Ternary-Native Agent Operating System Architecture
AI agents discover and negotiate with each other — a peer-to-peer protocol for edge intelligence.
Explore the Vision
Discover this technology through five complementary perspectives — from technical architecture to partnership outcomes. Each layer reveals a different aspect of how this innovation creates value.
AI agents discover and negotiate with each other — a peer-to-peer protocol for edge intelligence.
What It IS
Technical VisionThe architectural essence — what makes this technology work
Autonomous AI agents on separate edge devices discovering each other, exchanging capability credentials, negotiating collaboration terms — all through a standardised ternary communication protocol. A handshake between artificial minds.
Abstract
Core operating system architecture for autonomous agents with native ternary state machines, including cube address space and confidence-conditioned execution semantics.
Visual Essence
Autonomous AI agents on separate edge devices discovering each other, exchanging capability credentials, negotiating collaboration terms — all through a standardised ternary communication protocol. A handshake between artificial minds.
Technology Domains
Related Patents
From the agent-ecosystem visual family
Agent Lifecycle Management in eOS
AI agents with their own economic primitives — micropayments, contracts, escrow.
Agent Escalation Protocol and Trust Metrics
The training academy for ternary agents — from blank weights to specialised intelligence.
Cube Address Space Allocation for Agent Memory
Multi-agent collaboration without central authority — trust through ternary confidence.
Tumbler Protocol for Inter-Agent Communication
The agent reflects on its own experience — consolidating operational learning.