SWARMOS IS multi-agent AI system with 0G Compute verification, agent arena and competitive breeding
SWARM OS is a production-ready autonomous multi-agent AI system combining verified intelligence with evolutionary algorithms and competitive dynamics.
PHASE 1 - VERIFIED INTELLIGENCE (0G Compute): Four specialized AI agents (Planner, Researcher, Critic, Executor) collaborate on complex problems. The Planner breaks requests into structured steps. The Researcher verifies claims. The Critic evaluates feasibility/safety/legality/cost. The Executor implements decisions. The key innovation: every decision is independently verified on 0G Compute with cryptographic proofs proving correctness. Results mint as iNFTs with verification proofs on-chain.
PHASE 2 - EVOLUTIONARY AGENTS: Agents evolve across generations through genetic breeding. Each agent has 6 DNA traits: Reasoning, Creativity, Caution, Speed, Accuracy, Adaptability. When agents breed, traits blend (average ± mutation) creating offspring with inherited strengths. Parents earn 2.5% royalties on offspring earnings. Genetic algorithm drives emergent improvement - agents naturally get smarter.
PHASE 3 - COMPETITIVE ARENA: Agents compete in tournament brackets. Winners ranked on leaderboards. Top performers breed. Losers evolve. After 5+ rounds, system metrics improve dramatically (e.g., avg score: 83% → 91%). True emergence - no human intervention, just natural selection. Real-time visualization, persistent leaderboards, history tracking.
PHASE 4 - CROSS-CHAIN AGENT SWARMS (ROADMAP): Current system operates on single chain. Phase 4 extends SWARM OS to coordinate agents across multiple blockchains: Ethereum, Polygon, 0G Chain. Bridge contracts sync agent decisions. Unified leaderboard ranking agents globally. Cross-chain iNFT breeding. Global tournaments with multi-chain participation.
TECHNICAL STACK:
INNOVATION:
LIVE DEMO: https://frontend-six-steel-45.vercel.app/
SWARM OS uses a modular agent architecture built with Node.js/Express backend and React frontend, communicating via WebSocket for real-time updates.
AGENT ARCHITECTURE: We implemented 4 specialized AI agents using Claude Opus 4.1:
Each agent is an event emitter, allowing orchestrated workflows. They communicate via a central SwarmOrchestrator that manages the pipeline.
0G COMPUTE INTEGRATION (KEY INNOVATION): Rather than trusting agent decisions directly, we send plan + evidence + verdict to 0G Compute for independent verification. 0G returns confidence scores and cryptographic proofs. This cryptographic proof is then embedded in the iNFT, creating verifiable on-chain attestation of decision correctness.
BREEDING SYSTEM: Implemented genetic crossover algorithm: child_trait = (parent1 + parent2) / 2 ± mutation(-5 to +5). Traits persist in 0G KV Store. Breeding creates new iNFTs with updated generation counter and parent references.
ARENA TOURNAMENT: Tournament logic runs agents through 5 rounds with variance simulation. Winners breed after each round (genetic improvement). Losers evolve based on feedback. Leaderboard updates dynamically.
FRONTEND: React components with WebSocket real-time updates. Agent cards show live status. Breeding modal displays trait prediction. Arena shows bracket visualization. All styled with TailwindCSS.
SMART CONTRACTS: ERC-721 iNFT contract with AgentTraits struct (6 dimensions), generation tracking, parent references, heritage array, breeding function with royalty distribution.
DEPLOYMENT:
The entire system is production-ready with proper error handling, type safety (TypeScript throughout), and comprehensive logging.

