Home/Compare/PromptAttack vs AutoGPT

Comparison

PromptAttack vs AutoGPT

Verdict

Pick PromptAttack when tags unique to PromptAttack: python; pick AutoGPT when tags unique to AutoGPT: agents, llm, ai, artificial-intelligence.

Markdown twin · PromptAttack alternatives · AutoGPT alternatives

GraphCanon updated today

PromptAttack logo

PromptAttack

GodXuxilie/PromptAttack

116pushed Jan 21, 2025
vs
AutoGPT logo

AutoGPT

Significant-Gravitas/AutoGPT

185kpushed Jul 11, 2026

Trust & integrity

SignalPromptAttackAutoGPT
Maintenance
Dormant (536d since push)
As of today · github_public_v1
Very active (0d since push)
As of today · github_public_v1
Provenance
Not a fork · Personal account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
241 low (241 low)
As of today · osv@v1
No lockfile
As of today · none

Tagline

PromptAttack
An LLM can Fool Itself: A Prompt-Based Adversarial Attack (ICLR 2024)
AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on.

Stars

PromptAttack
116
AutoGPT
185k

Forks

PromptAttack
17
AutoGPT
46k

Open issues

PromptAttack
0
AutoGPT
494

Language

PromptAttack
Python
AutoGPT
Python

Adopt for

PromptAttack
-
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.

Persona

PromptAttack
-
AutoGPT
-

Runtime

PromptAttack
-
AutoGPT
-

License

PromptAttack
-
AutoGPT
Other

Last pushed

PromptAttack
Jan 21, 2025
AutoGPT
Jul 11, 2026

Categories

PromptAttack
LLM Frameworks
AutoGPT
AI Agents, LLM Frameworks

Trust and health

Maintenance

PromptAttack
Dormant (18%)
AutoGPT
Very active (96%)

Days since push

PromptAttack
536d
AutoGPT
0d

Open issues (now)

PromptAttack
0
AutoGPT
494

Owner type

PromptAttack
User
AutoGPT
Organization

Security scan

PromptAttack
241 low (241 low)
AutoGPT
No lockfile

Full report

PromptAttack
Trust report

Choose PromptAttack if…

  • Tags unique to PromptAttack: python.
  • Leaner open-issue backlog (0).

When NOT to use PromptAttack

  • Last GitHub push was 537 days ago (dormant maintenance, Jan 21, 2025). Validate activity before betting a new project on PromptAttack.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

Choose AutoGPT if…

  • Tags unique to AutoGPT: agents, llm, ai, artificial-intelligence.
  • Also covers AI Agents.
  • 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.

Explore

Sources

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

GitHub stars on cards: PromptAttack 116 · AutoGPT 185k (synced Jul 11, 2026).

Common questions

What is the difference between PromptAttack and AutoGPT?
PromptAttack: An LLM can Fool Itself: A Prompt-Based Adversarial Attack (ICLR 2024). AutoGPT: AutoGPT is the vision of accessible AI for everyone, to use and to build on.. See the comparison table for live GitHub stats and shared categories.
When should I choose PromptAttack over AutoGPT?
Choose PromptAttack over AutoGPT when Tags unique to PromptAttack: python; Leaner open-issue backlog (0).
When should I choose AutoGPT over PromptAttack?
Choose AutoGPT over PromptAttack when Tags unique to AutoGPT: agents, llm, ai, artificial-intelligence; Also covers AI Agents; When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise.
When should I avoid PromptAttack?
Last GitHub push was 537 days ago (dormant maintenance, Jan 21, 2025). Validate activity before betting a new project on PromptAttack. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
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.
Is PromptAttack or AutoGPT more popular on GitHub?
AutoGPT has more GitHub stars (185,464 vs 116). Stars measure visibility, not whether either tool fits your constraints.
Are PromptAttack and AutoGPT open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to PromptAttack or AutoGPT?
GraphCanon lists graph-backed alternatives at PromptAttack alternatives and AutoGPT alternatives (PromptAttack markdown twin, AutoGPT 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, PromptAttack or AutoGPT?
PromptAttack: Dormant. AutoGPT: 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 PromptAttack and AutoGPT?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: PromptAttack trust report; AutoGPT trust report.