--- title: "AutoGPT vs ClawBench" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/significant-gravitas-autogpt-vs-tiger-ai-lab-clawbench" tools: ["significant-gravitas-autogpt", "tiger-ai-lab-clawbench"] --- # AutoGPT vs ClawBench *GraphCanon updated Jul 11, 2026* ## Verdict Pick AutoGPT when license: AutoGPT is Other, ClawBench is Apache-2.0; pick ClawBench when license: ClawBench is Apache-2.0, AutoGPT is Other. [AutoGPT](https://agpt.co) reports 185k GitHub stars, 46k forks, and 494 open issues, last pushed Jul 11, 2026. [ClawBench](https://claw-bench.com) has 469 stars, 27 forks, and 41 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [AutoGPT's repository](https://github.com/Significant-Gravitas/AutoGPT) and [ClawBench's repository](https://github.com/TIGER-AI-Lab/ClawBench). | | [AutoGPT](/tools/significant-gravitas-autogpt.md) | [ClawBench](/tools/tiger-ai-lab-clawbench.md) | | --- | --- | --- | | Tagline | AutoGPT is the vision of accessible AI for everyone, to use and to build on. | Open-source benchmark for browser AI agents on daily tasks. | | Stars | 185,464 | 469 | | Forks | 46,111 | 27 | | Open issues | 494 | 41 | | Language | Python | Python | | Adopt for | AutoGPT is a Python-based tool for creating accessible autonomous AI agents that can leverage various LLM APIs including OpenAI's GPT and Anthropic's Claude. | - | | Persona | - | - | | Runtime | - | - | | License | Other | Apache-2.0 | | Categories | LLM Frameworks, AI Agents | LLM Frameworks, AI Agents, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [AutoGPT](/tools/significant-gravitas-autogpt.md) | [ClawBench](/tools/tiger-ai-lab-clawbench.md) | | --- | --- | --- | | Open issues (now) | 494 | 41 | | Full report | [trust report](/tools/significant-gravitas-autogpt/trust.md) | [trust report](/tools/tiger-ai-lab-clawbench/trust.md) | ## Decision facts: AutoGPT - **Adopt for:** AutoGPT is a Python-based tool for creating accessible autonomous AI agents that can leverage various LLM APIs including OpenAI's GPT and Anthropic's Claude. ## Choose when ### Choose AutoGPT if… - License: AutoGPT is Other, ClawBench is Apache-2.0. - Tags unique to AutoGPT: agents, llm, ai, artificial-intelligence. - When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise. ### Choose ClawBench if… - License: ClawBench is Apache-2.0, AutoGPT is Other. - Tags unique to ClawBench: agent-evaluation, ai-agent-benchmark, benchmark, browser-automation. - Also covers Evaluation & Observability. ## When NOT to use AutoGPT - Avoid if you require absolute control over the underlying AI infrastructure and APIs used by your autonomous agents, as AutoGPT imposes its own framework. - If your project demands proprietary or specialized models that aren't supported by AutoGPT's API ecosystem (e.g., custom TensorFlow or PyTorch models), consider other tools. ## When NOT to use ClawBench - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ## Common questions ### What is the difference between AutoGPT and ClawBench? AutoGPT: AutoGPT is the vision of accessible AI for everyone, to use and to build on.. 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 AutoGPT over ClawBench? Choose AutoGPT over ClawBench when License: AutoGPT is Other, ClawBench is Apache-2.0; Tags unique to AutoGPT: agents, llm, ai, artificial-intelligence; When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise. ### When should I choose ClawBench over AutoGPT? Choose ClawBench over AutoGPT when License: ClawBench is Apache-2.0, AutoGPT is Other; Tags unique to ClawBench: agent-evaluation, ai-agent-benchmark, benchmark, browser-automation; Also covers Evaluation & Observability. ### When should I avoid AutoGPT? Avoid if you require absolute control over the underlying AI infrastructure and APIs used by your autonomous agents, as AutoGPT imposes its own framework. If your project demands proprietary or specialized models that aren't supported by AutoGPT's API ecosystem (e.g., custom TensorFlow or PyTorch models), consider other tools. ### When should I avoid ClawBench? LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ### Is AutoGPT or ClawBench more popular on GitHub? AutoGPT has more GitHub stars (185,464 vs 469). Stars measure visibility, not whether either tool fits your constraints. ### Are AutoGPT and ClawBench open source? Yes - both are open-source projects on GitHub (AutoGPT: Other, ClawBench: Apache-2.0). ### Where can I find alternatives to AutoGPT or ClawBench? GraphCanon lists graph-backed alternatives at [AutoGPT alternatives](/tools/significant-gravitas-autogpt/alternatives) and [ClawBench alternatives](/tools/tiger-ai-lab-clawbench/alternatives) ([AutoGPT markdown twin](/tools/significant-gravitas-autogpt/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/significant-gravitas-autogpt-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, AutoGPT or ClawBench? AutoGPT: 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 AutoGPT and ClawBench? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [AutoGPT trust report](/tools/significant-gravitas-autogpt/trust); [ClawBench trust report](/tools/tiger-ai-lab-clawbench/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=significant-gravitas-autogpt`](/api/graphcanon/graph?tool=significant-gravitas-autogpt) - 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/_