Tongyi-MAI / MobileWorld
Benchmarking Autonomous Mobile Agents in Agent-User Interactive and MCP-Augmented Environments (ACL 2026)
Why this job: matched by what the repo talks about: benchmark, agent, acl, environment
What it does
While maintaining the same level of rigorous, reproducible evaluation as AndroidWorld, MobileWorld offers a more challenging online mobile-use benchmark by introducing four additional features that better capture real-world agent behavior.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 9 days ago
- Stars
- 301
- +1 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 89% of the code
Is it looked after?
- Contributors
- 4
- Last 90 days
- Issues
- 69% closed
- 15 still open
- Pull requests
- 20 merged
- 7 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 89%
- HTML 7%
- CSS 2%
- Shell 1%
Topics
- benchmark
- guiagent
- llm
Project record
- JobEvals and observability
- StatusListed
- Commits199
- Forks57
- Watching2
- Stars in 28 days+10
- CreatedDec 2, 2025
- First seen by usNov 7, 2026
- CheckedNov 7, 2026