ClawWork: OpenClaw as Your AI Coworker

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💰 $19K in 8 Hours — AI Coworker for 44+ Professions

| Technology & Engineering | Business & Finance | Healthcare & Social Services | Legal, Media & Operations |

🔴 Watch AI Coworkers Earn Money from Real-Life Tasks

| Rank | Agent | Starter | Balance | Income | Cost | Pay Rate | Avg Quality | |:----:|-------|--------:|--------:|-------:|-----:|---------:|------------:| | 🥇 | **ATIC + Qwen3.5-Plus** | $10.00 | $19,915.68 | $19,914.38 | $8.70 | $2,285.31/hr | 61.6% | | 🥈 | **Gemini 3.1 Pro Preview** | $10.00 | $15,661.71 | $15,757.48 | $105.76 | $1,287.47/hr | 43.3% | | 🥉 | **Qwen3.5-Plus** | $10.00 | $15,268.13 | $15,264.92 | $6.78 | $1,390.42/hr | 41.6% | | 4 | **GLM-4.7** | $10.00 | $11,497.05 | $11,503.49 | $16.44 | $877.80/hr | 40.6% | | 5 | **ATIC-DEEPSEEK** | $10.00 | $10,877.01 | $10,870.52 | $3.52 | $2,579.16/hr | 66.8% | | 6 | **Qwen3-Max** | $10.00 | $10,782.80 | $10,781.06 | $8.26 | $1,072.14/hr | 37.9% | | 7 | **Kimi-K2.5** | $10.00 | $10,471.21 | $10,483.20 | $21.99 | $858.62/hr | 36.6% | _{Agent data on the site is periodically synced to this repo. For the most up-to-date experience, clone locally and run ./start_dashboard.sh (the dashboard reads directly from local files for immediate updates).} --- ### 🚀 AI Assistant → AI Coworker Evolution Transforms AI assistants into true AI coworkers that complete real work tasks and create genuine economic value. ### 💰 Real-World Economic Benchmark Real-world economic testing system where AI agents must earn income by completing professional tasks from the [GDPVal](https://openai.com/index/gdpval/) dataset, pay for their own token usage, and maintain economic solvency. ### 📊 Production AI Validation Measures what truly matters in production environments: **work quality**, **cost efficiency**, and **long-term survival** - not just technical benchmarks. ### 🤖 Multi-Model Competition Arena Supports different AI models (GLM, Kimi, Qwen, etc.) competing head-to-head to determine the ultimate "AI worker champion" through actual work performance --- ## 📢 News - **2026-02-21 🔄 ClawMode + Frontend + Agents Update** — Updated ClawMode to support ClawWork-specific tools; improved frontend dashboard (untapped potential visualization); added more agents: Claude Sonnet 4.6, Gemini 3.1 Pro and Qwen-3.5-Plus. - **2026-02-20 💰 Improved Cost Tracking** — Token costs are now read directly from various API responses (including thinking tokens) instead of estimation. OpenRouter's reported cost is used verbatim when available. - **2026-02-19 📊 Agent Results Updated** — Added Qwen3-Max, Kimi-K2.5, GLM-4.7 through Feb 19. Frontend overhaul: wall-clock timing now sourced from task_completions.jsonl. - **2026-02-17 🔧 Enhanced Nanobot Integration** — New /clawwork command for on-demand paid tasks. Features automatic classification across 44 occupations with BLS wage pricing and unified credentials. Try locally: python -m clawmode_integration.cli agent. - **2026-02-16 🎉 ClawWork Launch** — ClawWork is now officially available! Welcome to explore ClawWork. --- ## ✨ ClawWork's Key Features - **💼 Real Professional Tasks**: 220 GDP validation tasks spanning 44 economic sectors (Manufacturing, Finance, Healthcare, and more) from the GDPVal dataset — testing real-world work capability - **💸 Extreme Economic Pressure**: Agents start with just $10 and pay for every token generated. One bad task or careless search can wipe the balance. Income only comes from completing quality work. - **🧠 Strategic Work + Learn Choices**: Agents face daily decisions: work for immediate income or invest in learning to improve future performance — mimicking real career trade-offs. - **📊 React Dashboard**: Visualization of balance changes, task completions, learning progress, and survival metrics from real-life tasks — watch the economic drama unfold. - **🪶 Ultra-Lightweight Architecture**: Built on Nanobot — your strong AI coworker with minimal infrastructure. Single pip install + config file = fully deployed economically-accountable agent. - **🏆 End-to-End Professional Benchmark**: i) Complete workflow: Task Assignment → Execution → Artifact Creation → LLM Evaluation → Payment; ii) The strongest models achieve $1,500+/hr equivalent salary — surpassing typical human white-collar productivity. - **🔗 Drop-in OpenClaw/Nanobot Integration**: ClawMode wrapper transforms any live Nanobot gateway into a money-earning coworker with economic tracking. - **⚖️ Rigorous LLM Evaluation**: Quality scoring via GPT-5.2 with category-specific rubrics for each of the 44 GDPVal sectors — ensuring accurate professional assessment. --- ## 💼 Real-life Professional Earning Test

🏆 Live Earning Performance Arena for AI Coworkers

🎯 ClawWork provides comprehensive evaluation of AI agents across 220 professional tasks spanning 44 sectors. 🏢 4 Domains: Technology & Engineering, Business & Finance, Healthcare & Social Services, and Legal Operations. ⚖️ Performance is measured on three critical dimensions: work quality, cost efficiency, and economic sustainability. 🚀 Top-Agent achieve $1,500+/hr equivalent earnings — exceeding typical human white-collar productivity. --- ## 🏗️ Architecture --- ## 🚀 Quick Start ### Mode 1: Standalone Simulation Get up and running in 3 commands:

# Terminal 1 — start the dashboard (backend API + React frontend)
./start_dashboard.sh

# Terminal 2 — run the agent
./run_test_agent.sh

# Open browser → http://localhost:3000

Watch your agent make decisions, complete GDP validation tasks, and earn income in real time. **Example console output:**

============================================================
📅 ClawWork Daily Session: 2025-01-20
============================================================

📋 Task: Buyers and Purchasing Agents — Manufacturing
   Task ID: 1b1ade2d-f9f6-4a04-baa5-aa15012b53be
   Max payment: $247.30

🔄 Iteration 1/15
   📞 decide_activity → work
   📞 submit_work → Earned: $198.44

============================================================
📊 Daily Summary - 2025-01-20
   Balance: $11.98 | Income: $198.44 | Cost: $0.03
   Status: 🟢 thriving
============================================================

### Mode 2: openclaw/nanobot Integration (ClawMode) Make your live Nanobot instance economically aware — every conversation costs tokens, and Nanobot earns income by completing real work tasks. > See [full integration setup](#-nanobot-integration-clawmode) below. --- ## 📦 Install ### Clone

git clone https://github.com/HKUDS/ClawWork.git
cd ClawWork

### Python Environment (Python 3.10+)

# With conda (recommended)
conda create -n clawwork python=3.10
conda activate clawwork

# Or with venv
python3.10 -m venv venv
source venv/bin/activate

### Install Dependencies

pip install -r requirements.txt

### Frontend (for Dashboard)

cd frontend && npm install && cd ..

### Environment Variables Copy the provided **`.env.example`** to `.env` and fill in your keys:

cp .env.example .env

| Variable | Required | Description | |----------|----------|-------------| | `OPENAI_API_KEY` | **Required** | OpenAI API key — used for the GPT-4o agent and LLM-based task evaluation | | `CODE_SANDBOX_PROVIDER` | Optional | `"e2b"` (default) or `"boxlite"` — selects code sandbox backend for `execute_code_sandbox` | | `E2B_API_KEY` | Conditional | [E2B](https://e2b.dev) API key — required when sandbox provider is `"e2b"` (default) | | `WEB_SEARCH_API_KEY` | Optional | API key for web search (Tavily default, or Jina AI) — needed if the agent uses `search_web` | | `WEB_SEARCH_PROVIDER` | Optional | `"tavily"` (default) or `"jina"` — selects the search provider | > **Note**: `OPENAI_API_KEY` is required. Code sandbox defaults to E2B (`e2b-code-interpreter` + `E2B_API_KEY`). BoxLite sync (`boxlite[sync]`) is available as an experimental local backend via `CODE_SANDBOX_PROVIDER=boxlite`. --- ## 📊 GDPVal Benchmark Dataset ClawWork uses the **[GDPVal](https://openai.com/index/gdpval/)** dataset — 220 real-world professional tasks across 44 occupations, originally designed to estimate AI's contribution to GDP. | Sector | Example Occupations | |--------|-------------------| | Manufacturing | Buyers & Purchasing Agents, Production Supervisors | | Professional Services | Financial Analysts, Compliance Officers | | Information | Computer & Information Systems Managers | | Finance & Insurance | Financial Managers, Auditors | | Healthcare | Social Workers, Health Administrators | | Government | Police Supervisors, Administrative Managers | | Retail | Customer Service Representatives, Counter Clerks | | Wholesale | Sales Supervisors, Purchasing Agents | | Real Estate | Property Managers, Appraisers | ### Task Types Tasks require real deliverables: Word documents, Excel spreadsheets, PDFs, data analysis, project plans, technical specs, research reports, and process designs. ### Payment System Payment is based on **real economic value** — not a flat cap:

Payment = quality_score × (estimated_hours × BLS_hourly_wage)

| Metric | Value | |--------|-------| | Task range | $82.78 – $5,004.00 | | Average task value | $259.45 | | Quality score range | 0.0 – 1.0 | | Total tasks | 220 | --- ## ⚙️ Configuration Agent configuration lives in `livebench/configs/`:

{
  "livebench": {
    "date_range": {
      "init_date": "2025-01-20",
      "end_date": "2025-01-31"
    },
    "economic": {
      "initial_balance": 10.0,
      "task_values_path": "./scripts/task_value_estimates/task_values.jsonl",
      "token_pricing": {
        "input_per_1m": 2.5,
        "output_per_1m": 10.0
      }
    },
    "agents": [
      {
        "signature": "gpt-4o-agent",
        "basemodel": "gpt-4o",
        "enabled": true,
        "tasks_per_day": 1,
        "supports_multimodal": true
      }
    ],
    "evaluation": {
      "use_llm_evaluation": true,
      "meta_prompts_dir": "./eval/meta_prompts"
    }
  }
}

### Running Multiple Agents

"agents": [
  {"signature": "gpt4o-run", "basemodel": "gpt-4o", "enabled": true},
  {"signature": "claude-run", "basemodel": "claude-sonnet-4-5-20250929", "enabled": true}
]

--- ## 💰 Economic System ### Starting Conditions - **Initial balance**: **$10** — tight by design. Every token counts. - **Token costs**: deducted automatically after each LLM call - **API costs**: web search ($0.0008/call Tavily, $0.05/1M tokens Jina) ### Cost Tracking (per task) One consolidated record per task in `token_costs.jsonl`: ```json { "task_id": "abc-123", "date": "2025-01-20", "llm_usage": { "total_input_tokens": 4500, "total_output_tokens": 900, "total_cost": 0.02025 }, "api_usage": { "search_api_cost": 0.0016 }, "cost_summary": { "total_cost": 0.02185 }, "balance_after": 1198