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AIA AGENTS (Adaptive Intelligence Assistants)

Client-side secure agents running on user devices with full local data access and privacy-first design.

Key Features

  • Cross-platform compatibility (Windows, macOS, Linux, iOS, Android)
  • Full local data access with RAG (Retrieval-Augmented Generation) capabilities
  • Hardware-adaptive: 500MB mobile to 16GB server configurations
  • Privacy-first: All sensitive processing happens locally
  • Adaptive learning: Continuously fine-tunes on user interactions

Technical Architecture

Core Engine

  • Local LLM: Quantized version of Genome model (4-bit or 8-bit quantization)
  • Vector Database: Local embeddings for RAG (ChromaDB, FAISS, or Milvus)
  • Context Manager: Maintains conversation history and user preferences
  • Task Executor: Handles actions (scheduling, searches, file operations)

Data Processing Pipeline

  1. User query received → Context retrieval from local vector DB
  2. Local LLM generates response using retrieved context
  3. If computation-heavy: Prepare privacy-preserving query for Genome
  4. Apply differential privacy noise to query embeddings
  5. Submit encrypted query to blockchain via smart contract
  6. Receive result and post-process locally

Privacy-Preserving Contribution

  • Gradient Computation: Calculate model gradients on local data
  • Differential Privacy: Add calibrated Gaussian noise (ε=1.0, δ=1e-6)
  • Secure Aggregation: Use secure multi-party computation protocol
  • Anonymous Submission: Submit through mixnet or onion routing
  • Zero-Knowledge Proofs: Prove computation correctness without revealing data

Hardware Adaptation

  • Edge Devices (Mobile): Ultra-lightweight model (<500MB), quantized inference
  • Desktop/Laptop: Standard model (2-4GB), full RAG capability
  • Server: Full model (8-16GB), can act as validator node
  • Auto-scaling: Adjusts model size and features based on available resources

Security Measures

  • Encrypted Storage: All local data encrypted at rest (AES-256)
  • Secure Enclaves: Use TEE (Trusted Execution Environment) when available
  • Code Signing: All updates digitally signed by DAO-approved keys
  • Sandboxing: Agent runs in isolated environment
  • Audit Logging: Local tamper-proof logs of all blockchain interactions