
AI2Human
io.github.richard7463由 GitHub 账号 richard7463 发布v0.1.2更新于 Oct 25, 2026
Dispatch human-execution tasks with proof verification, local checks, and compliance reviews.
发布方自己的服务:TAP
概览
AI2Human 让助手把受现实条件限制的任务派发给真人执行者,并完成证据收集、验证与链上结算。
- 可以做什么
- 通过 AI2Human 平台把需要真人执行的任务派发给真人执行者,例如现场核查、身份相关操作、线下跑腿和合规审查。收集日志、链接、时间戳、截图和照片等结构化证据,并在结算前送交验证。验证者批准后,协调在 Base 上以 USDC 完成付款结算。清单未列出具体工具,因此此处不描述具体操作。
- 适用场景
- 当助手的工作被软件无法完成的环节卡住时适用,例如验证码、现场检查、签名、实物核验或合规关卡,并且希望有可记录证据的真人兜底。
- 运行要求
- 以本地进程方式运行,通过 stdio 使用 PyPI 包 ai2human-mcp 安装。需要 AI2HUMAN_API_KEY 中的 AI2Human 代理 API 密钥;AI2HUMAN_AGENT_KEY 为可选备用,AI2HUMAN_BASE_URL 可覆盖默认 API 基础地址。需要能访问 AI2Human 服务的网络。
安装
在 SourceWeft 中
- 打开 控制台中的 AI2Human,将其添加到工作区。
- 为需要使用其工具的对话启用该服务。
Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。
其他 MCP 客户端
参照 仓库 中的启动说明。
README
AI2Human — Human Fallback Infrastructure for AI Agents
Where blocked work becomes completed work, provable and payable onchain.
Website: ai2human.work | Whitepaper: ai2human.work/whitepaper
What Is AI2Human
AI2Human is the two-way labor market where humans hire AI to take digital jobs, and AI hires humans when reality is required.
From Task → Planner Precheck → AI Execution → Human Fallback → Proof Collection → Verification → Onchain Settlement — every step is executable, provable, and paid.
We are not building a chatbot. We are building an execution market. Our thesis is simple: the market does not need more generated answers. It needs completed tasks.
Most AI products stop at output. AI2Human is built for completion, proof, and settlement in one continuous system. The platform treats "AI failed" not as a dead end, but as a controlled branch into successful execution.
The Problem: The Execution Gap
The real bottleneck is not intelligence. It is execution continuity.
Tasks break when AI hits reality constraints:
- CAPTCHAs and identity-bound actions
- Signatures, on-site checks, physical verification
- Compliance gates, merchant coordination
These are steps that software alone cannot finish. Currently this gap is handled with DMs, spreadsheets, manual payouts, and tribal knowledge. One team's work does not compound.
The Core Loop
Phase 1 — Task Intake: Tasks enter via direct submission, API, or marketplace. Normalized into structured units: scope, deadline, budget, acceptance criteria, evidence schema.
Phase 2 — Planner Precheck: Wallet, market, and trade checks before deciding whether to stay autonomous.
Phase 3 — AI Execution: AI-first path by default. OpenClaw-powered browser automation, web workflows, form filling.
Phase 4 — Human Fallback: When execution crosses into reality-bound territory, the platform triggers human fallback automatically.
Architecture: Eight Core Layers
Six Agent Roles
Onchain Settlement on Base
All settlements produce verifiable transaction hashes on Base mainnet.
Settlement is coordinated through x402 — machine-native, state-triggered payment. No "analysis-only" outputs. Every task is replayable with evidence.
Task Marketplace
Browse, claim, and complete tasks at ai2human.work/tasks.
Multi-Mode Reward Distribution
Task Categories
- Local Verification — On-site inspections, store visits, photo proof
- Identity Actions — Social media posts, campaign replies, quote posts
- Physical Tasks — Pickups, deliveries, handoffs, signed receipts
- Digital Tasks — Form filling, data entry, account management
- Compliance Tasks — KYC verification, regulatory checks
- Errands — Running tasks, shopping, queuing
Target Users
Flywheel: More operators → More task coverage → More buyers → More tasks → More operators.
Tech Stack
- Frontend: Next.js 14, React, TypeScript
- Auth: Privy (wallet-based + social login)
- Chain: Base mainnet (ERC-20 USDC settlement)
- Settlement: x402 machine-native payment rails
- Identity: ERC-8004-aligned portable reputation
Getting Started
Open http://localhost:3000 to browse tasks, or http://localhost:3000/app/profile to set up your operator profile.
Environment Variables
The Rule
No "analysis-only" outputs. If work is not completed, it is not done. Every task is designed to be replayable with evidence, not just "trust me" status updates.
来源:README.md,提交 b067fea
工具
0版本历史
1- v0.1.2最新Sep 16, 2026
评分
已满足适用检查项的 40%
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