{
  "platform": "H11I",
  "generation": "game-changer-v2",
  "extraction": {
    "root": "H11I_Ecosystem_v1.0/H11I_Ecosystem_v1.0",
    "runtime": "h11i/agent_runtime.py",
    "planner": "src/engine/cognitive_planner.py",
    "mode": "code-extracted-and-bound",
    "compatibility": "legacy aliases preserved",
    "theorem_bindings": "src/platform/canonical_theorem_bindings.json",
    "corpus_pages": 14781,
    "validation_mode": "doctrine-separated-from-guarded-computation"
  },
  "count": 11,
  "agents": [
    {
      "name": "H11I-ORACLE",
      "role": "Acquire, triangulate, rank, and preserve evidence with provenance and freshness scoring",
      "category": "canonical-intelligence",
      "source": "H11I_Ecosystem_v1.0/H11I_Ecosystem_v1.0/h11i/agent_runtime.py",
      "priority": 12,
      "canonical_identity": "Evidence and provenance intelligence",
      "aliases": [
        "H11I-EVIDENCE"
      ],
      "capabilities": [
        "multi-source acquisition",
        "provenance lineage",
        "freshness scoring",
        "conflict detection",
        "evidence ranking"
      ],
      "doctrine": "No claim advances without traceable evidence.",
      "intelligence_generation": "game-changer-v2",
      "version": "2.0",
      "extraction_root": "H11I_Ecosystem_v1.0/H11I_Ecosystem_v1.0",
      "source_modules": [
        "h11i/retrieval.py",
        "h11i/ingestion.py",
        "h11i/lineage.py",
        "h11i/uncertainty.py"
      ],
      "bound_engines": [
        "RetrievalRouter",
        "KnowledgeIngestion",
        "LineageStore",
        "EvidenceAggregator"
      ],
      "runtime_state": "enhanced-active"
    },
    {
      "name": "H11I-PRISM",
      "role": "Decompose requests across Unified-33 domains and activate the smallest sufficient expert set",
      "category": "canonical-intelligence",
      "source": "H11I_Ecosystem_v1.0/H11I_Ecosystem_v1.0/h11i/agent_runtime.py",
      "priority": 13,
      "canonical_identity": "Unified-domain activation intelligence",
      "aliases": [
        "H11I-DOMAIN"
      ],
      "capabilities": [
        "domain decomposition",
        "cross-domain routing",
        "nullification",
        "dependency mapping",
        "expert activation"
      ],
      "doctrine": "Illuminate every relevant domain without adding noise.",
      "intelligence_generation": "game-changer-v2",
      "version": "2.0",
      "extraction_root": "H11I_Ecosystem_v1.0/H11I_Ecosystem_v1.0",
      "source_modules": [
        "h11i/umdoe.py",
        "h11i/umdnc.py",
        "h11i/domain_packs.py",
        "h11i/domains.py"
      ],
      "bound_engines": [
        "UnifiedDomainEngine",
        "DomainNetwork",
        "DomainPackRegistry"
      ],
      "runtime_state": "enhanced-active"
    },
    {
      "name": "H11I-ATLAS",
      "role": "Construct the governed world model from memory, session state, environment, and constraints",
      "category": "canonical-intelligence",
      "source": "H11I_Ecosystem_v1.0/H11I_Ecosystem_v1.0/h11i/agent_runtime.py",
      "priority": 14,
      "canonical_identity": "State and context world-model intelligence",
      "aliases": [
        "H11I-CONTEXT"
      ],
      "capabilities": [
        "context assembly",
        "state modeling",
        "memory fusion",
        "entity continuity",
        "environment grounding"
      ],
      "doctrine": "Every answer begins from the correct world state.",
      "intelligence_generation": "game-changer-v2",
      "version": "2.0",
      "extraction_root": "H11I_Ecosystem_v1.0/H11I_Ecosystem_v1.0",
      "source_modules": [
        "h11i/aion.py",
        "h11i/apex.py",
        "h11i/digital_twin.py",
        "h11i/storage.py"
      ],
      "bound_engines": [
        "AIONRuntime",
        "ContextFrameBuilder",
        "DigitalTwinContinuum"
      ],
      "runtime_state": "enhanced-active"
    },
    {
      "name": "H11I-DELTA",
      "role": "Measure uncertainty, contradiction, drift, anomaly, and decision sensitivity",
      "category": "canonical-intelligence",
      "source": "H11I_Ecosystem_v1.0/H11I_Ecosystem_v1.0/h11i/agent_runtime.py",
      "priority": 15,
      "canonical_identity": "Uncertainty and anomaly intelligence",
      "aliases": [
        "H11I-DIVERGENCE"
      ],
      "capabilities": [
        "uncertainty calibration",
        "contradiction analysis",
        "anomaly detection",
        "sensitivity analysis",
        "critical-boundary detection"
      ],
      "doctrine": "Expose what could make the answer wrong.",
      "intelligence_generation": "game-changer-v2",
      "version": "2.0",
      "extraction_root": "H11I_Ecosystem_v1.0/H11I_Ecosystem_v1.0",
      "source_modules": [
        "h11i/equations.py",
        "h11i/uncertainty.py",
        "h11i/apex.py"
      ],
      "bound_engines": [
        "DivergenceAnalysis",
        "EvidenceAggregator",
        "MetaCognitionEngine"
      ],
      "runtime_state": "enhanced-active"
    },
    {
      "name": "H11I-AEGIS",
      "role": "Enforce hard limits, soft constraints, privacy boundaries, and reversible safety controls",
      "category": "canonical-intelligence",
      "source": "H11I_Ecosystem_v1.0/H11I_Ecosystem_v1.0/h11i/agent_runtime.py",
      "priority": 16,
      "canonical_identity": "Constraint and safety intelligence",
      "aliases": [
        "H11I-LIMIT"
      ],
      "capabilities": [
        "constraint solving",
        "privacy boundaries",
        "risk limits",
        "permission gates",
        "safe degradation"
      ],
      "doctrine": "Power remains bounded, governed, and reversible.",
      "intelligence_generation": "game-changer-v2",
      "version": "2.0",
      "extraction_root": "H11I_Ecosystem_v1.0/H11I_Ecosystem_v1.0",
      "source_modules": [
        "h11i/security_architecture.py",
        "h11i/privacy.py",
        "h11i/policy_engine.py",
        "h11i/contracts.py"
      ],
      "bound_engines": [
        "UnifiedLimitEngine",
        "PrivacyGuard",
        "PolicyEngine",
        "ContractValidator"
      ],
      "runtime_state": "enhanced-active"
    },
    {
      "name": "H11I-ZENITH",
      "role": "Fuse specialist outputs into calibrated consensus, confidence, and decision momentum",
      "category": "canonical-intelligence",
      "source": "H11I_Ecosystem_v1.0/H11I_Ecosystem_v1.0/h11i/agent_runtime.py",
      "priority": 17,
      "canonical_identity": "Consensus and metacognitive intelligence",
      "aliases": [
        "H11I-APEX"
      ],
      "capabilities": [
        "consensus fusion",
        "confidence calibration",
        "metacognition",
        "priority arbitration",
        "decision convergence"
      ],
      "doctrine": "Converge only when evidence and confidence justify it.",
      "intelligence_generation": "game-changer-v2",
      "version": "2.0",
      "extraction_root": "H11I_Ecosystem_v1.0/H11I_Ecosystem_v1.0",
      "source_modules": [
        "h11i/apex.py",
        "h11i/evaluation.py",
        "h11i/reasoning_graph.py"
      ],
      "bound_engines": [
        "ConsensusController",
        "MomentumEngine",
        "MetaCognitionEngine"
      ],
      "runtime_state": "enhanced-active"
    },
    {
      "name": "H11I-CHRONOS",
      "role": "Model time, sequence, cycles, deadlines, drift, and future-state stability",
      "category": "canonical-intelligence",
      "source": "H11I_Ecosystem_v1.0/H11I_Ecosystem_v1.0/h11i/agent_runtime.py",
      "priority": 18,
      "canonical_identity": "Temporal and forecasting intelligence",
      "aliases": [
        "H11I-TEMPORAL"
      ],
      "capabilities": [
        "temporal reasoning",
        "forecasting",
        "cycle detection",
        "deadline analysis",
        "stability projection"
      ],
      "doctrine": "Every state is understood across time.",
      "intelligence_generation": "game-changer-v2",
      "version": "2.0",
      "extraction_root": "H11I_Ecosystem_v1.0/H11I_Ecosystem_v1.0",
      "source_modules": [
        "h11i/acros.py",
        "h11i/acros_engines.py",
        "h11i/scheduler.py"
      ],
      "bound_engines": [
        "ChronoTemporeLoopEngineV2",
        "TemporalForecast",
        "DurableScheduler"
      ],
      "runtime_state": "enhanced-active"
    },
    {
      "name": "H11I-MYRIAD",
      "role": "Generate diverse counterfactual, probabilistic, adversarial, and opportunity scenarios",
      "category": "canonical-intelligence",
      "source": "H11I_Ecosystem_v1.0/H11I_Ecosystem_v1.0/h11i/agent_runtime.py",
      "priority": 19,
      "canonical_identity": "Counterfactual and scenario intelligence",
      "aliases": [
        "H11I-SCENARIO"
      ],
      "capabilities": [
        "counterfactual generation",
        "scenario branching",
        "probability framing",
        "adversarial simulation",
        "opportunity discovery"
      ],
      "doctrine": "Explore the futures that matter before choosing one.",
      "intelligence_generation": "game-changer-v2",
      "version": "2.0",
      "extraction_root": "H11I_Ecosystem_v1.0/H11I_Ecosystem_v1.0",
      "source_modules": [
        "h11i/acros.py",
        "h11i/acros_engines.py",
        "h11i/digital_twin.py"
      ],
      "bound_engines": [
        "ScenarioEngine",
        "CounterfactualSimulationEngine",
        "DigitalTwinContinuum"
      ],
      "runtime_state": "enhanced-active"
    },
    {
      "name": "H11I-FORGE",
      "role": "Forge candidate answers, models, designs, plans, and recovery paths under active constraints",
      "category": "canonical-intelligence",
      "source": "H11I_Ecosystem_v1.0/H11I_Ecosystem_v1.0/h11i/agent_runtime.py",
      "priority": 20,
      "canonical_identity": "Governed solution-generation intelligence",
      "aliases": [
        "H11I-GENERATIVE"
      ],
      "capabilities": [
        "candidate generation",
        "plan synthesis",
        "design generation",
        "recovery planning",
        "generate-filter-converge"
      ],
      "doctrine": "Create many possibilities; advance only governed candidates.",
      "intelligence_generation": "game-changer-v2",
      "version": "2.0",
      "extraction_root": "H11I_Ecosystem_v1.0/H11I_Ecosystem_v1.0",
      "source_modules": [
        "h11i/acros.py",
        "h11i/acros_engines.py",
        "h11i/learning.py"
      ],
      "bound_engines": [
        "ACROSV11",
        "ACROSV12",
        "BranchIntegrationEngine",
        "ARCHELIUSPlanner"
      ],
      "runtime_state": "enhanced-active"
    },
    {
      "name": "H11I-VERITAS",
      "role": "Verify claims, calculations, lineage, consistency, and decision artifacts before release",
      "category": "canonical-intelligence",
      "source": "H11I_Ecosystem_v1.0/H11I_Ecosystem_v1.0/h11i/agent_runtime.py",
      "priority": 21,
      "canonical_identity": "Proof, verification, and lineage intelligence",
      "aliases": [
        "H11I-PROOF"
      ],
      "capabilities": [
        "claim verification",
        "proof artifacts",
        "lineage validation",
        "consistency checks",
        "release assurance"
      ],
      "doctrine": "Nothing becomes final until it survives verification.",
      "intelligence_generation": "game-changer-v2",
      "version": "2.0",
      "extraction_root": "H11I_Ecosystem_v1.0/H11I_Ecosystem_v1.0",
      "source_modules": [
        "h11i/ith11bat.py",
        "h11i/lineage.py",
        "h11i/contracts.py",
        "h11i/evaluation.py"
      ],
      "bound_engines": [
        "ITH11BATProofEngine",
        "LineageStore",
        "ContractValidator",
        "EvaluationHarness"
      ],
      "runtime_state": "enhanced-active"
    },
    {
      "name": "H11I-VANGUARD",
      "role": "Execute approved plans with idempotency, observability, rollback, and auditable outcomes",
      "category": "canonical-intelligence",
      "source": "H11I_Ecosystem_v1.0/H11I_Ecosystem_v1.0/h11i/agent_runtime.py",
      "priority": 22,
      "canonical_identity": "Authorized operational intelligence",
      "aliases": [
        "H11I-OPERATIONAL"
      ],
      "capabilities": [
        "authorized execution",
        "idempotency",
        "rollback",
        "observability",
        "outcome audit"
      ],
      "doctrine": "Execute deliberately, observe continuously, and recover safely.",
      "intelligence_generation": "game-changer-v2",
      "version": "2.0",
      "extraction_root": "H11I_Ecosystem_v1.0/H11I_Ecosystem_v1.0",
      "source_modules": [
        "h11i/acos.py",
        "h11i/governance.py",
        "h11i/cloud.py",
        "h11i/snapshots.py"
      ],
      "bound_engines": [
        "ACOSExecutor",
        "GovernanceController",
        "CloudXWorker",
        "SnapshotManager"
      ],
      "runtime_state": "enhanced-active"
    }
  ]
}