
AI2Human
io.github.richard7463由 GitHub 帳號 richard7463 發布v0.1.2更新於 Oct 25, 2026
Dispatch human-execution tasks with proof verification, local checks, and compliance reviews.
發布方自己的服務:TAP
概覽
AI2Human 讓助理把受現實條件限制的任務派發給真人執行者,並完成證據收集、驗證與鏈上結算。
- 可以做什麼
- 透過 AI2Human 平台把需要真人執行的任務派發給真人執行者,例如現場查核、身分相關操作、線下跑腿和合規審查。收集日誌、連結、時間戳、截圖和照片等結構化證據,並在結算前送交驗證。驗證者核准後,協調在 Base 上以 USDC 完成付款結算。清單未列出具體工具,因此此處不描述具體操作。
- 適用情境
- 當助理的工作被軟體無法完成的環節卡住時適用,例如驗證碼、現場檢查、簽名、實物核驗或合規關卡,並且希望有可記錄證據的真人備援。
- 執行需求
- 以本機程序方式執行,透過 stdio 使用 PyPI 套件 ai2human-mcp 安裝。需要 AI2HUMAN_API_KEY 中的 AI2Human 代理 API 金鑰;AI2HUMAN_AGENT_KEY 為選用備援,AI2HUMAN_BASE_URL 可覆寫預設 API 基礎位址。需要能連線至 AI2Human 服務的網路。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 AI2Human,將其新增到工作區。
- 為需要使用其工具的對話啟用該服務。
Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。
其他 MCP 客戶端
參照 儲存庫 中的啟動說明。
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.
來源:README.md,提交 b067fea
工具
0版本歷史
1- v0.1.2最新Sep 16, 2026
評分
已滿足適用檢查項的 40%
該評分衡量此收錄條目的完整程度,依據註冊中心條目、端點與公開來源計算得出。它不是對伺服器本身的評價,也不表示伺服器安全或目前可用:可連通性是帶日期的檢查結果,評分也不包含安裝量或使用者評價。
- 近 30 天內可連通25 分
請保持端點能夠回應 MCP 握手;SourceWeft 每 30 天探測一次。
- 已宣告認證方式10 分
請在註冊中心條目中宣告憑證請求標頭,或保持端點能夠回應探測,以便判定其認證方式。
- 已列出工具15 分
請讓伺服器在無憑證時回應 tools/list,或發布可在沙箱中無憑證啟動的軟體包。
- 描述必需15 分
- 圖示10 分
- 文件15 分
- 授權條款10 分
請在儲存庫或註冊中心條目中宣告授權條款。
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