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Comparison

parlor vs AutoGPT

Verdict

Pick parlor when parlor is primarily HTML; AutoGPT is Python; pick AutoGPT when autoGPT is primarily Python; parlor is HTML.

Markdown twin · parlor alternatives · AutoGPT alternatives

GraphCanon updated today

parlor logo

parlor

fikrikarim/parlor

★ 1.9kpushed Jul 11, 2026
vs
AutoGPT logo

AutoGPT

Significant-Gravitas/AutoGPT

★ 185kpushed Jul 11, 2026

Trust & integrity

SignalparlorAutoGPT
Maintenance
Very active (0d 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
parlor trust reportAutoGPT trust reportTrust methodology

Tagline

parlor
On-device, real-time multimodal AI. Have natural voice and vision conversations with an AI that runs entirely on your machine. Powered by Gemma 4 E2B and Kokoro.
AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on.

Stars

parlor
1.9k
AutoGPT
185k

Forks

parlor
240
AutoGPT
46k

Open issues

parlor
7
AutoGPT
494

Language

parlor
HTML
AutoGPT
Python

Adopt for

parlor
-
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

parlor
-
AutoGPT
-

Runtime

parlor
-
AutoGPT
-

License

parlor
Apache-2.0
AutoGPT
Other

Last pushed

parlor
Jul 11, 2026
AutoGPT
Jul 11, 2026

Categories

parlor
LLM Frameworks, Computer Vision, Speech & Audio
AutoGPT
AI Agents, LLM Frameworks

Trust and health

Open issues (now)

parlor
7
AutoGPT
494

Owner type

parlor
User
AutoGPT
Organization

Full report

parlor
Trust report
AutoGPT
Trust report

Choose parlor if…

  • parlor is primarily HTML; AutoGPT is Python.
  • License: parlor is Apache-2.0, AutoGPT is Other.
  • Tags unique to parlor: gemma, litert-lm, kokoro, on-device-ai.
  • Also covers Computer Vision, Speech & Audio.

When NOT to use parlor

  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
GitHubDetails

Choose AutoGPT if…

  • AutoGPT is primarily Python; parlor is HTML.
  • License: AutoGPT is Other, parlor 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.
GitHubDetails

Explore

parlor trust report →AutoGPT trust report →LLM Frameworks category →Computer Vision category →Speech & Audio category →AI Agents category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: parlor 1.9k · AutoGPT 185k (synced Jul 11, 2026).

Common questions

What is the difference between parlor and AutoGPT?
parlor: On-device, real-time multimodal AI. Have natural voice and vision conversations with an AI that runs entirely on your machine. Powered by Gemma 4 E2B and Kokoro.. 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 parlor over AutoGPT?
Choose parlor over AutoGPT when parlor is primarily HTML; AutoGPT is Python; License: parlor is Apache-2.0, AutoGPT is Other; Tags unique to parlor: gemma, litert-lm, kokoro, on-device-ai; Also covers Computer Vision, Speech & Audio.
When should I choose AutoGPT over parlor?
Choose AutoGPT over parlor when AutoGPT is primarily Python; parlor is HTML; License: AutoGPT is Other, parlor 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 parlor?
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 parlor or AutoGPT more popular on GitHub?
AutoGPT has more GitHub stars (185,464 vs 1,894). Stars measure visibility, not whether either tool fits your constraints.
Are parlor and AutoGPT open source?
Yes - both are open-source projects on GitHub (parlor: Apache-2.0, AutoGPT: Other).
Where can I find alternatives to parlor or AutoGPT?
GraphCanon lists graph-backed alternatives at parlor alternatives and AutoGPT alternatives (parlor 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, parlor or AutoGPT?
parlor: Very active. 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 parlor and AutoGPT?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: parlor trust report; AutoGPT trust report.