Comparison
DecryptPrompt vs AutoGPT
Verdict
Pick DecryptPrompt when tags unique to DecryptPrompt: chain-of-thought, few-shot-learning, instruction-tuning, demonstration; pick AutoGPT when tags unique to AutoGPT: agents, ai, artificial-intelligence, agentic-ai.
Markdown twin · DecryptPrompt alternatives · AutoGPT alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | DecryptPrompt | AutoGPT |
|---|---|---|
| Maintenance | Steady (66d 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
- DecryptPrompt
- 总结Prompt&LLM论文，开源数据&模型，AIGC应用
- AutoGPT
- AutoGPT is the vision of accessible AI for everyone, to use and to build on.
Stars
- DecryptPrompt
- 3.4k
- AutoGPT
- 185k
Forks
- DecryptPrompt
- 322
- AutoGPT
- 46k
Open issues
- DecryptPrompt
- 1
- AutoGPT
- 494
Language
- DecryptPrompt
- -
- AutoGPT
- Python
Adopt for
- DecryptPrompt
- -
- 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
- DecryptPrompt
- -
- AutoGPT
- -
Runtime
- DecryptPrompt
- -
- AutoGPT
- -
License
- DecryptPrompt
- -
- AutoGPT
- Other
Last pushed
- DecryptPrompt
- May 6, 2026
- AutoGPT
- Jul 11, 2026
Categories
- DecryptPrompt
- LLM Frameworks, AI Agents
- AutoGPT
- AI Agents, LLM Frameworks
Trust and health
Maintenance
- DecryptPrompt
- Steady (60%)
- AutoGPT
- Very active (96%)
Days since push
- DecryptPrompt
- 66d
- AutoGPT
- 0d
Open issues (now)
- DecryptPrompt
- 1
- AutoGPT
- 494
Owner type
- DecryptPrompt
- User
- AutoGPT
- Organization
Full report
- DecryptPrompt
- Trust report
- AutoGPT
- Trust report
Choose DecryptPrompt if…
- Tags unique to DecryptPrompt: chain-of-thought, few-shot-learning, instruction-tuning, demonstration.
- Leaner open-issue backlog (1).
When NOT to use DecryptPrompt
- 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.
Choose AutoGPT if…
- Tags unique to AutoGPT: agents, ai, artificial-intelligence, agentic-ai.
- When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise.
- More GitHub stars (185k vs 3.4k) - 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 (DSXiangLi/DecryptPrompt) · observed Jul 11, 2026
- GitHub forks (DSXiangLi/DecryptPrompt) · observed Jul 11, 2026
- Last push (DSXiangLi/DecryptPrompt) · observed May 6, 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: DecryptPrompt 3.4k · AutoGPT 185k (synced Jul 11, 2026).
Common questions
- What is the difference between DecryptPrompt and AutoGPT?
- DecryptPrompt: 总结Prompt&LLM论文，开源数据&模型，AIGC应用. 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 DecryptPrompt over AutoGPT?
- Choose DecryptPrompt over AutoGPT when Tags unique to DecryptPrompt: chain-of-thought, few-shot-learning, instruction-tuning, demonstration; Leaner open-issue backlog (1).
- When should I choose AutoGPT over DecryptPrompt?
- Choose AutoGPT over DecryptPrompt when Tags unique to AutoGPT: agents, ai, artificial-intelligence, agentic-ai; When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise; More GitHub stars (185k vs 3.4k) - visibility, not fit.
- When should I avoid DecryptPrompt?
- 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.
- 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 DecryptPrompt or AutoGPT more popular on GitHub?
- AutoGPT has more GitHub stars (185,464 vs 3,422). Stars measure visibility, not whether either tool fits your constraints.
- Are DecryptPrompt and AutoGPT open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to DecryptPrompt or AutoGPT?
- GraphCanon lists graph-backed alternatives at DecryptPrompt alternatives and AutoGPT alternatives (DecryptPrompt 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, DecryptPrompt or AutoGPT?
- DecryptPrompt: 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 DecryptPrompt and AutoGPT?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: DecryptPrompt trust report; AutoGPT trust report.