// Initialize Edge Hive with automatic device detection
let hive = EdgeHive::new()
    .with_model(LocalModel::auto())  // Auto-select based on device
    .with_fallback("wss://hive.example.com")
    .with_confidence_threshold(0.7)
    .build().await?;

// Authenticate user (derives encryption key)
hive.authenticate("user@example.com", password).await?;

// Process request - automatically routes local vs cloud
let response = hive.process("What's on my calendar today?").await?;

// Check if processed locally
if response.processed_locally {
    println("Handled by local specialist: {}", response.specialist);
    println("Inference: {} tokens/sec", response.tokens_per_second);
}