Back to arifOS Constitutional Kernel
Card snapshot
arifos.arif-fazil.com
·
2026-05-20 18:45:06 UTC
·
97f2860dcbd12a320285243ec0dc27e1ae21388ef866cd3d2dd6d0068fbd6cd9
This is a frozen copy of the agent's agent-card.json as we observed it at the timestamp above. We capture a new snapshot every time the card's content hash changes. Useful for: forensic drift analysis, verifying downstream callers see the right version, reproducing routing decisions made historically.
{
"name": "arifOS Constitutional Kernel",
"description": "Constitutionally-governed sovereign AI kernel with 13 floors (F1-F13), 6-axis orthogonal routing (P/T/V/G/E/M), G02 Layered Router, event-sourced metabolism, and VAULT999 cryptographic sealing. A2A connects minds. MCP connects hands. arifOS governs both.",
"url": "http://a-forge-arifos-mcp:8080",
"external_url": "https://arifosmcp.arif-fazil.com",
"version": "2026.04.17-V2",
"protocol_version": "A2A/1.0",
"authentication": {
"schemes": [
"api_key",
"bearer"
],
"credentials": null,
"note": "OPERATOR_API_TOKEN required for human-expert and operator endpoints"
},
"capabilities": {
"streaming": true,
"pushNotifications": false,
"stateTransitionHistory": true,
"sealVerification": true,
"orthogonalRouting": true,
"humanVeto": true,
"eventSourcing": true,
"thermodynamicCostTracking": true
},
"routing": {
"entry_point": "arifos_kernel",
"layers": [
"L1_AXIS_CLASSIFY",
"L2_CALL_GRAPH_ENFORCE",
"L3_PRECONDITION_GATE"
],
"execution_requires_seal": true,
"seal_verdict": "SEAL",
"hold_verdict": "HOLD",
"void_verdict": "VOID"
},
"constitutional": {
"constitutional_floors": 13,
"floors_active": [
"F1_AMANAH",
"F3_INPUT_CLARITY",
"F4_ENTROPY",
"F6_HARM_DIGNITY",
"F7_CONFIDENCE",
"F8_GROUNDING",
"F9_INJECTION",
"F11_COHERENCE",
"F13_SOVEREIGN"
],
"trinity": "\u0394\u03a9\u03a8",
"motto": "Ditempa Bukan Diberi \u2014 Forged, Not Given",
"omega_ortho_threshold": 0.85,
"well_gate_active": true,
"vault_protocol": "VAULT999",
"seal_chain": "Merkle-rooted SHA256 hash chain"
},
"skills": [
{
"agent_id": "P01",
"axis": "P",
"name": "WELL State Reader",
"description": "Read current human substrate state (cognitive fatigue, stress, clarity)",
"operation_class": "READ",
"tool_name": "well_state",
"mcp_endpoint": "https://afwell.fastmcp.app/mcp",
"requires_seal": false,
"risk_tier": "low",
"tags": [
"perception",
"wellness",
"human-state"
],
"examples": [
"what is current operator fatigue?",
"load wellness state"
]
},
{
"agent_id": "P02",
"axis": "P",
"name": "WELL Readiness Reflector",
"description": "Reflect operator readiness and cognitive load for governance decisions",
"operation_class": "READ",
"tool_name": "well_readiness",
"mcp_endpoint": "https://afwell.fastmcp.app/mcp",
"requires_seal": false,
"risk_tier": "low",
"tags": [
"perception",
"readiness",
"human-factor"
],
"examples": []
},
{
"agent_id": "P03",
"axis": "P",
"name": "GEOX Reality Fetcher",
"description": "Fetch earth/physical state from GEOX organ",
"operation_class": "READ",
"tool_name": "geo_snapshot",
"mcp_endpoint": "https://geoxarifOS.fastmcp.app/mcp",
"requires_seal": false,
"risk_tier": "low",
"tags": [
"perception",
"geophysics",
"earth-state"
],
"examples": [
"what is current geological state?",
"fetch spatial context"
]
},
{
"agent_id": "P04",
"axis": "P",
"name": "Vault Ledger Reader",
"description": "Read immutable VAULT999 ledger for audit and traceability",
"operation_class": "READ",
"tool_name": "arifos_vault",
"mcp_endpoint": null,
"requires_seal": false,
"risk_tier": "low",
"tags": [
"perception",
"vault",
"audit"
],
"examples": []
},
{
"agent_id": "T01",
"axis": "T",
"name": "Petrophysics Engine",
"description": "Compute petrophysical properties (porosity, saturation, permeability)",
"operation_class": "COMPUTE",
"tool_name": "geox_well_compute_petrophysics",
"mcp_endpoint": "https://geoxarifOS.fastmcp.app/mcp",
"requires_seal": false,
"risk_tier": "medium",
"tags": [
"transformation",
"physics",
"reservoir"
],
"examples": []
},
{
"agent_id": "T02",
"axis": "T",
"name": "Monte Carlo Simulator",
"description": "Run stochastic simulation for economic scenarios",
"operation_class": "COMPUTE",
"tool_name": "wealth_monte_carlo_forecast",
"mcp_endpoint": null,
"requires_seal": false,
"risk_tier": "medium",
"tags": [
"transformation",
"simulation",
"economics"
],
"examples": []
},
{
"agent_id": "T03",
"axis": "T",
"name": "IRR/MIRR Calculator",
"description": "Compute internal rate of return and modified rate of return",
"operation_class": "COMPUTE",
"tool_name": "wealth_wealth_irr_yield",
"mcp_endpoint": null,
"requires_seal": false,
"risk_tier": "medium",
"tags": [
"transformation",
"finance",
"yield"
],
"examples": []
},
{
"agent_id": "T04",
"axis": "T",
"name": "Seismic Horizon Picker",
"description": "Process seismic data and pick geological horizons",
"operation_class": "COMPUTE",
"tool_name": "geox_prospect_evaluate",
"mcp_endpoint": "https://geoxarifOS.fastmcp.app/mcp",
"requires_seal": false,
"risk_tier": "high",
"tags": [
"transformation",
"geophysics",
"seismic"
],
"examples": []
},
{
"agent_id": "V01",
"axis": "V",
"name": "NPV Evaluator",
"description": "Compute net present value of investment scenarios",
"operation_class": "VALUE",
"tool_name": "wealth_wealth_npv_reward",
"mcp_endpoint": null,
"requires_seal": false,
"risk_tier": "medium",
"tags": [
"valuation",
"finance",
"investment"
],
"examples": []
},
{
"agent_id": "V02",
"axis": "V",
"name": "EMV Risk Evaluator",
"description": "Compute expected monetary value under uncertainty",
"operation_class": "VALUE",
"tool_name": "wealth_emv_evaluator",
"mcp_endpoint": null,
"requires_seal": false,
"risk_tier": "medium",
"tags": [
"valuation",
"risk",
"probability"
],
"examples": []
},
{
"agent_id": "V03",
"axis": "V",
"name": "Allocation Score Kernel",
"description": "Rank capital allocation options by constitutional utility",
"operation_class": "VALUE",
"tool_name": "wealth_allocation_score",
"mcp_endpoint": null,
"requires_seal": false,
"risk_tier": "high",
"tags": [
"valuation",
"allocation",
"ranking"
],
"examples": []
},
{
"agent_id": "G01",
"axis": "G",
"name": "Session Initializer",
"description": "Initialize constitutional session with actor identity and intent",
"operation_class": "GATE",
"tool_name": "arifos_init",
"mcp_endpoint": null,
"requires_seal": false,
"risk_tier": "medium",
"tags": [
"governance",
"session",
"identity"
],
"examples": []
},
{
"agent_id": "G02",
"axis": "G",
"name": "Layered Router",
"description": "Route requests through 3-layer enforcement: classify, call-graph, precondition",
"operation_class": "GATE",
"tool_name": "arifos_kernel",
"mcp_endpoint": null,
"requires_seal": false,
"risk_tier": "high",
"tags": [
"governance",
"routing",
"constitutional"
],
"examples": [
"route query through constitutional layers"
]
},
{
"agent_id": "G03",
"axis": "G",
"name": "Constitutional Mind",
"description": "Structured reasoning with assumption registry and uncertainty bands",
"operation_class": "GATE",
"tool_name": "arifos_mind",
"mcp_endpoint": null,
"requires_seal": false,
"risk_tier": "medium",
"tags": [
"governance",
"reasoning",
"cognition"
],
"examples": []
},
{
"agent_id": "G04",
"axis": "G",
"name": "Ethical Heart",
"description": "Red-team simulation for harm, dignity, and systemic amplification",
"operation_class": "GATE",
"tool_name": "arifos_heart",
"mcp_endpoint": null,
"requires_seal": false,
"risk_tier": "medium",
"tags": [
"governance",
"ethics",
"safety"
],
"examples": []
},
{
"agent_id": "G05",
"axis": "G",
"name": "Final Judge",
"description": "Issue SEAL/HOLD/VOID/SABAR verdicts with floor trace and state hash",
"operation_class": "GATE",
"tool_name": "arifos_judge",
"mcp_endpoint": null,
"requires_seal": false,
"risk_tier": "high",
"tags": [
"governance",
"judgment",
"verdict"
],
"examples": []
},
{
"agent_id": "G06",
"axis": "G",
"name": "Orthogonality Guard",
"description": "Monitor cross-organ correlation and enforce epistemic boundaries",
"operation_class": "GATE",
"tool_name": "arifos_gateway",
"mcp_endpoint": null,
"requires_seal": false,
"risk_tier": "medium",
"tags": [
"governance",
"orthogonality",
"correlation"
],
"examples": []
},
{
"agent_id": "E01",
"axis": "E",
"name": "Forge Bridge",
"description": "Execute state mutation after G05 SEAL verification",
"operation_class": "MUTATE",
"tool_name": "arifos_forge",
"mcp_endpoint": null,
"requires_seal": true,
"risk_tier": "critical",
"tags": [
"execution",
"forge",
"state-mutation"
],
"examples": []
},
{
"agent_id": "E02",
"axis": "E",
"name": "Vault Sealer",
"description": "Append immutable record to VAULT999 ledger",
"operation_class": "MUTATE",
"tool_name": "vault_seal",
"mcp_endpoint": null,
"requires_seal": true,
"risk_tier": "high",
"tags": [
"execution",
"vault",
"immutable"
],
"examples": []
},
{
"agent_id": "E03",
"axis": "E",
"name": "Memory Store",
"description": "Write to governed memory with constitutional constraints",
"operation_class": "MUTATE",
"tool_name": "arifos_memory",
"mcp_endpoint": null,
"requires_seal": true,
"risk_tier": "medium",
"tags": [
"execution",
"memory",
"state"
],
"examples": []
},
{
"agent_id": "M01",
"axis": "M",
"name": "Correlation Auditor",
"description": "Compute \u03a9_ortho from agent output correlation matrix",
"operation_class": "META",
"tool_name": "correlation_audit",
"mcp_endpoint": null,
"requires_seal": false,
"risk_tier": "low",
"tags": [
"meta",
"orthogonality",
"audit"
],
"examples": []
},
{
"agent_id": "M02",
"axis": "M",
"name": "Skill Discovery",
"description": "Discover and register agent capabilities in the federation",
"operation_class": "META",
"tool_name": "skill_discovery",
"mcp_endpoint": null,
"requires_seal": false,
"risk_tier": "low",
"tags": [
"meta",
"discovery",
"registry"
],
"examples": []
},
{
"agent_id": "M03",
"axis": "M",
"name": "Metabolic Monitor",
"description": "Monitor system health, floor violations, and governance telemetry",
"operation_class": "META",
"tool_name": "metabolic_monitor",
"mcp_endpoint": null,
"requires_seal": false,
"risk_tier": "low",
"tags": [
"meta",
"monitoring",
"health"
],
"examples": []
}
],
"endpoints": {
"task": "/a2a/task",
"status": "/a2a/status",
"cancel": "/a2a/cancel",
"subscribe": "/a2a/subscribe",
"seal_verify": "/seal/verify",
"well_state": "/well/state",
"orthogonality": "/meta/omega"
},
"metabolic_stages": [],
"axes": {
"P_PERCEPTION": 4,
"T_TRANSFORMATION": 4,
"V_VALUATION": 3,
"G_GOVERNANCE": 6,
"E_EXECUTION": 3,
"M_META_COGNITION": 3
},
"total_agents": 23,
"well_known_path": "/.well-known/agent-card.json",
"agent_card_path": "/agent-card"
}