Comparison
mobilegym vs AutoGPT
Verdict
Pick mobilegym if mobileGym specializes in browser-hosted Android simulation for reinforcing learning training of mobile GUI agents. It is licensed under Apache-2.0 and written in Python; pick AutoGPT if 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.
Markdown twin · mobilegym alternatives · AutoGPT alternatives
GraphCanon updated Aug 16, 2026
15views this month
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Trust & integrity
| Signal | mobilegym | AutoGPT |
|---|---|---|
| Maintenance | Steady (41d since push) As of Aug 12, 2026 · github_public_v1 | Very active (0d since push) As of Aug 16, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Aug 12, 2026 · github_public_v1 | Not a fork · Organization account As of Aug 16, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 | No lockfile (source not queried) As of Sep 18, 2026 · 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
- mobilegym
- Browser-hosted Android Simulator for Mobile GUI Agent Research
- AutoGPT
- AutoGPT is the vision of accessible AI for everyone, to use and to build on.
Stars
- mobilegym
- 755
- AutoGPT
- 187k
Forks
- mobilegym
- 125
- AutoGPT
- 46k
Open issues
- mobilegym
- 7
- AutoGPT
- 517
Language
- mobilegym
- Python
- AutoGPT
- Python
Adopt for
- mobilegym
- MobileGym specializes in browser-hosted Android simulation for reinforcing learning training of mobile GUI agents. It is licensed under Apache-2.0 and written in Python.
- 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
- mobilegym
- -
- AutoGPT
- -
Runtime
- mobilegym
- -
- AutoGPT
- -
License
- mobilegym
- Apache-2.0
- AutoGPT
- Other
Last pushed
- mobilegym
- Jul 1, 2026
- AutoGPT
- Aug 15, 2026
Categories
- mobilegym
- AI Agents, Model Training
- AutoGPT
- AI Agents, LLM Frameworks
Trust and health
Maintenance
- mobilegym
- Steady (60%)
- AutoGPT
- Very active (96%)
Days since push
- mobilegym
- 41d
- AutoGPT
- 0d
Open issues (now)
- mobilegym
- 7
- AutoGPT
- 517
Stars delta
- mobilegym
- Unknown
- AutoGPT
- +1.0k (30d)
Open issues delta
- mobilegym
- Unknown
- AutoGPT
- +19 (30d)
Owner type
- mobilegym
- User
- AutoGPT
- Organization
Full report
- mobilegym
- Trust report
- AutoGPT
- Trust report
Choose mobilegym if…
- License: mobilegym is Apache-2.0, AutoGPT is Other.
- Tags unique to mobilegym: agent, android, automation, benchmark.
- Also covers Model Training.
- You require a browser-based solution to simulate Android environments for testing and training mobile graphical user interface (GUI) agents.
When NOT to use mobilegym
- Your project does not involve mobile GUI agent research or development; MobileGym's specialty is in this specific application and may not be useful for general-purpose simulation。
- You are looking for a solution that runs exclusively on local servers rather than browser-hosted environments.
Choose AutoGPT if…
- License: AutoGPT is Other, mobilegym is Apache-2.0.
- Tags unique to AutoGPT: agentic-ai, agents, artificial-intelligence, autonomous-agents.
- Also covers LLM Frameworks.
- 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 (Purewhiter/mobilegym) · observed Aug 12, 2026
- GitHub forks (Purewhiter/mobilegym) · observed Aug 12, 2026
- Last push (Purewhiter/mobilegym) · observed Jul 1, 2026
- License file (Apache-2.0) · observed Aug 12, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (Significant-Gravitas/AutoGPT) · observed Aug 16, 2026
- GitHub forks (Significant-Gravitas/AutoGPT) · observed Aug 16, 2026
- Last push (Significant-Gravitas/AutoGPT) · observed Aug 15, 2026
- License file (Other) · observed Aug 16, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: mobilegym 755 · AutoGPT 187k (synced Aug 12, 2026).
Common questions
- What is the difference between mobilegym and AutoGPT?
- mobilegym: Browser-hosted Android Simulator for Mobile GUI Agent Research. 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 mobilegym over AutoGPT?
- Choose mobilegym over AutoGPT when License: mobilegym is Apache-2.0, AutoGPT is Other; Tags unique to mobilegym: agent, android, automation, benchmark; Also covers Model Training; You require a browser-based solution to simulate Android environments for testing and training mobile graphical user interface (GUI) agents.
- When should I choose AutoGPT over mobilegym?
- Choose AutoGPT over mobilegym when License: AutoGPT is Other, mobilegym is Apache-2.0; Tags unique to AutoGPT: agentic-ai, agents, artificial-intelligence, autonomous-agents; Also covers LLM Frameworks; When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise.
- When should I avoid mobilegym?
- Your project does not involve mobile GUI agent research or development; MobileGym's specialty is in this specific application and may not be useful for general-purpose simulation。 You are looking for a solution that runs exclusively on local servers rather than browser-hosted environments.
- 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 mobilegym or AutoGPT more popular on GitHub?
- AutoGPT has more GitHub stars (186,623 vs 755). Stars measure visibility, not whether either tool fits your constraints.
- Are mobilegym and AutoGPT open source?
- Yes - both are open-source projects on GitHub (mobilegym: Apache-2.0, AutoGPT: Other).
- Where can I find alternatives to mobilegym or AutoGPT?
- GraphCanon lists graph-backed alternatives at mobilegym alternatives and AutoGPT alternatives (mobilegym 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, mobilegym or AutoGPT?
- mobilegym: Steady. 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 mobilegym and AutoGPT?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: mobilegym trust report; AutoGPT trust report.