Home/Compare/JARVIS vs AutoGPT

Comparison

JARVIS vs AutoGPT

Verdict

Pick JARVIS when license: JARVIS is MIT, AutoGPT is Other; pick AutoGPT when license: AutoGPT is Other, JARVIS is MIT.

Markdown twin · JARVIS alternatives · AutoGPT alternatives

GraphCanon updated today

JARVIS logo

JARVIS

Likhithsai2580/JARVIS

142pushed Jun 9, 2025
vs
AutoGPT logo

AutoGPT

Significant-Gravitas/AutoGPT

185kpushed Jul 11, 2026

Trust & integrity

SignalJARVISAutoGPT
Maintenance
Dormant (400d since push)
As of today · github_public_v1
Very active (0d since push)
As of 4d · github_public_v1
Provenance
Not a fork · Personal account
As of today · github_public_v1
Not a fork · Organization account
As of 4d · github_public_v1
OSV dependency advisories
No published findings from this source as of 2026-07-15
As of today · osv@v1
No lockfile (source not queried)
As of 4d · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

JARVIS
Project Jarvis is a versatile AI assistant that integrates various functionalities.
AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on.

Stars

JARVIS
142
AutoGPT
185k

Forks

JARVIS
60
AutoGPT
46k

Open issues

JARVIS
2
AutoGPT
494

Language

JARVIS
Python
AutoGPT
Python

Adopt for

JARVIS
-
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

JARVIS
-
AutoGPT
-

Runtime

JARVIS
-
AutoGPT
-

License

JARVIS
MIT
AutoGPT
Other

Last pushed

JARVIS
Jun 9, 2025
AutoGPT
Jul 11, 2026

Categories

JARVIS
AI Agents, LLM Frameworks, Speech & Audio
AutoGPT
AI Agents, LLM Frameworks

Trust and health

Maintenance

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

Days since push

JARVIS
400d
AutoGPT
0d

Open issues (now)

JARVIS
2
AutoGPT
494

Owner type

JARVIS
User
AutoGPT
Organization

OSV dependency advisories

JARVIS
No published findings from this source as of 2026-07-15
AutoGPT
No lockfile (source not queried)

Full report

Choose JARVIS if…

  • License: JARVIS is MIT, AutoGPT is Other.
  • Tags unique to JARVIS: agent, assistant, g4f, gui.
  • Also covers Speech & Audio.

When NOT to use JARVIS

  • Last GitHub push was 401 days ago (dormant maintenance, Jun 9, 2025). Validate activity before betting a new project on JARVIS.
  • 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…

  • License: AutoGPT is Other, JARVIS is MIT.
  • Tags unique to AutoGPT: agentic-ai, ai, artificial-intelligence, autonomous-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: JARVIS 142 · AutoGPT 185k (synced Jul 15, 2026).

Common questions

What is the difference between JARVIS and AutoGPT?
JARVIS: Project Jarvis is a versatile AI assistant that integrates various functionalities.. 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 JARVIS over AutoGPT?
Choose JARVIS over AutoGPT when License: JARVIS is MIT, AutoGPT is Other; Tags unique to JARVIS: agent, assistant, g4f, gui; Also covers Speech & Audio.
When should I choose AutoGPT over JARVIS?
Choose AutoGPT over JARVIS when License: AutoGPT is Other, JARVIS is MIT; Tags unique to AutoGPT: agentic-ai, ai, artificial-intelligence, autonomous-agents; When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise.
When should I avoid JARVIS?
Last GitHub push was 401 days ago (dormant maintenance, Jun 9, 2025). Validate activity before betting a new project on JARVIS. 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 JARVIS or AutoGPT more popular on GitHub?
AutoGPT has more GitHub stars (185,464 vs 142). Stars measure visibility, not whether either tool fits your constraints.
Are JARVIS and AutoGPT open source?
Yes - both are open-source projects on GitHub (JARVIS: MIT, AutoGPT: Other).
Where can I find alternatives to JARVIS or AutoGPT?
GraphCanon lists graph-backed alternatives at JARVIS alternatives and AutoGPT alternatives (JARVIS 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, JARVIS or AutoGPT?
JARVIS: 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 JARVIS and AutoGPT?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: JARVIS trust report; AutoGPT trust report.

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