Home/Compare/skyagi vs AutoGPT

Comparison

skyagi vs AutoGPT

Verdict

Pick skyagi when skyagi is primarily TypeScript; AutoGPT is Python; pick AutoGPT when autoGPT is primarily Python; skyagi is TypeScript.

Markdown twin · skyagi alternatives · AutoGPT alternatives

GraphCanon updated today

skyagi logo

skyagi

litanlitudan/skyagi

777pushed Sep 21, 2023
vs
AutoGPT logo

AutoGPT

Significant-Gravitas/AutoGPT

185kpushed Jul 11, 2026

Trust & integrity

SignalskyagiAutoGPT
Maintenance
Dormant (1023d 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 criticals
As of today · osv@v1
No lockfile
As of today · none

Tagline

skyagi
SkyAGI: Emerging human-behavior simulation capability in LLM
AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on.

Stars

skyagi
777
AutoGPT
185k

Forks

skyagi
56
AutoGPT
46k

Open issues

skyagi
41
AutoGPT
494

Language

skyagi
TypeScript
AutoGPT
Python

Adopt for

skyagi
-
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

skyagi
-
AutoGPT
-

Runtime

skyagi
-
AutoGPT
-

License

skyagi
Apache-2.0
AutoGPT
Other

Last pushed

skyagi
Sep 21, 2023
AutoGPT
Jul 11, 2026

Categories

skyagi
LLM Frameworks, AI Agents
AutoGPT
AI Agents, LLM Frameworks

Trust and health

Maintenance

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

Days since push

skyagi
1023d
AutoGPT
0d

Open issues (now)

skyagi
41
AutoGPT
494

Owner type

skyagi
User
AutoGPT
Organization

Security scan

skyagi
No criticals
AutoGPT
No lockfile

Full report

Choose skyagi if…

  • skyagi is primarily TypeScript; AutoGPT is Python.
  • License: skyagi is Apache-2.0, AutoGPT is Other.
  • Tags unique to skyagi: aigc, langchain, typescript, language-model.

When NOT to use skyagi

  • Last GitHub push was 1024 days ago (dormant maintenance, Sep 21, 2023). Validate activity before betting a new project on skyagi.
  • 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…

  • AutoGPT is primarily Python; skyagi is TypeScript.
  • License: AutoGPT is Other, skyagi is Apache-2.0.
  • 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.

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: skyagi 777 · AutoGPT 185k (synced Jul 11, 2026).

Common questions

What is the difference between skyagi and AutoGPT?
skyagi: SkyAGI: Emerging human-behavior simulation capability in LLM. 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 skyagi over AutoGPT?
Choose skyagi over AutoGPT when skyagi is primarily TypeScript; AutoGPT is Python; License: skyagi is Apache-2.0, AutoGPT is Other; Tags unique to skyagi: aigc, langchain, typescript, language-model.
When should I choose AutoGPT over skyagi?
Choose AutoGPT over skyagi when AutoGPT is primarily Python; skyagi is TypeScript; License: AutoGPT is Other, skyagi is Apache-2.0; 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.
When should I avoid skyagi?
Last GitHub push was 1024 days ago (dormant maintenance, Sep 21, 2023). Validate activity before betting a new project on skyagi. 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 skyagi or AutoGPT more popular on GitHub?
AutoGPT has more GitHub stars (185,464 vs 777). Stars measure visibility, not whether either tool fits your constraints.
Are skyagi and AutoGPT open source?
Yes - both are open-source projects on GitHub (skyagi: Apache-2.0, AutoGPT: Other).
Where can I find alternatives to skyagi or AutoGPT?
GraphCanon lists graph-backed alternatives at skyagi alternatives and AutoGPT alternatives (skyagi 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, skyagi or AutoGPT?
skyagi: 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 skyagi and AutoGPT?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: skyagi trust report; AutoGPT trust report.