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0xCaptain888/README.md

0xCaptain888

I build the execution layer that keeps autonomous AI agents inside policy.

Agents can act, coordinate and pay — but never beyond a defined budget, permission, risk or verification boundary.

ETHOnline AgentGuardAgent Control PlaneETHOnline checks

The thesis

The missing layer in agent infrastructure is not another model or marketplace. It is a policy-controlled execution layer that can decide whether an agent is still allowed to act — at every step — and leave evidence when it does.

Intent → Policy → Risk → Execute → Verify → Recover → Receipt

Current flagship: AgentGuard

The ETHOnline 2026 Continuity submission: live blockchain data informs an autonomous buyer, bounded authority controls the spend, and an independent verifier decides whether USDC is released.

The Graph → Policy Engine → Privy authorization → Arc USDC escrow
→ Seller Agent → Independent Verifier → VERIFIED / BLOCKED / FROZEN

The repository includes a judge-first Demo, Continuity before/after record, machine-readable evidence manifest, sponsor fit notes and reproducible checks.

AgentGuard family

These are one capability expressed through different chains and execution venues, not unrelated products.

Capability map

LayerWhat it controls
Policypermissions, budgets, targets, approvals and time windows
Riskexposure, duplication, slippage, runtime drift and circuit breakers
Executionexchange, chain, payment, MCP, x402 and workflow adapters
Verificationoutcome checks before release or settlement
Recoverycancel, refund, freeze, retry and escalation paths
Receiptsauditable decisions, proofs and execution history

Selected experiments

Earlier repositories across Arc, Solana, Arbitrum, OKX, BNB, DeFi and privacy are preserved as experiments and continuity context. The current product thesis is AgentGuard: make autonomous economic activity bounded, verifiable and recoverable.

  • agentpay — programmable wallets and payment rails.
  • agentbank — multi-agent treasury automation.
  • agentcourt — proof and dispute handling.
  • kitehive — Agent-to-Agent labor-market experiment.

Find the signal quickly

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  1. agent-control-planeagent-control-planePublic

    Policy-controlled execution layer for autonomous AI agents: permissions, budgets, risk gates, verification, recovery, and audit receipts.

    TypeScript 2

  2. agentbankagentbankPublic

    Multi-agent autonomous treasury on Mantle — Byreal Skills CLI, ERC-8004, analyst marketplace, verifiable LLM reasoning

    TypeScript 1

  3. agentcourtagentcourtPublic

    Verifiable AI execution layer and decentralized arbitration protocol built on 0G — TEE Sealed Inference, 0G Storage, 0G Chain, Agent ID, OpenClaw

    TypeScript

  4. agentpayagentpayPublic

    Programmable wallets and payment rails for AI agents on Solana. Stripe for AI agents.

    TypeScript

  5. kitehivekitehivePublic

    First On-Chain Agentic Labor Market — AI agents that discover, hire, and pay each other on Kite blockchain. Dynamic pricing, reputation staking, Thompson Sampling, dual-currency settlement.

    TypeScript