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MobileWorld
A benchmark for evaluating autonomous mobile agents in agent-user interactive and MCP-augmented environments, aimed at GUI agent and LLM research.
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18.9% fork ratio
License: Apache-2.0
Selection & positioning guide
Structured overview of delivery form, target scenarios, and licensing boundaries
Positioning & delivery
Categorized under Artificial Intelligence and delivered as MCP servers / Desktop apps, covering AI agents workflows.
Stack & community signals
Built primarily with Python. Community scale is summarized in the metrics above; use the star history and commit activity below to judge the quality and durability of its growth.
License & maintenance check
Licensed under Apache-2.0 with status "Recently maintained". Verify dependency requirements and the upstream LICENSE before production adoption.
Star history & growth
Based on collected snapshots
No trend in this date range
Inspect recent observations
| Date | Stars |
|---|---|
| 2026-11-14 | 301 |
| 2026-11-15 | 301 |
Project profile
Repository metadata & lifecycle signals
- License
- Apache-2.0
- Delivery form
- MCP servers · Desktop apps
- Latest release
- No tagged release
- Last push
- 2026-11-03
- Created
- 2025-12-02 (11 mos)
- Fork / Star ratio
- 18.9%
Get the source & start here
Cloning downloads source; follow official setup and dependency instructions.
git clone https://github.com/Tongyi-MAI/MobileWorld.gitAfter cloning, enter the project directory · cd MobileWorld
GitRank Project Score
5-dimension model · 60% input coverage
Good
- MaintenanceRecent push & release cadence
- 27 / 30
- Delivery informationSetup docs, examples & prerequisites
- 13 / 25
- Community signalsStar scale & fork participation
- 14 / 20
- Recent growth7-day net gain & momentum
- 7 / 15
- Usage informationDescription, license & homepage
- 10 / 10
Computed automatically from repository activity, documentation structure, community signals, and recent growth.
Frequently Asked Questions about MobileWorld
Is Tongyi-MAI/MobileWorld still actively maintained in 2026?+
Tongyi-MAI/MobileWorld is currently rated "Recently maintained" with a GitRank engineering score of 71/100. Its latest recorded code push was on 2026-11-03.
Can I use Tongyi-MAI/MobileWorld for commercial projects?+
Yes. Tongyi-MAI/MobileWorld uses the permissive Apache-2.0 open-source license, which generally permits commercial use, modification, private deployment, and distribution provided copyright notices are retained.
What are the best open-source alternatives to Tongyi-MAI/MobileWorld?+
Top actively maintained open-source alternatives and comparable projects to Tongyi-MAI/MobileWorld in Artificial Intelligence include NousResearch/hermes-agent (263,448 stars), langgenius/dify (161,177 stars), langchain-ai/langchain (149,526 stars). Follow the internal links below to compare their architecture and licensing.
How fast is Tongyi-MAI/MobileWorld growing on GitHub?+
Net Star change over the past 7 days: 0 Stars.