Home/Compare/AutoGPT vs ClawBench

Comparison

AutoGPT vs ClawBench

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.

Markdown twin · AutoGPT alternatives · ClawBench alternatives

GraphCanon updated today

AutoGPT logo

AutoGPT

Significant-Gravitas/AutoGPT

185kpushed Jul 11, 2026
vs
ClawBench logo

ClawBench

TIGER-AI-Lab/ClawBench

469pushed Jul 11, 2026

Trust & integrity

SignalAutoGPTClawBench
Maintenance
Very active (0d since push)
As of today · github_public_v1
Very active (0d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
No lockfile
As of today · none

Tagline

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.

Stars

AutoGPT
185k
ClawBench
469

Forks

AutoGPT
46k
ClawBench
27

Open issues

AutoGPT
494
ClawBench
41

Language

AutoGPT
Python
ClawBench
Python

Adopt for

AutoGPT
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.
ClawBench
-

Persona

AutoGPT
-
ClawBench
-

Runtime

AutoGPT
-
ClawBench
-

License

AutoGPT
Other
ClawBench
Apache-2.0

Last pushed

AutoGPT
Jul 11, 2026
ClawBench
Jul 11, 2026

Categories

AutoGPT
LLM Frameworks, AI Agents
ClawBench
LLM Frameworks, AI Agents, Evaluation & Observability

Trust and health

Open issues (now)

AutoGPT
494
ClawBench
41

Full report

ClawBench
Trust report

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.

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.

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 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.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: AutoGPT 185k · ClawBench 469 (synced Jul 11, 2026).

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 and ClawBench alternatives (AutoGPT markdown twin, ClawBench markdown twin), 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 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; ClawBench trust report.