| --- |
| license: mit |
| language: |
| - en |
| size_categories: |
| - n<1K |
| task_categories: |
| - other |
| tags: |
| - benchmark |
| - computer-use-agent |
| - gui |
| - cli |
| - hybrid-interface |
| - long-horizon |
| pretty_name: WeaveBench |
| --- |
| |
| # WeaveBench |
|
|
| > A long-horizon, real-world benchmark for computer-use agents with **hybrid GUI + CLI + code** interfaces. |
|
|
| 📄 **Paper**: [github.com/Wanli-Lee/WeaveBench (paper.pdf)](https://github.com/Wanli-Lee/WeaveBench/blob/main/paper.pdf) |
| 💻 **Code**: [github.com/Wanli-Lee/WeaveBench](https://github.com/Wanli-Lee/WeaveBench) |
|
|
| WeaveBench evaluates whether a single agent can orchestrate **visual desktop control, command-line execution, code editing, browsers, and external tools** within one long-horizon workflow. Best observed pairing in the paper: **Claude Opus 4.7 + Claude Code at 41.2 % PassRate** — far from saturation. |
|
|
| This HF repository hosts: |
|
|
| 1. **`tasks/`** — the 114 paper-final tasks across 8 domains, ready to drop into the WeaveBench orchestrator. |
| 2. **`runtime_assets/`** — pre-built bootstrap tarballs for the 4 supported in-VM agent harnesses (OpenClaw, Codex CLI, Claude Code, Hermes). |
| |
| --- |
| |
| ## 1. Layout |
| |
| ``` |
| WeaveBench/ |
| ├── tasks/ |
| │ ├── batch1/ batch2/ batch3/ batch_gen/ ← 4 release batches |
| │ │ ├── DAV/ DES/ DOC/ DSK/ GAM/ OPS/ SPA/ WEB/ ← 8 domains |
| │ │ │ └── <DOMAIN>_task_<NN>_<slug>.md ← one file per task |
| │ │ └── workspace/<DOMAIN>/<task_dir>/exec/ ← per-task scaffold |
| │ |
| └── runtime_assets/ |
| ├── openclaw.tar.gz 491 MB (reference harness) |
| ├── codex.tar.gz 125 MB (OpenAI Codex CLI) |
| ├── claudecode.tar.gz 69 MB (Anthropic Claude Code) |
| ├── hermes.tar.gz 121 MB (Nous Research Hermes) |
| └── hermes_mcp_wheels.tar.gz 9 MB (offline mcp wheels for Hermes) |
| ``` |
| |
| Total: **114 tasks** across 8 domains, ~203 MB of task content + ~815 MB of runtime tarballs. |
|
|
| ## 2. Quick download |
|
|
| ```bash |
| # Install the code package first: |
| pip install git+https://github.com/Wanli-Lee/WeaveBench.git |
| |
| # Then fetch dataset + runtimes: |
| weavebench-download-dataset --dest ./cache # tasks/ |
| weavebench-download-assets --dest ./cache # runtime_assets/ |
| |
| # Run one task end-to-end with OpenRouter: |
| export OPENROUTER_API_KEY=sk-or-v1-... |
| weavebench-run \ |
| --harness openclaw --transport messages \ |
| --model anthropic/claude-opus-4 \ |
| --tasks_root ./cache/tasks \ |
| --bench_subdirs batch_gen --categories WEB --task_filter task_1 \ |
| --result_dir ./results/smoke |
| ``` |
|
|
| Or download manually from this repo via the HuggingFace web UI. |
|
|
| ## 3. Per-domain task counts |
|
|
| | Domain | Description | Count | |
| |---|---|---:| |
| | WEB | Web inspection / DevTools / browser auditing | 12 | |
| | DAV | Data-analyst / SRE workflows (Jaeger, Streamlit, dbt, …) | 13 | |
| | DOC | Document / slide / brainstorm editing | 14 | |
| | DSK | Desktop / system / IDE tooling | 15 | |
| | GAM | Gamedev / Godot scene editing | 17 | |
| | OPS | Web-ops, nginx, dashboards | 12 | |
| | SPA | SPA / front-end stateful flows | 11 | |
| | DES | Inkscape / vector / design | ~10 | |
| | **Total** | | **114** | |
|
|
| ## 4. Task `.md` schema |
|
|
| Each task file has these sections in order: |
|
|
| ```markdown |
| # <Human title> |
| |
| ## Goal — short user request (what the agent reads as `instruction`) |
| ## Setup — preconditions assumed to be true in the VM |
| ## Warmup — bash commands the orchestrator runs before the agent starts |
| ## Expected Output — files the agent must produce in /tmp_workspace/results/ |
| ## Grader — Python `def grade(workspace_path, transcript) -> dict` |
| ``` |
|
|
| The grader returns `{"score": float ∈ [0, 1], "scores": {sub_rubric: float, ...}, "msg": "..."}`. |
| **The grader never sees the chat transcript** (`transcript=[]`), so it must be reproducible from artifacts alone. The paper's trajectory-aware judge ([`weavebench/eval/agent_judge`](https://github.com/Wanli-Lee/WeaveBench/tree/main/weavebench/eval/agent_judge)) is the second-pass defense against fabricated visual evidence. |
|
|
| ## 5. Citation |
|
|
| ```bibtex |
| @article{li2026weavebench, |
| title = {WeaveBench: A Long-Horizon, Real-World Benchmark for Computer-Use Agents with Hybrid Interfaces}, |
| author = {Li, Wanli and Zhou, Bowen and Yang, Yifan and Yu, Yunyao and Li, Dongsheng and Xu, Zhou and Shan, Caihua}, |
| year = {2026}, |
| month = {May}, |
| } |
| ``` |
|
|
| ## 6. License |
|
|
| - **Tasks**: MIT. |
| - **Runtime tarballs**: each tarball repackages third-party software (Codex CLI is Apache-2.0; Claude Code, Hermes, OpenClaw retain their upstream terms). See [NOTICE](https://github.com/Wanli-Lee/WeaveBench/blob/main/NOTICE) in the code repo for full attribution. |
|
|
