--- title: "ClawBench vs WeaveBench" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/tiger-ai-lab-clawbench-vs-weavebench-weavebench" tools: ["tiger-ai-lab-clawbench", "weavebench-weavebench"] --- # ClawBench vs WeaveBench *GraphCanon updated Jul 29, 2026* ## Verdict Pick ClawBench if clawBench offers an open-source benchmark framework for evaluating browser-based AI agents on real-world online tasks; pick WeaveBench if weaveBench is designed for evaluating computer-use agents that integrate both GUI and CLI interactions in real-world scenarios across various work domains. [ClawBench](https://claw-bench.com) reports 532 GitHub stars, 30 forks, and 47 open issues, last pushed Jul 28, 2026. [WeaveBench](https://weavebench.github.io) has 157 stars, 1 forks, and 4 open issues, last pushed Jul 22, 2026. Figures are from public GitHub metadata via [ClawBench's repository](https://github.com/TIGER-AI-Lab/ClawBench) and [WeaveBench's repository](https://github.com/weavebench/WeaveBench). | | [ClawBench](/tools/tiger-ai-lab-clawbench.md) | [WeaveBench](/tools/weavebench-weavebench.md) | | --- | --- | --- | | Tagline | Open-source benchmark for browser AI agents on daily tasks | A Long-Horizon Real-World Benchmark for Computer-Use Agents with Hybrid Interfaces | | Stars | 532 | 157 | | Forks | 30 | 1 | | Open issues | 47 | 4 | | Language | Python | Python | | Adopt for | ClawBench offers an open-source benchmark framework for evaluating browser-based AI agents on real-world online tasks. | WeaveBench is designed for evaluating computer-use agents that integrate both GUI and CLI interactions in real-world scenarios across various work domains. | | Persona | - | - | | Runtime | - | - | | License | ClawBench operates under the Apache-2.0 license, offering a permissive free software license that encourages software reuse and interoperability. | MIT | | Categories | AI Agents, Evaluation & Observability | AI Agents, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ClawBench](/tools/tiger-ai-lab-clawbench.md) | [WeaveBench](/tools/weavebench-weavebench.md) | | --- | --- | --- | | Days since push | 0d | 6d | | Open issues (now) | 47 | 4 | | Full report | [trust report](/tools/tiger-ai-lab-clawbench/trust.md) | [trust report](/tools/weavebench-weavebench/trust.md) | ## Decision facts: ClawBench - **Requirements:** Requires setup for browser automation tasks within the Chrome environment. - **Adopt for:** ClawBench offers an open-source benchmark framework for evaluating browser-based AI agents on real-world online tasks. - **License detail:** ClawBench operates under the Apache-2.0 license, offering a permissive free software license that encourages software reuse and interoperability. ## Decision facts: WeaveBench - **Adopt for:** WeaveBench is designed for evaluating computer-use agents that integrate both GUI and CLI interactions in real-world scenarios across various work domains. ## Choose when ### Choose ClawBench if… - License: ClawBench is Apache-2.0, WeaveBench is MIT. - Requirements: Requires setup for browser automation tasks within the Chrome environment.. - Tags unique to ClawBench: agent-evaluation, agentic-ai, browser-agent, real-world-benchmark. - You are developing a browser AI agent and wish to measure its performance against everyday online activities, as ClawBench specifically simulates these scenarios. ### Choose WeaveBench if… - License: WeaveBench is MIT, ClawBench is Apache-2.0. - Tags unique to WeaveBench: agent-as-judge, benchmark, computer-use-agent, gui-agent. - Use WeaveBench if you need to assess agents capable of handling tasks that require intermingling graphical user interface operations with command-line or code-based actions. ## When NOT to use ClawBench - If your focus is solely on backend server-based AI evaluations without a browser interface involvement, ClawBench will not be the appropriate choice. - For those developing standalone applications or mobile agents, ClawBench’s browser-centric tasks will not reflect their operational capabilities accurately. ## When NOT to use WeaveBench - Avoid WeaveBench if your testing needs do not involve scenarios that require the integration of both GUI and CLI operations. - Do not use it when you are specifically interested only in benchmarking agents designed for single-channel tasks, either strictly CLI-based or purely graphical interface-driven. ## Common questions ### What is the difference between ClawBench and WeaveBench? ClawBench: Open-source benchmark for browser AI agents on daily tasks. WeaveBench: A Long-Horizon Real-World Benchmark for Computer-Use Agents with Hybrid Interfaces. See the comparison table for live GitHub stats and shared categories. ### When should I choose ClawBench over WeaveBench? Choose ClawBench over WeaveBench when License: ClawBench is Apache-2.0, WeaveBench is MIT; Requirements: Requires setup for browser automation tasks within the Chrome environment.; Tags unique to ClawBench: agent-evaluation, agentic-ai, browser-agent, real-world-benchmark; You are developing a browser AI agent and wish to measure its performance against everyday online activities, as ClawBench specifically simulates these scenarios. ### When should I choose WeaveBench over ClawBench? Choose WeaveBench over ClawBench when License: WeaveBench is MIT, ClawBench is Apache-2.0; Tags unique to WeaveBench: agent-as-judge, benchmark, computer-use-agent, gui-agent; Use WeaveBench if you need to assess agents capable of handling tasks that require intermingling graphical user interface operations with command-line or code-based actions. ### When should I avoid ClawBench? If your focus is solely on backend server-based AI evaluations without a browser interface involvement, ClawBench will not be the appropriate choice. For those developing standalone applications or mobile agents, ClawBench’s browser-centric tasks will not reflect their operational capabilities accurately. ### When should I avoid WeaveBench? Avoid WeaveBench if your testing needs do not involve scenarios that require the integration of both GUI and CLI operations. Do not use it when you are specifically interested only in benchmarking agents designed for single-channel tasks, either strictly CLI-based or purely graphical interface-driven. ### Is ClawBench or WeaveBench more popular on GitHub? ClawBench has more GitHub stars (532 vs 157). Stars measure visibility, not whether either tool fits your constraints. ### Are ClawBench and WeaveBench open source? Yes - both are open-source projects on GitHub (ClawBench: Apache-2.0, WeaveBench: MIT). ### Where can I find alternatives to ClawBench or WeaveBench? GraphCanon lists graph-backed alternatives at [ClawBench alternatives](/tools/tiger-ai-lab-clawbench/alternatives) and [WeaveBench alternatives](/tools/weavebench-weavebench/alternatives) ([ClawBench markdown twin](/tools/tiger-ai-lab-clawbench/alternatives.md), [WeaveBench markdown twin](/tools/weavebench-weavebench/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/tiger-ai-lab-clawbench-vs-weavebench-weavebench.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ClawBench or WeaveBench? ClawBench: Very active. WeaveBench: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for ClawBench and WeaveBench? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ClawBench trust report](/tools/tiger-ai-lab-clawbench/trust); [WeaveBench trust report](/tools/weavebench-weavebench/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=tiger-ai-lab-clawbench`](/api/graphcanon/graph?tool=tiger-ai-lab-clawbench) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_