{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "name": "ADAM Financial Operating System",
  "acronym": "AFOS",
  "version": "30.1",
  "license": "MIT",
  "repository": "https://github.com/adamvangrover/adam",
  "homepage": "https://adamvangrover.github.io/adam/",
  "description": "Institutional-grade neuro-symbolic multi-agent financial operating system for credit risk, market intelligence, and portfolio surveillance.",
  "domain": "Institutional Credit Risk & Market Intelligence",
  "architecture": "Hybrid Cognitive Engine (System 1 Swarm + System 2 Neuro-Symbolic DAG)",
  "last_updated": "2026-08-22T00:00:00Z",
  "tech_stack": {
    "deterministic_execution": "Rust",
    "orchestration": "Python 3.11+",
    "type_safety": "Pydantic",
    "governance": "JSONLogic / YAML",
    "frontend": "HTML / React / Three.js",
    "knowledge_representation": "GNN / FIBO Ontology",
    "vector_search": "Qdrant",
    "package_manager": "uv",
    "containerization": "Docker / Docker Compose"
  },
  "entry_points": {
    "human": {
      "web_portal": "index.html",
      "analyst_os": "analyst_os.html",
      "neural_dashboard": "showcase/index.html",
      "command_center": "portal/index.html",
      "daily_reports": "adam_daily_hub_index.html",
      "documentation": "docs/index.html"
    },
    "machine": {
      "llm_context_optimized": "llms.txt",
      "llm_context_full": "llms-full.txt",
      "llm_readme": "LLM_README.md",
      "agent_bible": "AGENTS.md",
      "agent_catalog": "AGENT_CATALOG.md",
      "api_schema": "api_schema.yaml",
      "this_manifest": "machine_index.json"
    }
  },
  "cognitive_systems": {
    "system_1": {
      "name": "Neural Swarm (HiveMind)",
      "role": "Fast perception, reflexes, asynchronous surveillance",
      "architecture": "Event-driven Pub/Sub",
      "base_class": "AsyncAgentBase",
      "latency": "<12 seconds for full 10-K ingestion",
      "locations": ["core/system/", "adam_swarm/"]
    },
    "system_2": {
      "name": "Neuro-Symbolic Graph (Planner)",
      "role": "Deep reasoning, credit underwriting, scenario analysis",
      "architecture": "Directed Acyclic Graph (DAG) state machine",
      "base_class": "TemplateAgentV30",
      "locations": ["core/engine/", "core/agents/"]
    }
  },
  "agent_registry": {
    "core_agents": [
      { "name": "Nexus (Orchestrator)", "role": "Workflow runtime, task dispatch", "location": "core/engine/orchestrator.py" },
      { "name": "Underwriting Agent (AFOS-UWR-01)", "role": "Credit analysis, capital structures", "sector": "TMT / Leveraged Finance" },
      { "name": "Compliance Agent (AFOS-CMP-01)", "role": "Regulatory capital & audit verification", "location": "core/agents/compliance_agent.py" },
      { "name": "Surveillance Agent", "role": "Portfolio monitoring, threat telemetry" },
      { "name": "Sentinel Agent", "role": "Security, PROV-O compliance audits" },
      { "name": "Architect Agent (Jules)", "role": "Repository architecture, refactoring" }
    ],
    "specialized_agents": {
      "risk_credit": ["CreditRiskAgent", "SNCAnalystAgent", "CovenantAgent", "LiquidityRiskAgent"],
      "quantitative_market": ["AlgoTradingAgent", "OptionsFlowAgent", "QuantumPortfolioManagerAgent", "MarketMakingAgent"],
      "macro_altdata": ["BlackSwanAgent", "MacroeconomicAnalysisAgent", "GeopoliticalRiskAgent", "AlternativeDataAgent"],
      "governance_security": ["RedTeamAgent", "ComplianceAgent", "DataVerificationAgent", "FraudDetectionAgent"]
    },
    "full_catalog": "AGENT_CATALOG.md"
  },
  "modules": {
    "core_workspaces": [
      { "name": "Analyst OS", "path": "analyst_os.html", "type": "interactive", "status": "active" },
      { "name": "Portal UI", "path": "portal/index.html", "type": "interactive", "status": "active" },
      { "name": "Daily Reports Hub", "path": "adam_daily_hub_index.html", "type": "hub", "status": "active" },
      { "name": "Workflow Orchestrator", "path": "workflow_orchestrator.html", "type": "interactive", "status": "new" }
    ],
    "prototypes": [
      { "name": "Telemetry & Logic Router", "path": "interactive_prototype.html", "status": "active" },
      { "name": "Market Mayhem Terminal", "path": "showcase/market_mayhem_v26.html", "status": "active" },
      { "name": "Neural Dashboard", "path": "showcase/neural_dashboard.html", "status": "static" },
      { "name": "Repository Codex", "path": "showcase/codex.html", "status": "active" }
    ],
    "financial_modeling": [
      { "name": "Credit & Valuation Architect", "path": "credit_valuation_architect.html" },
      { "name": "Monte Carlo Risk Engine", "path": "monte_carlo_visualizer.html" },
      { "name": "Comprehensive Credit Dashboard", "path": "comprehensive_credit_dashboard.html" },
      { "name": "Institutional Radar (13F)", "path": "institutional_radar.html" },
      { "name": "Unified Banking World Model", "path": "unified_banking.html", "status": "beta" }
    ],
    "swarms_simulations": [
      { "name": "Market Live / Neural Exchange", "path": "market_live.html", "status": "live" },
      { "name": "Sector Swarm Roundtable", "path": "sector_swarm.html" },
      { "name": "Wargame Console", "path": "wargame_dashboard.html" },
      { "name": "Agent Gallery", "path": "agent_gallery.html" },
      { "name": "Neural Link Convergence", "path": "adam_convergence_live_neural_link.html", "status": "new" },
      { "name": "Nexus Simulation", "path": "nexus.html" }
    ],
    "developer_tools": [
      { "name": "System Brain (Knowledge Graph)", "path": "system_brain.html" },
      { "name": "Quantum Infrastructure", "path": "quantum_infrastructure.html" },
      { "name": "Prompt Library & Alpha", "path": "apps/prompt_alpha.html" },
      { "name": "Creator Studio", "path": "editor_studio.html" },
      { "name": "Scenario Lab (VAE)", "path": "scenario_lab.html" },
      { "name": "AVG Search Engine", "path": "avg_search.html" }
    ]
  },
  "showcase_statistics": {
    "total_html_artifacts": 528,
    "daily_briefings": 100,
    "market_pulses": 70,
    "house_views": 14,
    "market_mayhem_editions": 30,
    "company_reports": 15,
    "deep_dives": 8,
    "counterfactual_scenarios": 5
  },
  "governance": {
    "provenance_standard": "W3C PROV-O",
    "rules_engine": "JSONLogic",
    "minimum_conviction_threshold": 0.85,
    "break_glass_protocol": "HMAC-SHA256 signed X-Governance-Override header",
    "security_mandates": ["No pickle.load()", "No dynamic imports", "No eval/exec", "Input sanitization required"]
  },
  "benchmarks": {
    "financebench_accuracy": "99%",
    "pricing_engine_latency": "<5ms",
    "filing_ingestion_time": "<12 seconds",
    "deterministic_drift": "0%"
  },
  "io_schemas": {
    "agent_input": {
      "fields": ["query (str)", "context (Dict)", "tools (List[str])"],
      "validation": "Pydantic BaseModel"
    },
    "agent_output": {
      "fields": ["answer (str)", "sources (List[str])", "confidence (float 0.0-1.0)", "metadata (Dict)", "prov_o_audit_trail (List[Dict])"],
      "validation": "Pydantic BaseModel"
    }
  }
}