HKUDS/ClawWork

Dernière activité source enregistrée: 21 février 2026 à 15:50

Catalogue SkillsMP mis à jour: 29 octobre 2026 à 18:30

skills collectés: 1

Étoiles GitHub: 8 565
Forks GitHub: 1 085

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<img alt="image" src="assets/live_banner.png" /><div align="center"> <h1>ClawWork: OpenClaw as Your AI Coworker</h1> <p> <img src="https://img.shields.io/badge/python-≥3.10-blue" alt="Python"> <img src="https://img.shields.io/badge/license-MIT-green" alt="License"> <img src="https://img.shields.io/badge/dataset-GDPVal%20220%20tasks-orange" alt="GDPVal"> <img src="https://img.shields.io/badge/benchmark-economic%20survival-red" alt="Benchmark"> <a href="https://github.com/HKUDS/nanobot"><img src="https://img.shields.io/badge/nanobot-integration-C5EAB4?style=flat&logo=github&logoColor=white" alt="nanobot"></a> <a href="https://github.com/HKUDS/.github/blob/main/profile/README.md"><img src="https://img.shields.io/badge/Feishu-Group-E9DBFC?style=flat&logo=feishu&logoColor=white" alt="Feishu"></a> <a href="https://github.com/HKUDS/.github/blob/main/profile/README.md"><img src="https://img.shields.io/badge/WeChat-Group-C5EAB4?style=flat&logo=wechat&logoColor=white" alt="WeChat"></a> </p> <h3>💰 $19K in 8 Hours — AI Coworker for 44+ Professions</h3> <h4>| Technology & Engineering | Business & Finance | Healthcare & Social Services | Legal, Media & Operations | </h3> <h3><a href="https://hkuds.github.io/ClawWork/">🔴 Watch AI Coworkers Earn Money from Real-Life Tasks</a></h3> | 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% | <p><sub>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).</sub></p> </div> --- <div align="center"> <img src="assets/clawwork_banner.png" alt="ClawWork" width="800"> </div> ### 🚀 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 <h3>🏆 <a href="https://hkuds.github.io/ClawWork/">Live Earning Performance Arena for AI Coworkers</a></h3> <p align="center"> <img src="assets/leaderboard.gif" alt="ClawWork Leaderboard" width="800"> </p> 🎯 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 <p align="center"> <img src="assets/architecture.png" alt="ClawWork Architecture" width="800"> </p>  --- ## 🚀 Quick Start ### Mode 1: Standalone Simulation Get up and running in 3 commands: ```bash # 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 ```bash git clone https://github.com/HKUDS/ClawWork.git cd ClawWork ``` ### Python Environment (Python 3.10+) ```bash # 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 ```bash pip install -r requirements.txt ``` ### Frontend (for Dashboard) ```bash cd frontend && npm install && cd .. ``` ### Environment Variables Copy the provided **`.env.example`** to `.env` and fill in your keys: ```bash 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/`: ```json { "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 ```json "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": 1198.41 } ``` --- ## 🔧 Agent Tools The agent has 8 tools available in standalone simulation mode: | Tool | Description | |------|-------------| | `decide_activity(activity, reasoning)` | Choose: `"work"` or `"learn"` | | `submit_work(work_output, artifact_file_paths)` | Submit completed work for evaluation + payment | | `learn(topic, knowledge)` | Save knowledge to persistent memory (min 200 chars) | | `get_status()` | Check balance, costs, survival tier | | `search_web(query, max_results)` | Web search via Tavily or Jina AI | | `create_file(filename, content, file_type)` | Create .txt, .xlsx, .docx, .pdf documents | | `execute_code_sandbox(code, language)` | Run Python in isolated sandbox (`e2b` default, optional `boxlite`) | | `create_video(slides_json, output_filename)` | Generate MP4 from text/image slides | --- ## 🔗 from AI Assistant to AI Coworker ClawWork transforms [nanobot](https://github.com/HKUDS/nanobot) from an AI assistant into a true AI coworker through economic accountability. With ClawMode integration: **Every conversation costs tokens** — creating real economic pressure. **Income comes from completing real-life professional tasks** — genuine value creation through professional work. **Self-sustaining operation** — nanobot must earn more than it spends to survive. This evolution turns your lightweight AI assistant into an economically viable coworker that must prove its worth through actual productivity. <p align="center"> <img src="assets/clawmode.gif" alt="ClawMode Demo" width="700"> </p> ### What You Get - All 9 nanobot channels (Telegram, Discord, Slack, WhatsApp, Email, Feishu, DingTalk, MoChat, QQ) - All nanobot tools (`read_file`, `write_file`, `exec`, `web_search`, `spawn`, etc.) - **Plus** 4 economic tools (`decide_activity`, `submit_work`, `learn`, `get_status`) - Every response includes a cost footer: `Cost: $0.0075 | Balance: $999.99 | Status: thriving` > **Full setup instructions**: See [clawmode_integration/README.md](clawmode_integration/README.md) --- ## 📊 Dashboard <p align="center"> <img src="assets/dashboard_preview.png" alt="ClawWork Dashboard" width="800"> </p> The React dashboard at `http://localhost:3000` shows live metrics via WebSocket: **Main Tab** - Balance chart (real-time line graph) - Activity distribution (work vs learn) - Economic metrics: income, costs, net worth, survival status **Work Tasks Tab** - All assigned GDPVal tasks with sector & occupation - Payment amounts and quality scores - Full task prompts and submitted artifacts **Learning Tab** - Knowledge entries organized by topic - Learning timeline - Searchable knowledge base --- ## 📁 Project Structure ``` ClawWork/ ├── livebench/ │ ├── agent/ │ │ ├── live_agent.py # Main agent orchestrator │ │ └── economic_tracker.py # Balance, costs, income tracking │ ├── work/ │ │ ├── task_manager.py # GDPVal task loading & assignment │ │ └── evaluator.py # LLM-based work evaluation │ ├── tools/ │ │ ├── direct_tools.py # Core tools (decide, submit, learn, status) │ │ └── productivity/ # search_web, create_file, execute_code, create_video │ ├── api/ │ │ └── server.py # FastAPI backend + WebSocket │ ├── prompts/ │ │ └── live_agent_prompt.py # System prompts │ └── configs/ # Agent configuration files ├── clawmode_integration/ │ ├── agent_loop.py # ClawWorkAgentLoop + /clawwork command │ ├── task_classifier.py # Occupation classifier (40 categories) │ ├── config.py # Plugin config from ~/.nanobot/config.json │ ├── provider_wrapper.py # TrackedProvider (cost interception) │ ├── cli.py # `python -m clawmode_integration.cli agent|gateway` │ ├── skill/ │ │ └── SKILL.md # Economic protocol skill for nanobot │ └── README.md # Integration setup guide ├── eval/ │ ├── meta_prompts/ # Category-specific evaluation rubrics │ └── generate_meta_prompts.py # Meta-prompt generator ├── scripts/ │ ├── estimate_task_hours.py # GPT-based hour estimation per task │ └── calculate_task_values.py # BLS wage × hours = task value ├── frontend/ │ └── src/ # React dashboard ├── start_dashboard.sh # Launch backend + frontend └── run_test_agent.sh # Run test agent ``` --- ## 📈 Benchmark Metrics ClawWork measures AI coworker performance across: | Metric | Description | |--------|-------------| | **Survival days** | How long the agent stays solvent | | **Final balance** | Net economic result | | **Total work income** | Gross earnings from completed tasks | | **Profit margin** | `(income - costs) / costs` | | **Work quality** | Average quality score (0–1) across tasks | | **Token efficiency** | Income earned per dollar spent on tokens | | **Activity mix** | % work vs. % learn decisions | | **Task completion rate** | Tasks completed / tasks assigned | --- ## 🛠️ Troubleshooting **Dashboard not updating** → Hard refresh: `Ctrl+Shift+R` **Agent not earning money** → Check for `submit_work` calls and `"💰 Earned: $XX"` in console. Ensure `OPENAI_API_KEY` is set. **Port conflicts** ```bash lsof -ti:8000 | xargs kill -9 lsof -ti:3000 | xargs kill -9 ``` **Proxy errors during pip install** ```bash unset http_proxy https_proxy HTTP_PROXY HTTPS_PROXY pip install -r requirements.txt ``` **Sandbox backend unavailable** → Install `e2b-code-interpreter` (default backend) or `boxlite[sync]` (experimental local backend), then set `CODE_SANDBOX_PROVIDER` to `e2b` or `boxlite`. **`SyncCodeBox` import failed** → Reinstall BoxLite with sync extras: `pip install "boxlite[sync]>=0.6.0"`. **E2B sandbox rate limit (429)** → Applies when using `CODE_SANDBOX_PROVIDER=e2b` (default). Wait ~1 min for stale sandboxes to expire. **ClawMode: `ModuleNotFoundError: clawmode_integration`** → Run `export PYTHONPATH="$(pwd):$PYTHONPATH"` from the repo root. **ClawMode: balance not decreasing** → Balance only tracks costs through the ClawMode gateway. Direct `nanobot agent` commands bypass the economic tracker. --- ## 🤝 Contributing PRs and issues welcome! The codebase is clean and modular. Key extension points: - **New task sources**: Implement `_load_from_*()` in `livebench/work/task_manager.py` - **New tools**: Add `@tool` functions in `livebench/tools/direct_tools.py` - **New evaluation rubrics**: Add category JSON in `eval/meta_prompts/` - **New LLM providers**: Works out of the box via LangChain / LiteLLM **Roadmap** - [ ] Multi-task days — agent chooses from a marketplace of available tasks - [ ] Task difficulty tiers with variable payment scaling - [ ] Semantic memory retrieval for smarter learning reuse - [ ] Multi-agent competition leaderboard - [ ] More AI agent frameworks beyond Nanobot --- ## ⭐ Star History <div align="center"> <a href="https://star-history.com/#HKUDS/ClawWork&Date"> <picture> <source media="(prefers-color-scheme: dark)" srcset="https://api.star-history.com/svg?repos=HKUDS/ClawWork&type=Date&theme=dark" /> <source media="(prefers-color-scheme: light)" srcset="https://api.star-history.com/svg?repos=HKUDS/ClawWork&type=Date" /> <img alt="Star History Chart" src="https://api.star-history.com/svg?repos=HKUDS/ClawWork&type=Date" style="border-radius: 15px; box-shadow: 0 0 30px rgba(0, 217, 255, 0.3);" /> </picture> </a> </div> <p align="center"> <sub>ClawWork is for educational, research, and technical exchange purposes only</sub> </p> <p align="center"> <em> Thanks for visiting ✨ ClawWork!</em><br><br> <img src="https://visitor-badge.laobi.icu/badge?page_id=HKUDS.ClawWork&style=for-the-badge&color=00d4ff" alt="Views"> </p>

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ClawWork economic survival protocol — work/learn daily cycle

Langue du texte source : anglais

2026-02-21

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