---
title: "mobilegym vs AutoGPT"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/purewhiter-mobilegym-vs-significant-gravitas-autogpt"
tools: ["purewhiter-mobilegym", "significant-gravitas-autogpt"]
---

# mobilegym vs AutoGPT

*GraphCanon updated Jul 15, 2026*

## Verdict

Pick mobilegym when license: mobilegym is Apache-2.0, AutoGPT is Other; pick AutoGPT when license: AutoGPT is Other, mobilegym is Apache-2.0.

[mobilegym](https://mobilegym.dev) reports 721 GitHub stars, 116 forks, and 5 open issues, last pushed Jul 1, 2026. [AutoGPT](https://agpt.co) has 185k stars, 46k forks, and 494 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [mobilegym's repository](https://github.com/Purewhiter/mobilegym) and [AutoGPT's repository](https://github.com/Significant-Gravitas/AutoGPT).

| | [mobilegym](/tools/purewhiter-mobilegym.md) | [AutoGPT](/tools/significant-gravitas-autogpt.md) |
| --- | --- | --- |
| Tagline | MobileGym: A Verifiable and Highly Parallel Simulation Platform for Mobile GUI Agent Research · 浏览器里运行的安卓模拟器 · Browser-hosted Android Simulator · Verifiable Evaluation · Scalable Online RL Training | AutoGPT is the vision of accessible AI for everyone, to use and to build on. |
| Stars | 721 | 185,464 |
| Forks | 116 | 46,111 |
| Open issues | 5 | 494 |
| Language | Python | Python |
| Adopt for | - | 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 | - | - |
| Runtime | - | - |
| License | Apache-2.0 | Other |
| Categories | AI Agents, LLM Frameworks, Model Training | AI Agents, LLM Frameworks |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [mobilegym](/tools/purewhiter-mobilegym.md) | [AutoGPT](/tools/significant-gravitas-autogpt.md) |
| --- | --- | --- |
| Maintenance | Active (82%) | Very active (96%) |
| Days since push | 14d | 0d |
| Open issues (now) | 5 | 494 |
| Owner type | User | Organization |
| Full report | [trust report](/tools/purewhiter-mobilegym/trust.md) | [trust report](/tools/significant-gravitas-autogpt/trust.md) |

## Decision facts: AutoGPT

- **Adopt for:** 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.

## Choose when

### Choose mobilegym if…

- License: mobilegym is Apache-2.0, AutoGPT is Other.
- Tags unique to mobilegym: agent, android, automation, benchmark.
- Also covers Model Training.

### Choose AutoGPT if…

- License: AutoGPT is Other, mobilegym is Apache-2.0.
- Tags unique to AutoGPT: agentic-ai, artificial-intelligence, autonomous-agents, claude.
- When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise.

## When NOT to use mobilegym

- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.

## 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.

## Common questions

### What is the difference between mobilegym and AutoGPT?

mobilegym: MobileGym: A Verifiable and Highly Parallel Simulation Platform for Mobile GUI Agent Research · 浏览器里运行的安卓模拟器 · Browser-hosted Android Simulator · Verifiable Evaluation · Scalable Online RL Training. 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.

### 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, artificial-intelligence, autonomous-agents, claude; When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise.

### When should I avoid mobilegym?

AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.

### 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 (185,464 vs 721). 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](/tools/purewhiter-mobilegym/alternatives) and [AutoGPT alternatives](/tools/significant-gravitas-autogpt/alternatives) ([mobilegym markdown twin](/tools/purewhiter-mobilegym/alternatives.md), [AutoGPT markdown twin](/tools/significant-gravitas-autogpt/alternatives.md)), 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](/compare/purewhiter-mobilegym-vs-significant-gravitas-autogpt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, mobilegym or AutoGPT?

mobilegym: 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 mobilegym and AutoGPT?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [mobilegym trust report](/tools/purewhiter-mobilegym/trust); [AutoGPT trust report](/tools/significant-gravitas-autogpt/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=purewhiter-mobilegym`](/api/graphcanon/graph?tool=purewhiter-mobilegym)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_
