Home/Compare/AutoPrompt vs AutoGPT

Comparison

AutoPrompt vs AutoGPT

Verdict

Pick AutoPrompt when license: AutoPrompt is Apache-2.0, AutoGPT is Other; pick AutoGPT when license: AutoGPT is Other, AutoPrompt is Apache-2.0.

Markdown twin · AutoPrompt alternatives · AutoGPT alternatives

GraphCanon updated today

AutoPrompt logo

AutoPrompt

Eladlev/AutoPrompt

3.0kpushed Dec 2, 2025
vs
AutoGPT logo

AutoGPT

Significant-Gravitas/AutoGPT

185kpushed Jul 11, 2026

Trust & integrity

SignalAutoPromptAutoGPT
Maintenance
Slowing (220d 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)
No lockfile
As of today · none
No lockfile
As of today · none

Tagline

AutoPrompt
A framework for prompt tuning using Intent-based Prompt Calibration
AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on.

Stars

AutoPrompt
3.0k
AutoGPT
185k

Forks

AutoPrompt
263
AutoGPT
46k

Open issues

AutoPrompt
23
AutoGPT
494

Language

AutoPrompt
Python
AutoGPT
Python

Adopt for

AutoPrompt
-
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

AutoPrompt
-
AutoGPT
-

Runtime

AutoPrompt
-
AutoGPT
-

License

AutoPrompt
Apache-2.0
AutoGPT
Other

Last pushed

AutoPrompt
Dec 2, 2025
AutoGPT
Jul 11, 2026

Categories

AutoPrompt
LLM Frameworks
AutoGPT
AI Agents, LLM Frameworks

Trust and health

Maintenance

AutoPrompt
Slowing (36%)
AutoGPT
Very active (96%)

Days since push

AutoPrompt
220d
AutoGPT
0d

Open issues (now)

AutoPrompt
23
AutoGPT
494

Owner type

AutoPrompt
User
AutoGPT
Organization

Full report

AutoPrompt
Trust report

Choose AutoPrompt if…

  • License: AutoPrompt is Apache-2.0, AutoGPT is Other.
  • Tags unique to AutoPrompt: synthetic-dataset-generation, python, prompt-tuning, prompt-engineering.
  • Leaner open-issue backlog (23).

When NOT to use AutoPrompt

  • Last GitHub push was 221 days ago (slowing maintenance, Dec 2, 2025). Validate activity before betting a new project on AutoPrompt.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

Choose AutoGPT if…

  • License: AutoGPT is Other, AutoPrompt is Apache-2.0.
  • 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: AutoPrompt 3.0k · AutoGPT 185k (synced Jul 11, 2026).

Common questions

What is the difference between AutoPrompt and AutoGPT?
AutoPrompt: A framework for prompt tuning using Intent-based Prompt Calibration. 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 AutoPrompt over AutoGPT?
Choose AutoPrompt over AutoGPT when License: AutoPrompt is Apache-2.0, AutoGPT is Other; Tags unique to AutoPrompt: synthetic-dataset-generation, python, prompt-tuning, prompt-engineering; Leaner open-issue backlog (23).
When should I choose AutoGPT over AutoPrompt?
Choose AutoGPT over AutoPrompt when License: AutoGPT is Other, AutoPrompt is Apache-2.0; 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 AutoPrompt?
Last GitHub push was 221 days ago (slowing maintenance, Dec 2, 2025). Validate activity before betting a new project on AutoPrompt. 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 AutoPrompt or AutoGPT more popular on GitHub?
AutoGPT has more GitHub stars (185,464 vs 2,988). Stars measure visibility, not whether either tool fits your constraints.
Are AutoPrompt and AutoGPT open source?
Yes - both are open-source projects on GitHub (AutoPrompt: Apache-2.0, AutoGPT: Other).
Where can I find alternatives to AutoPrompt or AutoGPT?
GraphCanon lists graph-backed alternatives at AutoPrompt alternatives and AutoGPT alternatives (AutoPrompt 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, AutoPrompt or AutoGPT?
AutoPrompt: Slowing. 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 AutoPrompt and AutoGPT?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: AutoPrompt trust report; AutoGPT trust report.