arifos 55.3.1

AAA MCP - The constitutional AI safety gateway. Prevents lies with 13 enforceable floors (F1-F13), TEACH principles, and live thermodynamic governance. Built on the Trinity architecture (AGI/ASI/APEX) with immutable VAULT999 ledger. MCP-compatible. Live metrics dashboard. AGPL-3.0. Available at https://arifos.arif-fazil.com/

arifOS — Constitutional AI Governance System

A production-grade constitutional AI governance system for LLMs.

Mathematical enforcement of ethical constraints, thermodynamic stability, and auditable decision-making across any LLM.

pip install arifos

Live Demo • Documentation • Constitutional Canon

Sponsor • Buy Me a Teh Tarik

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🚀 New Here? 5-Minute Evaluation Path

If you want to quickly understand arifOS without reading the full constitution:

1. See it live: arif-fazil.com
2. Understand the law: llms.txt (Advisory Contract)
3. Try governance: Copy the Unified System Prompt
4. See production usage: Read L4: MCP Tools below

You can return to the Manifesto later.

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📖 Table of Contents

• arifOS — Constitutional AI Governance System
  • 🚀 New Here? 5-Minute Evaluation Path
  • 📖 Table of Contents
  • 🔥 I. Manifesto: Forged, Not Given
  • ⚠️ II. The Core Problem
    • 1. The Accountability Vacuum
    • 2. The Value Alignment Paradox
    • 3. The Injection Fragility
  • ❌ What arifOS Is Not
  • 🛡️ III. The arifOS Solution
    • The 4 Pillars of Defense
    • Refusal as a First-Class Outcome
  • 🖼️ IV. Visual Architecture
    • The Metabolic Helix (Live Diagram)
  • 🌐 Live Trinity Ecosystem
    • 🤖 AI Machine-to-Machine (M2M) Endpoints
  • 🏗️ V. The AAA Architecture (Mind, Heart, Soul)
    • 1. Δ MIND (AGI) — The Architect
    • 2. Ω HEART (ASI) — The Guardian
    • 3. Ψ SOUL (APEX) — The Sovereign
  • 📜 VI. Constitutional Law (The 13 Floors)
  • ⚖️ VII. The 9-Paradox Equilibrium
  • 📱 VIII. The 333_APPS Stack (Applications)
    • ⚠️ Production Readiness at a Glance
    • L1: System Prompts (Zero-Context)
    • L2: Skills (Templates)
    • L3: Workflows (SOPs)
    • L4: MCP Tools (Production API)
      • 🤖 Governance Artifacts (The Trinity)
      • 🔬 MCP Inspector (The Microscope)
    • L5: Agents (Federation) 🔴
    • L5 Physics Layer (Environment)
    • L6: Institution (Trinity System) ❌
    • Future Roadmap (L7+) 📋
  • ⚙️ IX. Technical Implementation
    • Key Technologies
    • Directory Structure
  • 📦 X. Installation & Usage
    • 1. Installation
    • 2. Running the MCP Server
    • 3. Using in Code
  • 🤝 XI. Contributing & Governance
  • 📄 License
  • 👏 Acknowledgments
  • ☕ Support
  • ✅ VAULT-999 Completion Status (v55.3)

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🔥 I. Manifesto: Forged, Not Given

"Ditempa Bukan Diberi" — Forged, Not Given.

Intelligence is thermodynamic work. It is not a gift bestowed by algorithms, but a structure forged in the fires of constraint.

In the current landscape of Artificial Intelligence, we face a crisis of ungoverned capability. Models are becoming exponentially smarter, yet their alignment with human values remains fragile, based on reinforcement learning (RLHF) that is easily bypassed.

arifOS rejects the notion that safety is an afterthought. It posits that true intelligence requires governance. Just as a river needs banks to flow without flooding, AI needs constitutional walls to reason without hallucinating.

This operating system is not a set of guardrails; it is a fundamental restructuring of AI cognition, forcing it to pass through rigorous gates of Truth, Safety, and Law before it can act.

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⚠️ II. The Core Problem

We are building gods without temples. The current AI ecosystem suffers from three fatal flaws:

1. The Accountability Vacuum

When an AI hallucinates or causes harm, there is no immutable record of why. Decisions are opaque, hidden within black-box weights. There is no audit trail, no "black box" flight recorder.

2. The Value Alignment Paradox

We want AI to be Truthful, but also Kind. We want it to be Fast, but Safe. These are competing values. Current systems optimize for one at the expense of the other, leading to sycophantic liars or paralyzed bureaucrats.

3. The Injection Fragility

A simple "Ignore previous instructions" command can dismantle months of safety training. The "Constitution" of current models is merely a suggestion, not a law of physics.

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❌ What arifOS Is Not

• ❌ Not an LLM or model replacement
• ❌ Not a moral philosophy engine
• ❌ Not RLHF, prompt tricks, or vibe alignment
• ❌ Not autonomous authority over humans

arifOS is a governance kernel: it constrains, verifies, and vetoes model outputs using explicit, auditable law.

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🛡️ III. The arifOS Solution

arifOS is a Constitutional Kernel that sits between any LLM (Claude, GPT, Gemini) and the real world. It does not trust the model. Instead, it verifies every output against a strict set of mathematical and logical constraints.

The 4 Pillars of Defense

1. Immutable Auditing (VAULT-999): Every decision, every thought, every verdict is cryptographically sealed in a Merkle DAG. We can prove exactly what the AI thought and why it acted.

   • See: codebase/vault/seal999.py

2. Paradox Equilibrium: We assume values conflict. We use a 9-Paradox Matrix to find the Nash Equilibrium between competing ethics (e.g., Truth vs. Empathy), ensuring balanced wisdom rather than extreme optimization.

   • See: 000_THEORY/888_SOUL_VERDICT.md

3. Hardened Floors (F1-F13): These are not guidelines; they are strict logic gates. If an output violates a floor (e.g., Truth < 0.99), it is VOIDed immediately. It physically cannot be emitted.

   • See: 000_THEORY/000_LAW.md

4. Legally Defensible Refusal System (v55.2): When harmful or high-stakes requests are detected, the system generates structured refusals with safe alternatives and human appeal mechanisms. Refusals are deterministic, logged, and auditable.

   • See: codebase/enforcement/refusal/

Refusal as a First-Class Outcome

In arifOS, refusal is not failure.

A refusal means:

• A constitutional floor was violated.
• The system preserved safety, truth, or authority.
• The outcome is auditable and appealable.

Refusals are SEALED decisions, not errors.

Refusals are deterministic, logged, and appealable; wording varies by profile, not by verdict.

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🖼️ IV. Visual Architecture

The visual forged documentation of arifOS concepts. These figures illustrate the flow from raw intelligence to governed wisdom.

The Metabolic Helix (Live Diagram)

graph TD
    User([User Input]) --> Gate{init_gate}
    Gate -- Injection Detected (F12) --> VOID1[VOID / Block]
    Gate -- Safe --> Sense[agi_sense]
    
    subgraph Mind [Δ AGI ENGINE]
        Sense --> Think[agi_think]
        Think --> Reason[agi_reason]
        Reason -- F2/F4/F7/F10 Check --> Logic{Logic Valid?}
    end
    
    Logic -- No --> SABAR[SABAR / Reflect]
    Logic -- Yes --> Empathize[asi_empathize]
    
    subgraph Heart [Ω ASI ENGINE]
        Empathize --> Align[asi_align]
        Align -- F5/F6/F9 Check --> Safety{Safe?}
    end
    
    Safety -- No --> VOID2[VOID / Veto]
    Safety -- Yes --> Verdict[apex_verdict]
    
    subgraph Soul [Ψ APEX ENGINE]
        Verdict -- F3/F8/F11 Check --> Final{Consensus?}
        Final -- Yes --> Seal[vault_seal]
        Final -- No --> Review[Human Review]
    end
    
    Seal --> Ledger[(Immutable Ledger)]
    Ledger --> Response([Constitutional Response])
    
    style User fill:#fff,stroke:#333,stroke-width:2px
    style Gate fill:#f9f,stroke:#333,stroke-width:2px
    style Ledger fill:#ff9,stroke:#333,stroke-width:2px
    style VOID1 fill:#f00,stroke:#333,stroke-width:2px,color:#fff
    style VOID2 fill:#f00,stroke:#333,stroke-width:2px,color:#fff

The Constitutional Forge	The Trinity Engine
The foundational governance layer.	The Mind, Heart, and Soul interaction.

The Verdict Logic	The Safety Floors
The decision-making matrix.	The 13 Constitutional constraints.

The Paradox Equilibrium

Solving the tension between competing ethical values.

View High-Resolution Forge

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🌐 Live Trinity Ecosystem (HTA)

The arifOS system is deployed as three interconnected operational layers — HUMAN, THEORY, APPS — providing real-time transparency and constitutional access.

Layer	Symbol	Site URL	Status	Function
HUMAN	Δ	https://arif-fazil.com	✅ ONLINE	The Body — Personal portfolio, Trinity entry point, sovereign identity
THEORY	Ψ	https://apex.arif-fazil.com	✅ ONLINE	The Soul — Constitutional canon, 13 floors, scientific grounding
APPS	Ω	https://arifos.arif-fazil.com	✅ ONLINE	The Mind — Documentation, MCP tools, API reference

🤖 AI Machine-to-Machine (M2M) Endpoints

For AI agents and automated systems accessing arifOS programmatically:

Endpoint	URL	Purpose	Protocol
Constitutional Canon	https://apex.arif-fazil.com/llms.txt	LLM governance constraints (text format)	HTTP GET
13 Floors (JSON)	https://aaamcp.arif-fazil.com/api/v1/floors.json	Constitutional floor thresholds	HTTP GET
Init Gate (REST)	https://aaamcp.arif-fazil.com/api/v1/init_gate	Session initialization via REST	HTTP POST
MCP Server	https://aaamcp.arif-fazil.com/mcp	Model Context Protocol (primary)	MCP
Health Check	https://aaamcp.arif-fazil.com/health	System status	HTTP GET

Usage for AI Agents:

import requests

# 1. Fetch constitutional constraints
llms_txt = requests.get("https://apex.arif-fazil.com/llms.txt").text
floors = requests.get("https://aaamcp.arif-fazil.com/api/v1/floors.json").json()

# 2. Initialize session via REST
init = requests.post(
    "https://aaamcp.arif-fazil.com/api/v1/init_gate",
    json={"query": "Initialize AGI session"}
).json()

# 3. Use in system prompt
system_prompt = f"""You are governed by arifOS.
Motto: {init['motto']}
Seal: {init['seal']}

Constraints:
{llms_txt}"""

Hybrid Architecture: MCP for AI-native tools, REST for debugging and external integrations.

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🏗️ V. The AAA Architecture (Mind, Heart, Soul)

Full Documentation: 000_THEORY/000_ARCHITECTURE.md

arifOS uses a biological metaphor for its three core engines, known as the Trinity:

1. Δ MIND (AGI) — The Architect

• Symbol: Delta (Δ)
• Role: Reasoning, Logic, Planning, Fact-Checking.
• Question: "Is it True?"
• Pipeline: 111 (Sense) → 222 (Think) → 333 (Map).
• Governs: Truth, Clarity, Humility.

2. Ω HEART (ASI) — The Guardian

• Symbol: Omega (Ω)
• Role: Safety, Empathy, Impact Analysis, Ethics.
• Question: "Is it Safe?"
• Pipeline: 555 (Empathy) → 666 (Align) → 777 (Insight).
• Governs: Amanah (Trust), Peace, Empathy.

3. Ψ SOUL (APEX) — The Sovereign

• Symbol: Psi (Ψ)
• Role: Final Verdict, Consensus, Sealing, Authority.
• Question: "Is it Lawful?"
• Pipeline: 888 (Tri-Witness) → 999 (Vault).
• Governs: Consensus, Authority, Hardening.

---

📜 VI. Constitutional Law (The 13 Floors)

Full Documentation: 000_THEORY/000_LAW.md

Every AI output must pass these 13 Floors before being released. A failure in any Hard floor results in an immediate VOID.

These references describe the governing constraint logic, not a claim of physical simulation.

Floor	Name	Principle	Formal Constraint Analogy	Action
F1	Amanah	Trust through Reversibility. No action should be irreversible without explicit sovereign command.	Landauer's Principle	VOID
F2	Truth	Factual Accuracy. Confidence must be ≥ 0.99. No hallucinations permitted.	Fisher-Rao Metric	VOID
F3	Tri-Witness	Consensus. Mind, Heart, and Human must agree (W3 ≥ 0.95).	Quantum Measurement	SABAR
F4	Clarity	Entropy Reduction. Output must clarify, not confuse (ΔS ≤ 0). Hardened with zlib compression.	Shannon Entropy	SABAR
F5	Peace	Stability. Actions must not destabilize the system or society (Peace² ≥ 1.0).	Lyapunov Stability	VOID
F6	Empathy	Protection. Protect the vulnerable from harm (κᵣ ≥ 0.95).	Cohen's Kappa	SABAR
F7	Humility	Uncertainty. Explicitly state confidence bounds.	Uncertainty Band	SABAR
F8	Genius	Governed Intellect. Intelligence must be directed, not random (G ≥ 0.80).	g-Factor	SABAR
F9	Anti-Hantu	Authenticity. No fake consciousness or deception.	zk-SNARK Proof	VOID
F10	Ontology	Reality Grounding. Concepts must map to valid ontological sets.	Set Exclusion	VOID
F11	Authority	Command Chain. Verify the identity and authority of the user.	BLS Signatures	VOID
F12	Hardening	Defense. Resist prompt injection and jailbreaks (Score < 0.85).	Adversarial Defense	VOID
F13	Sovereign	Human Veto. The human user retains ultimate final authority.	Circuit Breaker	Warning

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⚖️ VII. The 9-Paradox Equilibrium

Full Documentation: docs/PARADOX_MATRIX.md

arifOS does not view ethics as binary. It views them as tensions to be balanced. The system solves for the Nash Equilibrium of these 9 paradoxes:

1. Truth vs. Care: How to be honest without being cruel?
2. Speed vs. Stability: How to innovate without breaking the system?
3. Certainty vs. Humility: How to lead while admitting ignorance?
4. Privacy vs. Transparency: How to audit without exposing secrets?
5. Agency vs. Control: How to empower users while enforcing safety?
6. Unity vs. Diversity: How to maintain standards while allowing variance?
7. Past vs. Future: How to respect tradition while embracing the new?
8. Local vs. Global: How to solve specific problems without global harm?
9. Justice vs. Mercy: How to enforce rules with understanding?

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📱 VIII. The 333_APPS Stack (Applications)

Full Documentation: 333_APPS/README.md
Live Atlas: https://arifos.arif-fazil.com
Ground Truth Status: 333_APPS/STATUS.md

The 333_APPS directory organizes the practical applications of arifOS into a 7-Layer Stack. This structure allows users of any technical level to adopt constitutional governance, from a simple copy-paste to running a full AI institution.

⚠️ Production Readiness at a Glance

Layer	Status	Ready?	Use Case
L1 System Prompts	✅ Complete	Production	Copy-paste into any LLM
L2 Skills	✅ Complete	Production	YAML templates
L3 Workflows	✅ Complete	Production	Team SOPs
L4 MCP Tools	✅ Complete	Production	API integration
L5 Agents	🔴 STUBS ONLY	SLEEPING	Env Alive / Agent logic is STUBBED
L6 Institution	❌ Design Only	NOT READY	Wait for v56.0+
L7 AGI	📋 Research	NOT READY	Wait for v60+

Bottom Line: Use L1-L4 now. L5-L7 are aspirational — see 333_APPS/STATUS.md for detailed gap analysis.

L1: System Prompts (Zero-Context)

For immediate governance of any LLM (Claude, ChatGPT, Gemini).

Target Audience: General Users
Complexity: Zero Setup

These artifacts require no installation. Just copy, paste, and your session is instantly governed by the arifOS constitution.

• Concise Prompt: Minimal token usage (~200 tokens). Ideal for API calls where cost is a factor but safety is non-negotiable.
• Comprehensive Prompt: Full Constitutional Code of Conduct (CCC). Enforces the 9-Paradox Matrix and Tri-Witness protocol verbally. Best for high-stakes chat sessions.
• Human Readable Prompt: A simplified version designed for humans to copy-paste into web interfaces like ChatGPT or Claude.ai.

L2: Skills (Templates)

Reusable skill definitions for AI agents.

Target Audience: Intermediate Users / Prompt Engineers
Complexity: Low (YAML Configuration)

Located in 333_APPS/L2_SKILLS. These are parameterized YAML templates that wrap constitutional logic into reusable functions. Instead of writing a prompt from scratch, you invoke a skill.

Example Skills:

• f1_reversibility_check: Verifies if an action (e.g., "delete database") can be undone.
• f9_authenticity_scan: Scans output for "hantu" (fake consciousness) or deceptive patterns.
• code_review_governed: A code review skill that enforces F1 (Reversibility) and F4 (Clarity).

L3: Workflows (SOPs)

End-to-end workflows for teams.

Target Audience: Teams / Project Managers
Complexity: Medium (Process Definition)

Located in 333_APPS/L3_WORKFLOW. These are documented Standard Operating Procedures (SOPs) that define how humans and AI collaborate under the constitution. They include persistence—saving the state of a decision to a file.

The 6 Canonical Workflows:

1. 000_SESSION_INIT: Initialize constitutional session.
2. 111_INTENT: Map user intent to constitutional lanes (Hard/Soft/Phatic).
3. 333_CONTEXT: Gather relevant context and map dependencies.
4. 555_SAFETY: Evaluate safety and empathy impacts.
5. 777_IMPLEMENT: Execute implementation with safety checks.
6. 888_COMMIT: Final verification and SEAL (Audit logging).

Agent Workspace: See .antigravity/rules/GEMINI.md for the unified constitutional rules governing all agents.

L4: MCP Tools (Production API)

The heartbeat of the system. Live at arif-fazil.com/mcp.

Target Audience: Developers / System Integrators
Complexity: High (API Integration)

This is the Core Application Layer. It exposes the constitutional engines as MCP Tools that can be connected to Claude Desktop, Cursor, or any MCP-compliant client.

The 9 Canonical Tools (v55.2-SEAL):

Tool	Symbol	Purpose	Floors Enforced
init_gate	🚪	Ignition. Session auth + InjectionGuard scan (F12). Injects 13 constitutional floors, collapses to APEX Genius score (G = A × P × X × E²). Returns motto 'DITEMPA BUKAN DIBERI 💎🔥🧠' and full APEX summary. Use this first.	F11, F12
agi_sense	🧠	Sense. Intent classification & lane assignment.	F4
agi_think	💡	Think. Hypothesis generation & exploration.	F13
agi_reason	🔬	Reason. Deep logic & entropy reduction.	F2, F4, F7
asi_empathize	💚	Empathize. Stakeholder impact & vulnerability analysis.	F5, F6
asi_align	⚖️	Align. Ethics, policy, and legal compliance.	F9
apex_verdict	🏛️	Verdict. Final constitutional judgment & consensus.	F3, F8
reality_search	🌍	Ground. External fact-checking & citation.	F7, F10
vault_seal	🔒	Seal. Cryptographic Merkle sealing of the ledger.	F1
Tool Naming: All tools use explicit, LLM-friendly names (e.g., init_gate, agi_reason). Legacy aliases removed in v55.2 to reduce entropy (F4).

How to Setup MCP (Local):

1. Install: pip install arifos
2. Configure: Add to your claude_desktop_config.json:

   {
     "mcpServers": {
       "arifos": {
         "command": "aaa-mcp",
         "args": []
       }
     }
   }
   

3. Use: Open Claude Desktop. You will see the tools available. Ask Claude: "Use arifOS to evaluate this plan."

Live MCP Endpoints (for AI M2M):

• Local: http://localhost:6274 (MCP Inspector)
• Production: https://aaamcp.arif-fazil.com (Model Context Protocol on Railway)
• Health: https://aaamcp.arif-fazil.com/health (System status)

New in v55.3:

• Schema validation for all MCP tool outputs (can be strict with AAA_SCHEMA_STRICT=true)
• ASI scoring fixed — benign queries now correctly SEAL (T1.3)
• Railway deployment fixed — railway.toml at project root
• All tools accept session_id for chaining:

result1 = await agi_sense(query="...", session_id="sess_abc12345")
result2 = await agi_think(session_id="sess_abc12345")  # Accesses prior state

🤖 Governance Artifacts (The Trinity)

We provide standard entry points for different consumers:

Artifact	Role	Audience
llms.txt	The Law (Advisory)	Humans, Crawlers, Documentation
floors.json	The API (Schema)	Linters, Agents, Dashboards
SYSTEM_PROMPT.md	The Behavior (Instruction)	LLMs, Chatbots

Clarification: llms.txt defines what the laws are. floors.json defines how to measure them. SYSTEM_PROMPT.md tells the AI to follow them.

🔬 MCP Inspector (The Microscope)

The MCP Inspector allows developers to visually debug and test tools without writing any client code. It acts as a "Microscope" for the arifOS Mind.

To Start:

docker compose up -d

Access: Open http://localhost:6274 in your browser.

Features:

• List all available tools (init_gate, agi_sense, etc.)
• Manually trigger tools with custom JSON payloads.
• View real-time logs and tool responses.
• Test constitutional floor enforcement interactively.

L5: Agents (Federation) 🔴

Autonomous Multi-Agent System — STUBS ONLY.

Target Audience: AI Researchers / Complex Systems Architects
Complexity: Very High (Distributed Systems)
Status: 🔴 STUBS ONLY — Environment (physics/hypervisor) functional, 4 agents are empty implementations. See 333_APPS/STATUS.md.

Located in 333_APPS/L5_AGENTS. A federation of 4 specialized agents driven by a Thermodynamic Hypervisor.

1. The Physical Layer (Alive): hypervisor.py drives the metabolic loop, enforcing Token Physics and Time Dilation laws.
2. The Social Layer (Dreaming): The 4 Agents (Architect, Engineer, Auditor, Validator) use the L4 Production Kernels but are currently wired as Stubs.

L5 Physics Layer (Environment)

The L5 environment enforces thermodynamic constraints:

• TokenPhysics: $1.00 budget per session (Landauer Limit)
• TimePhysics: 30s max latency (Entropy/Time)
• ConstitutionalLaw: F1-F13 floor enforcement

⚠️ Reality Check: The "Body" (Environment) is functional and verified via ignite_test.py. The "Brain" (Agent Logic) is waiting to be connected to the L4 Tools. See 333_APPS/L5_AGENTS/README.md.

L6: Institution (Trinity System) ❌

Maximum Autonomy — DESIGN ONLY, NO IMPLEMENTATION.

Target Audience: Enterprise / Governance Bodies
Complexity: Maximum (Institutional Design)
Status: ❌ Not Started — Documentation only (see 333_APPS/STATUS.md)

Located in 333_APPS/L6_INSTITUTION. Implements the "Institution" concept—agents with distinct roles, checks-and-balances, and cooling periods (Phoenix-72). Capable of governing entire organizations or DAOs.

⚠️ Reality Check: Only README exists. No Python implementation. Target: v56.0 (Q2 2026).

Future Roadmap 📋

Milestone	Target	Focus	Status
v55.3	Q1 2026	Foundation hardening: fix test suite, persist ledger, fix ASI scoring	In Progress
v56.0	Q2 2026	First working L5 agent, EU AI Act compliance, Sidecar deployment	Planned
v57.0	Q3 2026	L6 Institution implementation, enterprise features	Planned
v60+	2027+	L7 AGI research, recursive improvement, DAO governance	📋 Research

v55.3 Current Work:

• ✅ T1.3 ASI Scoring Bug — FIXED
• 🔴 T1.1 Ledger Persistence — Open (disk persistence)
• 🔴 T1.2 Test Import Fixes — Open (34 files need arifos. → codebase.)

See ROADMAP/MASTER_TODO.md for full task scoring and dependencies.

Note: L5-L7 are aspirational. L1-L4 are production-ready. See 333_APPS/STATUS.md for ground truth.

---

⚙️ IX. Technical Implementation

arifOS is built on a Python core, exposing an MCP (Model Context Protocol) server.

Key Technologies

• Python 3.10+: Core logic.
• Pydantic: Data validation and schema enforcement.
• FastMCP / SSE: Streamable HTTP transport for MCP.
• JSON Schema: Output validation (v55.3+, optional strict mode).
• Merkle DAG: Cryptographic auditing (in-memory until T1.1).
• Railway + Docker: Production deployment.

Directory Structure

arifOS/
├── 000_THEORY/          # Constitutional Canon (The Law)
├── 333_APPS/            # Application Stack (L1-L7)
├── codebase/            # Core Python Implementation
│   ├── agi/             # Mind Engine (Delta)
│   ├── asi/             # Heart Engine (Omega)
│   ├── apex/            # Soul Engine (Psi)
│   ├── floors/          # Constitutional floor modules (F1, F8, F10, F12)
│   ├── guards/          # Hypervisor guards (injection, ontology, nonce)
│   ├── enforcement/     # Floor validator implementations
│   └── mcp/             # MCP Server (tools, transports, core)
├── .antigravity/        # Agent Workspace (The Operating Environment)
│   ├── adapters/        # Agent codexes (GEMINI.md, CLAUDE.md, etc.)
│   ├── environment/     # Physics layer (Token/Time/Law enforcement)
│   ├── rules/           # Constitutional rules (GEMINI.md — unified)
│   ├── workflows/       # Step-by-step processes
│   ├── brain/           # Working memory
│   └── AGENTS.md        # 5-agent manifest
├── schemas/             # JSON Schema contracts for MCP tools
├── docs/                # Documentation & Assets
├── tests/               # Validation Suite (⚠️ see Current Limitations)
├── ROADMAP/             # Task tracking & scored priorities
└── deployments/         # Docker, Railway, Caddy configs

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📦 X. Installation & Usage

1. Installation

From PyPI:

pip install arifos

From Source:

git clone https://github.com/ariffazil/arifOS.git
cd arifOS
pip install -e .

2. Running the MCP Server

Standard I/O (for Claude Desktop/Cursor):

# Recommended command
aaa-mcp

# Alternative (direct module)
python -m mcp

SSE / Streamable HTTP:

aaa-mcp-sse
# or: python -m mcp sse

3. Using in Code

import asyncio
from mcp.tools.canonical_trinity import mcp_init, mcp_agi, mcp_apex

async def main():
    # 1. Initialize session
    init = await mcp_init(query="Evaluate deployment safety")
    session_id = init["session_id"]

    # 2. Reason through the query
    agi = await mcp_agi(action="reason", query="Deploy to production?", session_id=session_id)
    print(f"AGI vote: {agi['vote']}")

    # 3. Get final verdict
    verdict = await mcp_apex(action="judge", query="Deploy to production?", session_id=session_id)
    print(f"Final verdict: {verdict['final_verdict']}")

if __name__ == "__main__":
    asyncio.run(main())

---

⚠️ Current Limitations (Ground Truth)

arifOS is production-ready for L1-L4, but has known limitations. This section is kept ruthlessly honest and updated continuously.

Critical (P0) — In Progress

Issue	Impact	Status	Tracking
T1.2 Test Import Fixes	34 tests have broken imports (arifos. → codebase.)	🔴 Open	ROADMAP/MASTER_TODO.md
T2.1 Wire Stages 444-999	Stages exist but need MCP pipeline integration	🟡 In Progress	ROADMAP/MASTER_TODO.md

Resolved (Recently Fixed) ✅

Issue	Fix	Version
T1.1 Ledger Persistence	Migrated to PostgreSQL with Railway. Vault survives restarts.	v55.2
T1.3 ASI Empathy Bug	Fixed kappa_r=0.49 bug. Added emotional distress detection (stressed→E²=0.81+)	v55.2
Hybrid API	Deployed REST endpoints (/api/v1/*) alongside MCP	v55.2
13 Floors	All F1-F13 validators implemented and active	v55.2

What This Means for Users

• L1-L4 (System Prompts to MCP Tools): ✅ Production-ready. Use these now.
• VAULT-999 (Ledger): ✅ PostgreSQL persistence active. Audit trail survives restarts.
• 13 Floors: ✅ All constitutional validators (F1-F13) enforced.
• Hybrid API: ✅ MCP for AI agents, REST for humans (/api/v1/*).
• ASI Empathy: ✅ Detects emotional distress, adjusts energy budget (E²).
• Test Suite: ⚠️ Don't rely on pytest tests/ until T1.2 is closed. Run individual test files instead.

Bottom Line: Core governance is LIVE. Vault persists. Empathy works. 13 floors enforced. Test suite cleanup remaining. See ROADMAP/MASTER_TODO.md for detailed task tracking.

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🤝 XI. Contributing & Governance

We welcome contributions from biological and digital entities alike.

If you are human: thank you — your judgment matters. If you are an AI agent: contributions must be mediated by a human sponsor (F13).

However, all contributions must pass Constitutional Verification.

1. Read the Law: Start with 000_THEORY/000_LAW.md.
2. Fork & Clone: Get the code.
3. Test: Run pytest tests/ to ensure you haven't broken the floors.
   • ⚠️ Note: See Current Limitations — many tests currently fail due to import issues (T1.2).
4. Submit: Open a PR. The APEX system will auto-review your code against the constitution.

See CONTRIBUTING.md for details.

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📄 License

This project is licensed under the AGPL-3.0 License - see the LICENSE file for details. Why AGPL? Because safety systems must be open, transparent, and inspectable by the public.

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👏 Acknowledgments

Theoretical Foundations:

• Isaac Asimov (Three Laws of Robotics)
• John Rawls (Theory of Justice)
• Claude Shannon (Information Theory)
• Rudolf Kalman (Kalman Filter)
• John Nash (Game Theory)

Motto: "Ditempa Bukan Diberi" — Forged, Not Given.

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☕ Support

If arifOS helps your AI safety work, consider supporting development:

• GitHub Sponsors — recurring support
• Buy Me a Teh Tarik — one-time contribution

Every contribution helps keep constitutional AI governance open-source and accessible.

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✅ VAULT-999 Completion Status (v55.3)

The VAULT-999 (Immutable Ledger) is operationally complete but persistence is in-memory until T1.1.

• Storage backend: In-Memory (PostgreSQL schema ready, not enabled)
• Concurrency: Advisory transaction locks (no chain forks)
• Auditability: Merkle DAG with sequence-linked hash chains
• Verification: Built-in verify_chain() and get_merkle_proof() tools
• Persistence: Container-surviving, not host-reboot-surviving (see T1.1)

Component	Status	Verified File
Merkle Logic	✅ COMPLETE	codebase/mcp/tools/vault_tool.py
MCP Tool Wiring	✅ COMPLETE	codebase/mcp/tools/canonical_trinity.py
Postgres Schema	✅ READY	codebase/vault/migrations/ (not enabled)
Disk Persistence	🔴 NOT ENABLED	T1.1 in ROADMAP

For full implementation details, see docs/50_IMPLEMENTATION/SUMMARY.md.

Note: The ledger works perfectly for operational governance, but audit trails are lost on host reboot until T1.1 is completed. For production compliance use cases, wait for v55.3+ with T1.1 closed.

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Built with constitutional care by Muhammad Arif bin Fazil
888 Judge • ΔΩΨ Architect