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README.md

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+---
+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.