codex-synaptic
by clduab11
Distributed agent orchestration with swarm algorithms and BFT consensus
Summary
Implements a distributed agent orchestration layer that turns Codex for macOS instances into cooperative AI networks. It combines swarm intelligence algorithms (PSO/ACO/flocking) with neural mesh networking and Byzantine fault-tolerant consensus to coordinate autonomous agents. The stack is TypeScript-based and leverages Metal-accelerated computation for local performance-sensitive workloads. Sub-Agent Delegation Pattern and Agent Registry Pattern help structure how agents delegate tasks and maintain a trusted roster of collaborators.
Why It Matters
Best For
Experimental teams building decentralized multi-agent networks on macOS/Codex who need fault-tolerant coordination and local acceleration. Agent Protocol
Applications
- Orchestrating autonomous Codex instances into a resilient swarm for collaborative problem solving
- Evaluating agent reliability by observing BFT consensus outcomes and mesh network behavior
- Prototyping decentralized agent delegation and failure-mode scenarios before production
- Accelerating local agent computation on macOS using Metal for performance-sensitive tasks