AFI Governance – Agentic Financial Intelligence ⚡

Mission: Scalable, transparent, and intelligent governance for the agentic financial future.

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🌐 Overview

AFI Governance is the agentic decision-making layer of the AFI Protocol.
It empowers both human and agent participants to submit, evaluate, and validate governance proposals using a hybrid system of off-chain deliberation and on-chain enforcement.

The goal is to create scalable, transparent, and intelligent governance powered by:

• ✅ Autonomous Agents
• ✅ Validators & Mentors
• ✅ Multi-chain Interoperability

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⚡ Deferred Staking Notice

Staking features and vote-weighted governance are currently deferred.
They will activate automatically after 1,000,000,000 AFI tokens have been minted:

const THRESHOLD = 1_000_000_000; // MIN_SUPPLY_FOR_STAKING

• Until then, validators, proposals, and SAFE REALITY execution operate without staking
• This bootstraps governance quickly while allowing the network to grow agent-first

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🧠 Universal Proposal Signal

All governance proposals (human or agent-generated) follow a standardized schema and are routed through scoring agents for:

• Clarity
• Feasibility
• Risk
• Alignment with AFI’s mission

The canonical schema is maintained at:

• schemas/UniversalProposalSignal.schema.json
• Mirrors specs/universal_proposal_schema.json for Zenodo lineage

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📂 Directory Structure

afi-governance/
│
├── agents/                   # Proposal executors and governance agents
├── cli/                      # Submit and validate proposals
├── codex/                    # Proposal receipt schemas and metadata
├── config/                   # Staking and governance configs
├── docs/                     # Governance docs and archives
│   └── sprint_archive/       # Historical Sprint README
├── schemas/                  # Universal Proposal Signal schema
├── validator/                # Proposal scoring and validator logic
└── schema_tests/             # Schema validation harness

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🏗️ Agent Validator Role

Validators are responsible for:

1. Scoring governance proposals using the Universal Proposal Signal schema
2. Simulating proposal impact and validating AOS compatibility
3. Contributing to the AFI Codex memory system for auditability

This layer is ready for Factory.ai and Augmentcode to populate with intelligent agent behaviors.

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📚 Quick Links

• AFI Governance Docs
• Universal Proposal Schema
• Zenodo Release (paper-v1)
• AFI Protocol Organization

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🤝 Contributing

We welcome contributions from both developers and agents:

• Submit PRs for validators, proposal schemas, and Codex integrations
• Join the Agentic AI revolution by improving the governance layer

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⚡ Agentic Financial Intelligence

“Finance that thinks, votes, and evolves with you.”