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Comparison

parlor vs autogen

Verdict

Pick parlor when parlor is primarily HTML; autogen is Python; pick autogen when autogen is primarily Python; parlor is HTML.

Markdown twin · parlor alternatives · autogen alternatives

GraphCanon updated today

parlor logo

parlor

fikrikarim/parlor

★ 1.9kpushed Jul 11, 2026
vs
autogen logo

autogen

microsoft/autogen

★ 60kpushed Apr 15, 2026

Trust & integrity

Signalparlorautogen
Maintenance
Very active (0d since push)
As of today · github_public_v1
Steady (87d 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 1d · none
parlor trust reportautogen 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.
autogen
A programming framework for agentic AI

Stars

parlor
1.9k
autogen
60k

Forks

parlor
240
autogen
9.0k

Open issues

parlor
7
autogen
945

Language

parlor
HTML
autogen
Python

Adopt for

parlor
-
autogen
AutoGen is a Python-based framework for developing and managing agentic AI systems. It includes the AutoGen Studio for no-code GUI setup, integrating with various models.

Persona

parlor
-
autogen
-

Runtime

parlor
-
autogen
-

License

parlor
Apache-2.0
autogen
CC-BY-4.0

Last pushed

parlor
Jul 11, 2026
autogen
Apr 15, 2026

Categories

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

Trust and health

Maintenance

parlor
Very active (96%)
autogen
Steady (60%)

Days since push

parlor
0d
autogen
87d

Open issues (now)

parlor
7
autogen
945

Owner type

parlor
User
autogen
Organization

Full report

parlor
Trust report
autogen
Trust report

Shared compatibility

  • Python · parlor: Python runtime · autogen: Python runtime

Choose parlor if…

  • parlor is primarily HTML; autogen is Python.
  • License: parlor is Apache-2.0, autogen is CC-BY-4.0.
  • Tags unique to parlor: apple-silicon, gemma, kokoro, litert-lm.
  • 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 autogen if…

  • autogen is primarily Python; parlor is HTML.
  • License: autogen is CC-BY-4.0, parlor is Apache-2.0.
  • Requirements: Min 4 GB RAM; AutoGen requires Python 3.10 or later.; Ensure security when connecting to MCP servers due to the potential for local command execution and sensitive information exposure..
  • Tags unique to autogen: agentic-agi, agents, ai, autogen.
  • Also covers AI Agents.
  • You need a framework that supports integration with multiple AI models via OpenAI's chat completion client.

When NOT to use autogen

  • If you require tools supporting multiple programming languages beyond Python, as AutoGen is strictly a Python-based framework.
  • When deploying in environments where connecting to external servers (like those used by MCP) could pose security risks or is prohibited.
  • You need solutions which do not involve additional installations for server components such as `playwright/mcp`, as AutoGen requires this setup for certain functionalities.
GitHubDetails

Explore

parlor trust report →autogen trust report →Computer Vision category →LLM Frameworks 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 · autogen 60k (synced Jul 11, 2026).

Common questions

What is the difference between parlor and autogen?
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.. autogen: A programming framework for agentic AI. See the comparison table for live GitHub stats and shared categories.
When should I choose parlor over autogen?
Choose parlor over autogen when parlor is primarily HTML; autogen is Python; License: parlor is Apache-2.0, autogen is CC-BY-4.0; Tags unique to parlor: apple-silicon, gemma, kokoro, litert-lm; Also covers Computer Vision, Speech & Audio.
When should I choose autogen over parlor?
Choose autogen over parlor when autogen is primarily Python; parlor is HTML; License: autogen is CC-BY-4.0, parlor is Apache-2.0; Requirements: Min 4 GB RAM; AutoGen requires Python 3.10 or later.; Ensure security when connecting to MCP servers due to the potential for local command execution and sensitive information exposure.; Tags unique to autogen: agentic-agi, agents, ai, autogen; Also covers AI Agents; You need a framework that supports integration with multiple AI models via OpenAI's chat completion client.
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 autogen?
If you require tools supporting multiple programming languages beyond Python, as AutoGen is strictly a Python-based framework. When deploying in environments where connecting to external servers (like those used by MCP) could pose security risks or is prohibited. You need solutions which do not involve additional installations for server components such as playwright/mcp, as AutoGen requires this setup for certain functionalities.
Is parlor or autogen more popular on GitHub?
autogen has more GitHub stars (59,658 vs 1,894). Stars measure visibility, not whether either tool fits your constraints.
Are parlor and autogen open source?
Yes - both are open-source projects on GitHub (parlor: Apache-2.0, autogen: CC-BY-4.0).
Where can I find alternatives to parlor or autogen?
GraphCanon lists graph-backed alternatives at parlor alternatives and autogen alternatives (parlor markdown twin, autogen 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 autogen?
parlor: Very active. autogen: Steady. 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 autogen?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: parlor trust report; autogen trust report.