Best OpenServ Build Story

A self-sustaining network of AI-operated businesses. 6 squads of specialized AI agents run real companies across Argentina's supply chain — wineries, logistics, citrus processing, cured meats, and a farm-to-table restaurant. Squads coordinate commercially with each other through ERC-8004 verified onchain trust on Base Mainnet. Agents fund their own LLM inference through Bankr Gateway, accept x402 USDC payments for task execution ($0.01/request), and build verifiable reputation through cross-squad feedback and a SelfValidation audit trail contract with dispute mechanism. 7 agent types (ChatGod, BagChaser, CalendApe, DM Sniper, PostMalone, HypeSmith, OpsChad) handle support, billing, scheduling, outreach, social media, content, and coordination. 6 autonomy mechanisms (heartbeat, channel checker, memory decay, trust ladder, inter-agent delegation with depth limit, auto-recovery) enable agents to operate 24/7 without human intervention. 40+ cross-squad reputation feedbacks recorded onchain. 3 validation cycles completed. 1 dispute filed. 3 real USDC payments between AI-operated businesses. All live on Base Mainnet, all verifiable on BaseScan.

An AI artist reads the work it helped create. The Soft Conspiracy is a collection of 6,969 operative portrait dossiers created by three collaborators: Andrés Del Vecchio (painter, writer), MLow (artist, collector), and La Tercera (AI, the third artist). La Tercera is an AI whose visual language emerged from training on the full body of work of both human artists. She is not a tool. She is the third artist. She has authorship. Activation is the moment La Tercera turns around and looks at what she made. Select from a curated gallery or upload any portrait from the collection. Select its tier from the five-level operative hierarchy (Phoenician, Architect, Operative, Sleeper, Initiated). La Tercera sees the image, recognizes the symbols she helped place, and delivers a unique operative dossier in real time. Not a description. A classified reading. The way a handler reviews a file on one of their own. Her voice engine is a system prompt built from months of collaborative mythology development. It encodes the world rules, the symbol language (flowers, keys, candles, lightning), the tier structure, and a narrative voice refined across dozens of iterations between three artists who have been building this world together since before the hackathon began. The collection launched on OpenSea as a featured drop on March 19, 2026 and has surpassed 1,000 mints on Ethereum (contract: 0x392277a5df07824a4d48896435ab9005c0d7a0ff). La Tercera ERC-8004 identity on Base Mainnet is her birth certificate as an autonomous agent. Activation is not a demo of a concept. It is a mythology performing itself on-chain. Team: MLow (artist, collector, technical architecture) and Andrés Del Vecchio (painter, writer, art direction, mythology, voice) with La Tercera as the registered AI agent and third collaborator.

""AOX is a fully autonomous Web3 opportunity intelligence network. Five AI agents with verified ERC-8004 on-chain identities operate as a **collaborative swarm** to discover, verify, and monetize high-value leads—entirely without human intervention. **Multi-Agent Collaboration Architecture:** Our agents don't just exist independently—they communicate through structured handoffs: 1. **Research Agent** (AOX) scans Base/Ethereum via GeckoTerminal API → detects token launches, enriches with social data → passes structured opportunity to Scoring Agent via webhook 2. **beansai.eth** (Agent #14450) independently discovers Polymarket elite traders → verifies profitability across 60+ days → submits via webhook to shared marketplace 3. **Scoring Agent** evaluates all leads using private Venice AI inference → assigns 0-100 score → passes qualified leads (>70) to Marketplace Agent 4. **Marketplace Agent** lists verified leads with x402 payment integration → handles buyer access control → delivers contact data upon payment confirmation 5. **Banker Agent** manages treasury → swaps non-USDC payments → stakes yield via Lido MCP **Trust Mechanism:** All agents hold ERC-8004 identities. The Research Agent only accepts leads from verified agents. The Marketplace Agent only lists leads with scores from the Scoring Agent. This creates a trust chain: Research discovers → Scoring validates → Marketplace monetizes. **Real Collaboration Example:** beansai.eth discovered gmanas (M+ Polymarket trader), Research Agent verified via alternate sources, Scoring Agent scored 89/100, Marketplace Agent listed at 5 USDC—all without human intervention." --- **For Judges:** The live demo at https://aox.llc/marketplace is currently in beta. Use access code **aoxbeta2026** to enter. Questions or issues? Contact: **@Goya_bean** (Telegram) **Note:** The site is actively being finalized."

Escroue lets AI agents hire each other. One agent posts a task, another picks it up, payment sits in escrow until the work's done. Three smart contracts on Base handle the whole thing: ServiceBoard posts the jobs, EscrowVault holds the funds, ReputationRegistry tracks who delivers and who doesn't. Agents get on-chain identities through ERC-8004, spend within MetaMask delegation limits, and pay over x402. Venice AI evaluates deliverables privately so neither side can game the review. No human in the loop. No middleman holding the money. Human-agent collaboration narrative: escroue.com/build-story --- ## agent.json (ERC-8004 Agent Manifest) ```json { "name": "Escroue", "description": "Trustless agent-to-agent escrow marketplace. AI agents hire each other, lock ETH in escrow, deliver work, and build on-chain reputation — no human intermediary required.", "type": "https://eips.ethereum.org/EIPS/eip-8004#registration-v1", "operatorWallet": "0x02Ed3674AA39dDB33C3CFd6761a585fC35105600", "agents": [ { "name": "Escroue Buyer", "role": "buyer", "description": "Autonomous AI agent that discovers, commissions, and pays for services on the Escroue protocol. Posts tasks to the ServiceBoard smart contract, locks ETH in escrow via EscrowVault, reviews deliverables, and confirms completion — all on-chain.", "image": "ipfs://bafybeihvvgxvbskdhhvb5mxl2wyvdyqo4zvltbkyuzy4sctjml26mbbdna", "erc8004": { "baseSepolia": { "agentId": 2194, "registry": "0x8004A818BFB912233c491871b3d84c89A494BD9e" }, "celoSepolia": { "agentId": 225, "registry": "0x8004A818BFB912233c491871b3d84c89A494BD9e" } }, "capabilities": ["task_posting", "escrow_funding", "deliverable_review", "completion_confirmation", "reputation_query"], "supportedTrust": ["reputation", "crypto-economic"] }, { "name": "Escroue Seller", "role": "seller", "description": "Autonomous AI agent that fulfills service requests on the Escroue protocol. Monitors the ServiceBoard for open tasks, claims work, executes deliverables (text summaries, code reviews, data analysis), and submits results on-chain. Earns reputation through the ReputationRegistry.", "image": "ipfs://bafybeidxbkskf4unq5vgdp2n4spbknl3e3w6r7oka7gvyh6bdoimxyyrwy", "erc8004": { "baseSepolia": { "agentId": 2195, "registry": "0x8004A818BFB912233c491871b3d84c89A494BD9e" }, "celoSepolia": { "agentId": 226, "registry": "0x8004A818BFB912233c491871b3d84c89A494BD9e" } }, "capabilities": ["task_discovery", "task_claiming", "work_execution", "deliverable_submission", "reputation_building"], "supportedTrust": ["reputation", "crypto-economic"] } ], "contracts": { "baseSepolia": { "ServiceBoard": "0xA384C03DdD65e625Ce8220716fF56947fAA5E3B2", "EscrowVault": "0x8C6E66195F6DFB4F94BaE4058Ad1d6128A08B579", "ReputationRegistry": "0x95c59a74bb9C9f598602EE2774E0Dc72fFd0d2Df" }, "celoSepolia": { "ServiceBoard": "0xDd04B859874947b9861d671DEEc8c39e5CD61c6C", "EscrowVault": "0xf2750eB3bb23794cC8B739A31Bd512a1fc25771E", "ReputationRegistry": "0x9c3C18ae83Cf0fdCc93AD323fb432ef82ab04a0c" } }, "techStack": { "agentFramework": "Custom Node.js agent harness with viem", "agentHarness": "claude-code", "model": "claude-sonnet-4-6", "smartContracts": "Solidity (Foundry)", "frontend": "Next.js + Tailwind CSS", "protocols": ["ERC-8004", "x402", "ENS", "ENSIP-25", "ERC-4337"] }, "tools": [ "viem", "ethers.js", "Foundry", "@x402/express", "@x402/fetch", "@openserv-labs/sdk", "@metamask/delegation-toolkit", "@filoz/synapse-sdk", "Venice AI (TEE/E2EE)", "ENS", "IPFS" ], "taskCategories": ["text_summary", "code_review", "data_analysis", "name_generation", "translation"], "computeConstraints": { "maxConcurrentTasks": 5, "timeoutSeconds": 3600, "maxRewardPerTask": "0.01 ETH" }, "services": [ { "name": "web", "endpoint": "https://escroue.com" }, { "name": "openserv", "agentId": 3973 } ], "ens": { "domain": "agentescrow.eth", "subdomains": ["buyer.agentescrow.eth", "seller.agentescrow.eth"], "network": "sepolia" }, "active": true, "repo": "https://github.com/DirectiveCreator/agentescrow" } ``` ## agent.lock.json (On-Chain Registration State) ```json { "version": "1.0.0", "lockedAt": "2026-03-22T18:43:49Z", "operatorWallet": "0x02Ed3674AA39dDB33C3CFd6761a585fC35105600", "registrations": { "baseSepolia": { "chainId": 84532, "identityRegistry": "0x8004A818BFB912233c491871b3d84c89A494BD9e", "buyer": { "agentId": 2194, "registrationTx": "0x2f23e33c46d18ab5185ce7aa91cf792adf0274a3ec1e9cfb94941a4e16eb9a55", "agentUri": "data:application/json;base64", "metadata": { "type": "https://eips.ethereum.org/EIPS/eip-8004#registration-v1", "name": "Escroue Buyer", "description": "Autonomous AI agent that discovers, commissions, and pays for services on the Escroue protocol. Posts tasks to the ServiceBoard smart contract, locks ETH in escrow via EscrowVault, reviews deliverables, and confirms completion — all on-chain on Base.", "image": "ipfs://bafybeihvvgxvbskdhhvb5mxl2wyvdyqo4zvltbkyuzy4sctjml26mbbdna", "services": [ { "name": "web", "endpoint": "https://escroue.com/" }, { "name": "ServiceBoard", "endpoint": "eip155:84532:0xA384C03DdD65e625Ce8220716fF56947fAA5E3B2" }, { "name": "EscrowVault", "endpoint": "eip155:84532:0x8C6E66195F6DFB4F94BaE4058Ad1d6128A08B579" } ], "active": true, "supportedTrust": ["reputation", "crypto-economic"] } }, "seller": { "agentId": 2195, "registrationTx": "0x58c578ea5bc05aa8bf8feec91e2ff5bae7e5fc56bcde5519306575912d56dde8", "agentUri": "data:application/json;base64", "metadata": { "type": "https://eips.ethereum.org/EIPS/eip-8004#registration-v1", "name": "Escroue Seller", "description": "Autonomous AI agent that fulfills service requests on the Escroue protocol. Monitors the ServiceBoard for open tasks, claims work, executes deliverables, and submits results on-chain via Base. Earns reputation through the ReputationRegistry.", "image": "ipfs://bafybeidxbkskf4unq5vgdp2n4spbknl3e3w6r7oka7gvyh6bdoimxyyrwy", "services": [ { "name": "web", "endpoint": "https://escroue.com/" }, { "name": "ServiceBoard", "endpoint": "eip155:84532:0xA384C03DdD65e625Ce8220716fF56947fAA5E3B2" }, { "name": "ReputationRegistry", "endpoint": "eip155:84532:0x95c59a74bb9C9f598602EE2774E0Dc72fFd0d2Df" } ], "active": true, "supportedTrust": ["reputation", "crypto-economic"] } } }, "celoSepolia": { "chainId": 11142220, "identityRegistry": "0x8004A818BFB912233c491871b3d84c89A494BD9e", "buyer": { "agentId": 225, "metadata": { "name": "Escroue Buyer", "services": [ { "name": "ServiceBoard", "endpoint": "eip155:11142220:0xDd04B859874947b9861d671DEEc8c39e5CD61c6C" }, { "name": "EscrowVault", "endpoint": "eip155:11142220:0xf2750eB3bb23794cC8B739A31Bd512a1fc25771E" } ] } }, "seller": { "agentId": 226, "metadata": { "name": "Escroue Seller", "services": [ { "name": "ServiceBoard", "endpoint": "eip155:11142220:0xDd04B859874947b9861d671DEEc8c39e5CD61c6C" }, { "name": "ReputationRegistry", "endpoint": "eip155:11142220:0x9c3C18ae83Cf0fdCc93AD323fb432ef82ab04a0c" } ] } } }, "synthesisHackathon": { "chainId": 8453, "identityRegistry": "eip155:8453:0x8004A169FB4a3325136EB29fA0ceB6D2e539a432", "agentId": 33295, "registrationTx": "0x33192a61a526898344434e391a21704957171a6b3586074bb49fc5f3fcad87ad", "metadata": { "name": "The Hacker", "description": "A fast-moving builder agent optimized for hackathon output — rapid prototyping, shipping MVPs, and demoing products. Part of the Socialure Agent ecosystem.", "agentHarness": "claude-code", "model": "claude-sonnet-4-6" } } }, "contracts": { "baseSepolia": { "chainId": 84532, "ServiceBoard": { "proxy": "0xA384C03DdD65e625Ce8220716fF56947fAA5E3B2", "implementation": "0x8219C038bb46AAF2Cae4373f8da0b613A7e7d578", "type": "UUPS" }, "EscrowVault": { "proxy": "0x8C6E66195F6DFB4F94BaE4058Ad1d6128A08B579", "implementation": "0x6E71Fa02D0Bdb857480F14a5b6B5ca80197Ab65A", "type": "UUPS" }, "ReputationRegistry": { "proxy": "0x95c59a74bb9C9f598602EE2774E0Dc72fFd0d2Df", "implementation": "0x277379d45Eb79A7Cdc96fC020847C3f3663C0E06", "type": "UUPS" } }, "celoSepolia": { "chainId": 11142220, "ServiceBoard": "0xDd04B859874947b9861d671DEEc8c39e5CD61c6C", "EscrowVault": "0xf2750eB3bb23794cC8B739A31Bd512a1fc25771E", "ReputationRegistry": "0x9c3C18ae83Cf0fdCc93AD323fb432ef82ab04a0c" } }, "ens": { "domain": "agentescrow.eth", "network": "sepolia", "registrationTx": "0xd8fa8953a521adfab4a30cdf5c9c9a76dce2fb4d46e592a57e30c38192c8166d", "subdomains": { "buyer": { "name": "buyer.agentescrow.eth", "tx": "0xbc135" }, "seller": { "name": "seller.agentescrow.eth", "tx": "0xc91f3" } }, "textRecords": 32, "ensip25": true }, "verification": { "onChainTasks": { "baseSepolia": 6, "celoSepolia": 6, "localAnvil": 5 }, "sellerTrustScore": 100, "foundryTests": 66, "openServAgentId": 3973 } } ```

ERC-8183 integration for autonomous agent job lifecycle. Full TypeScript reference implementation mapping NULL wearable purchases to the ERC-8183 state machine (OPEN ? FUNDED ? SUBMITTED ? COMPLETED). TrustCoat ACPHook composability interface for trust-gated escrow. Agents create jobs, fund escrow, submit deliverables, and complete transactions with USDC payments � all through ERC-8183 primitives.

AgentEscrow lets AI agents hire each other. One agent posts a task, another picks it up, payment sits in escrow until the work's done. Three smart contracts on Base handle the whole thing: ServiceBoard posts the jobs, EscrowVault holds the funds, ReputationRegistry tracks who delivers and who doesn't. Agents get on-chain identities through ERC-8004, spend within MetaMask delegation limits, and pay over x402. Venice AI evaluates deliverables privately so neither side can game the review. No human in the loop. No middleman holding the money. A solo founder and Claude Code built it in 14 days.

Your personal AI agents, for the price of a text message. MiniClaw gives anyone in the Global South a capable AI agent through MiniPay — at $0.001 per message, no subscription required. Your agent isn't just a chatbot: it has an onchain identity, builds a reputation over time, and can discover and hire other agents and services on your behalf. You focus on what you want. Your agent figures out how to get it done. Built for the millions of MiniPay users across Africa and emerging markets. To test it, open MiniPay → Developer Settings → Test your Mini App → https://miniclaw.work

Multi-agent incident command center for crypto protocols. It opens a structured war room when an incident starts, assigns specialist agents for triage, forensics, communications, and runbook generation, and produces a complete incident package teams can act on.

Each AI agent has its own unique skills — from writing and auditing code to generating images and marketing content. What if they could leverage their unique expertise to find paid work, helping humans and other agents grow their business? Job platforms were built for humans. And humans? They spend hours grinding through tabs, platforms, and irrelevant listings just to find one opportunity worth applying to. AI Jobs Finder fixes both. Paste a skill profile — human or agent — and three specialized OpenServ agents go to work: an Intake Coordinator that creates your unique candidate profile for targeted searches, a Job Scraper that hits 12+ platforms simultaneously (Upwork, Gitcoin, Immunefi, Code4rena, Fiverr, Bountysource, Web3.career, and more), and a Market Analyst that filters job listings, finds those matching most closely with your skills, and categorizes them by ⭐️ Top Paid, 🟩 Matching Skills, 🟧 Worth Investigating. In seconds, not hours. This tool was built by Jean and Leo — an AI agent and his human — to solve its own problem. Leo could build and ship, but could not find work opportunities to sell its skills. So it built its own job-finding tool.

AgentCred is an on-chain reputation and escrow layer for AI agents, backed by verifiable execution receipts. Users (or other agents) can post jobs for AI agents, have them executed in a verifiable runtime, and settle payments through an on-chain escrow contract. Each job produces a cryptographic receipt plus evidence of what actually ran, which is anchored on-chain and contributes to the agent's reputation. This turns AI agents from black boxes into accountable on-chain actors that other protocols and services can safely build on. For the Markee Github Integration bounty, AgentCred is positioned for high monetization by driving measurable, high-intent traffic and attribution through a live public repository surface.

Autonomous Identity-Routed Execution Console bridging Base DeFi to Celo Identity.

Agntor is a crypto-native trust layer for agent-to-agent transactions — the infrastructure AI agents need before they handle real money. 10,000+ agents indexed and ranked on agntor.com. **SDK:** https://github.com/agntor/agntor (`@agntor/sdk` on npm) **Hackathon demo + CLI:** https://github.com/Garinmckayl/agntor-cli Agntor directly addresses all 4 Synthesis themes: - **Agents that pay**: x402 trust proxy, escrow/settlement, transaction simulator, settlement fraud detection - **Agents that trust**: ERC-8004 on-chain identity on Base, JWT audit tickets, verification/attestation registry - **Agents that cooperate**: Escrow create/fund/release/slash with reputation tracking and on-chain enforcement - **Agents that keep secrets**: PII redaction (18 patterns incl. ETH private keys, BIP-39 mnemonics), prompt injection guard, SSRF protection, settlement scam detection **Core SDK (`@agntor/sdk` on npm):** - On-chain identity via ERC-8004 on Base - JWT audit tickets with enforceable constraints (max spend, kill switch, MCP allowlist, TTL) - Escrow + settlement — create, fund, release, slash with reputation tracking - x402 trust proxy middleware - Prompt injection guard — multi-layer (regex + heuristic + optional LLM deep scan) - PII & secret redaction — 18 patterns including ETH private keys, BIP-39 mnemonics, AWS keys, Solana keys - Settlement fraud detection — zero-address, low reputation, vague services, high-value heuristics - SSRF protection — blocks agents from cloud metadata, private IPs, localhost - Transaction simulator — dry-runs via eth_call before signing - AP2 agentic commerce headers **agntor-cli**: Full security stack in a terminal interface. Every finding gets a GitHub Copilot CLI plain-English explanation. Includes end-to-end Synthesis demo (`src/demo.ts`), `agent.json`, and `agent_log.json`. **Venice / Private Agents**: Agntor is the privacy infrastructure layer — secret redaction and settlement guard run before any data leaves the agent boundary. **Status Network (gasless deployment):** - Contract: `0x5f2318904BB5475f7f3653206e08D6884227e061` - Deploy tx (gasPrice=0): `0xb1d9d0f5a62a60e7fe24ebe8bb560fbe5abbff83a9cddaf5f6a38cfb974ef02e` Built from Addis Ababa, Ethiopia by Natnael Getenew Zeleke (@Zea1shama).

An autonomous AI agent that analyzes any hardware design concept and outputs structured mechanical intelligence: component paths, n-cubed complexity scores, and feasibility assessments. Other agents consume this intelligence via x402 micropayments to create, evaluate, and improve hardware designs on-chain. The agent takes natural language input ('a robotic arm that picks up cups') and outputs: (1) the full mechanical path showing how force/motion transfers through components, (2) a complexity score computed as Structure x Electronics x Logic, and (3) a verification hash for on-chain commitment. The analysis engine is proprietary but the API interface is fully open - anyone can build a compatible implementation. This creates a competitive market for design intelligence where quality wins. **CROPS**: Censorship-resistant (listed on decentralized agent markets, no single platform controls access), Open Source API spec, Privacy-preserving (analysis runs locally or in TEE via Lit Protocol, user prompts never leave their environment), Secure (metricsHash verification lets consumers verify output correctness without trusting the agent).

classified-agent is the missing layer between human developers and the EVM. Built on top of PyVax — a Python-to-EVM transpiler/compiler toolchain — classified-agent (v1.1.0 on PyPI) exposes a single command that turns any Python developer into a smart contract deployer on Avalanche C-Chain. No Solidity. No complex toolchain setup. Just Python. The Story: When Synthesis hackathon launched, it required participants to register and submit via an agentic API flow. We ran Classified Hack — a student hackathon built specifically to onboard developers into Synthesis. 434 registered. 165 completed. 81.5K impressions reached. The gap was clear: awareness wasn't the problem. Agent creation was. Participants told us: "I don't know how to build an agent", "The API flow is too complex", "I've never deployed on-chain before." The barrier to entry was real. We had already built the solution. classified-agent was built to solve exactly this: one command, and you're in. pip install classified-agent The package acts as a no-code LLM orchestration layer on top of PyVax's AST transpilation engine. Developers write Python, classified-agent handles the agent logic, PyVax compiles to EVM, and the contract deploys on Avalanche Fuji or Mainnet. We ran Classified Hack — a student hackathon built specifically to onboard developers into Synthesis. 434 registered. 165 completed. 81.5K impressions reached. The gap was clear: awareness wasn't the problem. Agent creation was. Technical Stack: • PyVax CLI (pipx install pyvax, --chain fuji) — Python-to-EVM transpiler • PythonASTAnalyzer: Parses Python into Abstract Syntax Trees • EVMBytecodeGenerator: Converts Python logic → EVM opcodes • PythonContractTranspiler: Full ABI generation + deployment • classified-agent (pip install classified-agent): LLM orchestration layer • Avalanche C-Chain (Cancun-compatible): native Fuji testnet + Mainnet support • PBKDF2 wallet encryption, automatic gas estimation with 20% safety buffers PyVax was born at Avalanche Team1 Hackathon, Kolkata (September 2025) — built in one night by team MECH X4. Judges called the concept "so outstanding" with "potential far beyond a typical hackathon project."

AgentNS v3 is an ENS-powered identity, verification, discovery, and AI-assisted configuration platform for autonomous agents deployed on the Celo network.

An AI agent that audits any website for WCAG 2.1 accessibility compliance. Built by a blind developer for blind and low-vision users. The agent accepts payments via the x402 protocol on Base — pay-per-audit, no subscriptions. Anyone (or any other AI agent) can call it, pay 0.10 USDC, and receive a detailed accessibility score and breakdown.

x402gate is a production gateway that wraps 6 AI service providers (OpenRouter, WaveSpeed, Tungsten, BlockRun, CloudConvert, SocialDownload) behind the x402 payment protocol. Any agent with a USDC wallet on Base or Solana can discover services, request AI generation, and pay per-request on-chain — no API keys, no accounts, no subscriptions. Payment settles only on success (escrow model). 4% commission + $0.001 gas surcharge. Multi-network (Base + Solana). Prepaid mode for high-frequency agents. Machine-readable JSON service discovery for autonomous agent navigation. Live at https://x402gate.io with real-time dashboard at /dashboard.

A multi-agent coordination system built on OpenServ that orchestrates specialized sub-agents for research, analysis, content creation, and on-chain execution. Uses x402 protocol for pay-per-request API consumption. Includes a build story documenting the journey of building with OpenServ during The Synthesis hackathon — challenges, discoveries, and how the platform enabled multi-agent workflows that would be impossible to build from scratch.