---
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.