Home/Compare/autogen vs Open-AutoGLM

Comparison

autogen vs Open-AutoGLM

Verdict

Pick autogen if 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; pick Open-AutoGLM if open-AutoGLM is a framework and model for creating intelligent assistants capable of automating tasks on mobile phones via natural language interaction, using ADB to control the device and visual.

Markdown twin · autogen alternatives · Open-AutoGLM alternatives

GraphCanon updated 2w

autogen logo

autogen

microsoft/autogen

60kpushed Apr 15, 2026
vs
Open-AutoGLM logo

Open-AutoGLM

zai-org/Open-AutoGLM

26kpushed Mar 6, 2026

Trust & integrity

SignalautogenOpen-AutoGLM
Maintenance
Slowing (107d since push)
As of 2w · github_public_v1
Slowing (135d since push)
As of 1mo · github_public_v1
Provenance
Not a fork · Organization account
As of 2w · github_public_v1
Not a fork · Organization account
As of 1mo · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
Published findings
As of 1mo · 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

autogen
A programming framework for agentic AI
Open-AutoGLM
An Open Phone Agent Model & Framework. Unlocking the AI Phone for Everyone

Stars

autogen
60k
Open-AutoGLM
26k

Forks

autogen
9.1k
Open-AutoGLM
4.0k

Open issues

autogen
970
Open-AutoGLM
261

Language

autogen
Python
Open-AutoGLM
Python

Adopt for

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.
Open-AutoGLM
Open-AutoGLM is a framework and model for creating intelligent assistants capable of automating tasks on mobile phones via natural language interaction, using ADB to control the device and visual models for screen感知与操作.

Persona

autogen
-
Open-AutoGLM
-

Runtime

autogen
-
Open-AutoGLM
-

License

autogen
CC-BY-4.0
Open-AutoGLM
The Apache-2.0 license allows for free use, distribution, and modification of the software provided that these actions maintain attribution to the original authors.

Last pushed

autogen
Apr 15, 2026
Open-AutoGLM
Mar 6, 2026

Categories

autogen
AI Agents, LLM Frameworks
Open-AutoGLM
AI Agents

Trust and health

Days since push

autogen
107d
Open-AutoGLM
135d

Open issues (now)

autogen
970
Open-AutoGLM
261

OSV dependency advisories

autogen
No lockfile (source not queried)
Open-AutoGLM
Published findings

Full report

Open-AutoGLM
Trust report

Shared compatibility

  • Python · autogen: Python runtime · Open-AutoGLM: Python runtime

Choose autogen if…

  • License: autogen is CC-BY-4.0, Open-AutoGLM 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 LLM Frameworks.
  • 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.

Choose Open-AutoGLM if…

  • License: Open-AutoGLM is Apache-2.0, autogen is CC-BY-4.0.
  • Requirements: Requires Python 3.10 or above, ADB for Android devices, and potentially HDC for HarmonyOS NEXT versions..
  • Tags unique to Open-AutoGLM: agent, phone-use-agent.
  • When you need an open-source solution for developing multi-modal AI phone agents that can be controlled through natural language.

When NOT to use Open-AutoGLM

  • If your project requires support for more sophisticated user interface interactions beyond the basic automation capabilities provided by Open-AutoGLM.
  • When developing for non-Android or non-HarmonyOS devices, as Open-AutoGLM specifically leverages ADB and HDC tools which are primarily designed for these platforms.

Explore

Sources

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

GitHub stars on cards: autogen 60k · Open-AutoGLM 26k (synced Aug 1, 2026).

Common questions

What is the difference between autogen and Open-AutoGLM?
autogen: A programming framework for agentic AI. Open-AutoGLM: An Open Phone Agent Model & Framework. Unlocking the AI Phone for Everyone. See the comparison table for live GitHub stats and shared categories.
When should I choose autogen over Open-AutoGLM?
Choose autogen over Open-AutoGLM when License: autogen is CC-BY-4.0, Open-AutoGLM 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 LLM Frameworks; You need a framework that supports integration with multiple AI models via OpenAI's chat completion client.
When should I choose Open-AutoGLM over autogen?
Choose Open-AutoGLM over autogen when License: Open-AutoGLM is Apache-2.0, autogen is CC-BY-4.0; Requirements: Requires Python 3.10 or above, ADB for Android devices, and potentially HDC for HarmonyOS NEXT versions.; Tags unique to Open-AutoGLM: agent, phone-use-agent; When you need an open-source solution for developing multi-modal AI phone agents that can be controlled through natural language.
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.
When should I avoid Open-AutoGLM?
If your project requires support for more sophisticated user interface interactions beyond the basic automation capabilities provided by Open-AutoGLM. When developing for non-Android or non-HarmonyOS devices, as Open-AutoGLM specifically leverages ADB and HDC tools which are primarily designed for these platforms.
Is autogen or Open-AutoGLM more popular on GitHub?
autogen has more GitHub stars (60,139 vs 25,820). Stars measure visibility, not whether either tool fits your constraints.
Are autogen and Open-AutoGLM open source?
Yes - both are open-source projects on GitHub (autogen: CC-BY-4.0, Open-AutoGLM: Apache-2.0).
Where can I find alternatives to autogen or Open-AutoGLM?
GraphCanon lists graph-backed alternatives at autogen alternatives and Open-AutoGLM alternatives (autogen markdown twin, Open-AutoGLM 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, autogen or Open-AutoGLM?
autogen: Slowing. Open-AutoGLM: Slowing. 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 autogen and Open-AutoGLM?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: autogen trust report; Open-AutoGLM trust report.

Was this helpful?

Anonymous feedback helps us improve pages and translations.