Comparison
SuperPrompt vs AutoGPT
Verdict
Pick SuperPrompt when tags unique to SuperPrompt: ml, prompt-engineering, prompts, prompts-template; pick AutoGPT when tags unique to AutoGPT: agentic-ai, agents, artificial-intelligence, autonomous-agents.
Markdown twin · SuperPrompt alternatives · AutoGPT alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | SuperPrompt | AutoGPT |
|---|---|---|
| Maintenance | Steady (75d since push) As of today · github_public_v1 | Very active (0d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Organization account As of 1d · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No lockfile As of 1d · none |
Tagline
- SuperPrompt
- SuperPrompt is an attempt to engineer prompts that might help us understand AI agents.
- AutoGPT
- AutoGPT is the vision of accessible AI for everyone, to use and to build on.
Stars
- SuperPrompt
- 6.4k
- AutoGPT
- 185k
Forks
- SuperPrompt
- 574
- AutoGPT
- 46k
Open issues
- SuperPrompt
- 12
- AutoGPT
- 494
Language
- SuperPrompt
- -
- AutoGPT
- Python
Adopt for
- SuperPrompt
- -
- 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
- SuperPrompt
- -
- AutoGPT
- -
Runtime
- SuperPrompt
- -
- AutoGPT
- -
License
- SuperPrompt
- -
- AutoGPT
- Other
Last pushed
- SuperPrompt
- Apr 26, 2026
- AutoGPT
- Jul 11, 2026
Categories
- SuperPrompt
- AI Agents, LLM Frameworks
- AutoGPT
- AI Agents, LLM Frameworks
Trust and health
Maintenance
- SuperPrompt
- Steady (60%)
- AutoGPT
- Very active (96%)
Days since push
- SuperPrompt
- 75d
- AutoGPT
- 0d
Open issues (now)
- SuperPrompt
- 12
- AutoGPT
- 494
Owner type
- SuperPrompt
- User
- AutoGPT
- Organization
Full report
- SuperPrompt
- Trust report
- AutoGPT
- Trust report
Choose SuperPrompt if…
- Tags unique to SuperPrompt: ml, prompt-engineering, prompts, prompts-template.
- Leaner open-issue backlog (12).
When NOT to use SuperPrompt
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- 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: agentic-ai, agents, artificial-intelligence, autonomous-agents.
- When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise.
- More GitHub stars (185k vs 6.4k) - visibility, not fit.
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 (NeoVertex1/SuperPrompt) · observed Jul 11, 2026
- GitHub forks (NeoVertex1/SuperPrompt) · observed Jul 11, 2026
- Last push (NeoVertex1/SuperPrompt) · observed Apr 26, 2026
- License file (unknown) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Significant-Gravitas/AutoGPT) · observed Jul 11, 2026
- GitHub forks (Significant-Gravitas/AutoGPT) · observed Jul 11, 2026
- Last push (Significant-Gravitas/AutoGPT) · observed Jul 11, 2026
- License file (Other) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: SuperPrompt 6.4k · AutoGPT 185k (synced Jul 11, 2026).
Common questions
- What is the difference between SuperPrompt and AutoGPT?
- SuperPrompt: SuperPrompt is an attempt to engineer prompts that might help us understand AI agents.. 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 SuperPrompt over AutoGPT?
- Choose SuperPrompt over AutoGPT when Tags unique to SuperPrompt: ml, prompt-engineering, prompts, prompts-template; Leaner open-issue backlog (12).
- When should I choose AutoGPT over SuperPrompt?
- Choose AutoGPT over SuperPrompt when Tags unique to AutoGPT: agentic-ai, agents, artificial-intelligence, autonomous-agents; When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise; More GitHub stars (185k vs 6.4k) - visibility, not fit.
- When should I avoid SuperPrompt?
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. 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 SuperPrompt or AutoGPT more popular on GitHub?
- AutoGPT has more GitHub stars (185,464 vs 6,419). Stars measure visibility, not whether either tool fits your constraints.
- Are SuperPrompt and AutoGPT open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to SuperPrompt or AutoGPT?
- GraphCanon lists graph-backed alternatives at SuperPrompt alternatives and AutoGPT alternatives (SuperPrompt 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, SuperPrompt or AutoGPT?
- SuperPrompt: Steady. 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 SuperPrompt and AutoGPT?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: SuperPrompt trust report; AutoGPT trust report.