--- title: "agentic-vbench vs ClawBench" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/philolabs-agentic-vbench-vs-tiger-ai-lab-clawbench" tools: ["philolabs-agentic-vbench", "tiger-ai-lab-clawbench"] --- # agentic-vbench vs ClawBench *GraphCanon updated Sep 20, 2026* ## Verdict Pick agentic-vbench if agenticVBench evaluates AI agents' real-world post-production capabilities with specific task prompts for activities like audio restoration; pick ClawBench if clawBench offers an open-source benchmark framework for evaluating browser-based AI agents on real-world online tasks. [agentic-vbench](https://agenticvbench.com/) reports 96 GitHub stars, 27 forks, and 37 open issues, last pushed Sep 2, 2026. [ClawBench](https://claw-bench.com) has 796 stars, 58 forks, and 46 open issues, last pushed Sep 20, 2026. Figures are from public GitHub metadata via [agentic-vbench's repository](https://github.com/PhiloLabs/agentic-vbench) and [ClawBench's repository](https://github.com/TIGER-AI-Lab/ClawBench). | | [agentic-vbench](/tools/philolabs-agentic-vbench.md) | [ClawBench](/tools/tiger-ai-lab-clawbench.md) | | --- | --- | --- | | Tagline | A benchmark for evaluating AI agents in performing real-world post-production tasks like audio and video editing. | Open-source benchmark for browser AI agents on daily tasks | | Stars | 96 | 796 | | Forks | 27 | 58 | | Open issues | 37 | 46 | | Language | Python | Python | | Adopt for | AgenticVBench evaluates AI agents' real-world post-production capabilities with specific task prompts for activities like audio restoration. | ClawBench offers an open-source benchmark framework for evaluating browser-based AI agents on real-world online tasks. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | ClawBench operates under the Apache-2.0 license, offering a permissive free software license that encourages software reuse and interoperability. | | Categories | AI Agents, Evaluation & Observability | AI Agents, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agentic-vbench](/tools/philolabs-agentic-vbench.md) | [ClawBench](/tools/tiger-ai-lab-clawbench.md) | | --- | --- | --- | | Days since push | 6d | 0d | | Open issues (now) | 37 | 46 | | Stars delta | +14 (30d) | +264 (30d) | | Open issues delta | -20 (30d) | -1 (30d) | | Full report | [trust report](/tools/philolabs-agentic-vbench/trust.md) | [trust report](/tools/tiger-ai-lab-clawbench/trust.md) | ## Shared compatibility - **Python**: [agentic-vbench](/tools/philolabs-agentic-vbench.md) - Python runtime; [ClawBench](/tools/tiger-ai-lab-clawbench.md) - Python runtime ## Decision facts: agentic-vbench - **Requirements:** Requires Docker; Install via scripts provided in the repository.; Python virtual environment setup for reproducibility. - **Adopt for:** AgenticVBench evaluates AI agents' real-world post-production capabilities with specific task prompts for activities like audio restoration. ## 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. ## Choose when ### Choose agentic-vbench if… - Requirements: Requires Docker; Install via scripts provided in the repository.; Python virtual environment setup for reproducibility.. - Tags unique to agentic-vbench: ai-agents, benchmark, harbor, video-editing. - When you need to benchmark the performance of AI agents in handling specialized tasks such as audio and video editing that require precise restorative actions. ### Choose ClawBench if… - 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 NOT to use agentic-vbench - When the focus is on generic performance evaluations rather than on real-world, task-specific benchmarks that assess handling complex post-production scenarios. - If your budget or timeline cannot accommodate a per-task wall clock time of ~10 minutes and cost ranging from $0.10 to $2 based on agent token usage. ## 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. ## Common questions ### What is the difference between agentic-vbench and ClawBench? agentic-vbench: A benchmark for evaluating AI agents in performing real-world post-production tasks like audio and video editing.. ClawBench: Open-source benchmark for browser AI agents on daily tasks. See the comparison table for live GitHub stats and shared categories. ### When should I choose agentic-vbench over ClawBench? Choose agentic-vbench over ClawBench when Requirements: Requires Docker; Install via scripts provided in the repository.; Python virtual environment setup for reproducibility.; Tags unique to agentic-vbench: ai-agents, benchmark, harbor, video-editing; When you need to benchmark the performance of AI agents in handling specialized tasks such as audio and video editing that require precise restorative actions. ### When should I choose ClawBench over agentic-vbench? Choose ClawBench over agentic-vbench when 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 avoid agentic-vbench? When the focus is on generic performance evaluations rather than on real-world, task-specific benchmarks that assess handling complex post-production scenarios. If your budget or timeline cannot accommodate a per-task wall clock time of ~10 minutes and cost ranging from $0.10 to $2 based on agent token usage. ### 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. ### Is agentic-vbench or ClawBench more popular on GitHub? ClawBench has more GitHub stars (796 vs 96). Stars measure visibility, not whether either tool fits your constraints. ### Are agentic-vbench and ClawBench open source? Yes - both are open-source projects on GitHub (agentic-vbench: Apache-2.0, ClawBench: Apache-2.0). ### Where can I find alternatives to agentic-vbench or ClawBench? GraphCanon lists graph-backed alternatives at [agentic-vbench alternatives](/tools/philolabs-agentic-vbench/alternatives) and [ClawBench alternatives](/tools/tiger-ai-lab-clawbench/alternatives) ([agentic-vbench markdown twin](/tools/philolabs-agentic-vbench/alternatives.md), [ClawBench markdown twin](/tools/tiger-ai-lab-clawbench/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/philolabs-agentic-vbench-vs-tiger-ai-lab-clawbench.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agentic-vbench or ClawBench? agentic-vbench: Very active. ClawBench: 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 agentic-vbench and ClawBench? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentic-vbench trust report](/tools/philolabs-agentic-vbench/trust); [ClawBench trust report](/tools/tiger-ai-lab-clawbench/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=philolabs-agentic-vbench`](/api/graphcanon/graph?tool=philolabs-agentic-vbench) - 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/_