Home/Compare/AutoAgent vs Open-AutoGLM

Comparison

AutoAgent vs Open-AutoGLM

Verdict

Pick AutoAgent if autoAgent is a framework designed for creating automated AI agents using large language models in a zero-code, fully-automated environment. It operates with Python and uses Docker to manage agent-interaction environments; 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.

Markdown twin · AutoAgent alternatives · Open-AutoGLM alternatives

GraphCanon updated 2d

AutoAgent logo

AutoAgent

HKUDS/AutoAgent

9.7kpushed Oct 16, 2025
vs
Open-AutoGLM logo

Open-AutoGLM

zai-org/Open-AutoGLM

26kpushed Mar 6, 2026

Trust & integrity

SignalAutoAgentOpen-AutoGLM
Maintenance
Slowing (307d since push)
As of 2d · github_public_v1
Slowing (165d since push)
As of 2d · github_public_v1
Provenance
Not a fork · Organization account
As of 2d · github_public_v1
Not a fork · Organization account
As of 2d · 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

AutoAgent
Fully-Automated and Zero-Code LLM Agent Framework
Open-AutoGLM
An Open Phone Agent Model & Framework. Unlocking the AI Phone for Everyone

Stars

AutoAgent
9.7k
Open-AutoGLM
26k

Forks

AutoAgent
1.4k
Open-AutoGLM
4.0k

Open issues

AutoAgent
68
Open-AutoGLM
262

Language

AutoAgent
Python
Open-AutoGLM
Python

Adopt for

AutoAgent
AutoAgent is a framework designed for creating automated AI agents using large language models in a zero-code, fully-automated environment. It operates with Python and uses Docker to manage agent-interaction environments
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

AutoAgent
-
Open-AutoGLM
-

Runtime

AutoAgent
-
Open-AutoGLM
-

License

AutoAgent
MIT
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

AutoAgent
Oct 16, 2025
Open-AutoGLM
Mar 6, 2026

Categories

AutoAgent
AI Agents
Open-AutoGLM
AI Agents

Trust and health

Days since push

AutoAgent
307d
Open-AutoGLM
165d

Open issues (now)

AutoAgent
68
Open-AutoGLM
262

Stars delta

AutoAgent
+242 (30d)
Open-AutoGLM
+220 (30d)

Open issues delta

AutoAgent
-1 (30d)
Open-AutoGLM
+1 (30d)

OSV dependency advisories

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

Full report

AutoAgent
Trust report
Open-AutoGLM
Trust report

Shared compatibility

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

Choose AutoAgent if…

  • License: AutoAgent is MIT, Open-AutoGLM is Apache-2.0.
  • Tags unique to AutoAgent: llms.
  • Use AutoAgent when you aim to leverage LLMs in an automation setting without needing any coding experience.

When NOT to use AutoAgent

  • Avoid AutoAgent if your project requires customization or modification of the underlying agent framework code directly.
  • Do not use AutoAgent when you require real-time performance and low latency operation since its automatic Docker image handling can cause delays in deployment.

Choose Open-AutoGLM if…

  • License: Open-AutoGLM is Apache-2.0, AutoAgent is MIT.
  • Requirements: Requires Python 3.10 or above, ADB for Android devices, and potentially HDC for HarmonyOS NEXT versions..
  • Tags unique to Open-AutoGLM: 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: AutoAgent 9.7k · Open-AutoGLM 26k (synced Aug 19, 2026).

Common questions

What is the difference between AutoAgent and Open-AutoGLM?
AutoAgent: Fully-Automated and Zero-Code LLM Agent Framework. 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 AutoAgent over Open-AutoGLM?
Choose AutoAgent over Open-AutoGLM when License: AutoAgent is MIT, Open-AutoGLM is Apache-2.0; Tags unique to AutoAgent: llms; Use AutoAgent when you aim to leverage LLMs in an automation setting without needing any coding experience.
When should I choose Open-AutoGLM over AutoAgent?
Choose Open-AutoGLM over AutoAgent when License: Open-AutoGLM is Apache-2.0, AutoAgent is MIT; Requirements: Requires Python 3.10 or above, ADB for Android devices, and potentially HDC for HarmonyOS NEXT versions.; Tags unique to Open-AutoGLM: 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 AutoAgent?
Avoid AutoAgent if your project requires customization or modification of the underlying agent framework code directly. Do not use AutoAgent when you require real-time performance and low latency operation since its automatic Docker image handling can cause delays in deployment.
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 AutoAgent or Open-AutoGLM more popular on GitHub?
Open-AutoGLM has more GitHub stars (26,040 vs 9,738). Stars measure visibility, not whether either tool fits your constraints.
Are AutoAgent and Open-AutoGLM open source?
Yes - both are open-source projects on GitHub (AutoAgent: MIT, Open-AutoGLM: Apache-2.0).
Where can I find alternatives to AutoAgent or Open-AutoGLM?
GraphCanon lists graph-backed alternatives at AutoAgent alternatives and Open-AutoGLM alternatives (AutoAgent 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, AutoAgent or Open-AutoGLM?
AutoAgent: 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 AutoAgent and Open-AutoGLM?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: AutoAgent trust report; Open-AutoGLM trust report.

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