Home/Compare/hello-agents vs mobilegym

Comparison

hello-agents vs mobilegym

Verdict

Pick hello-agents if hello-Agents is a systematic learning tutorial for building AI-native intelligent agents, offering hands-on experience with core principles and practical implementation in Python; 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.

Markdown twin · hello-agents alternatives · mobilegym alternatives

GraphCanon updated Sep 20, 2026

hello-agents logo

hello-agents

datawhalechina/hello-agents

80kpushed Sep 17, 2026
vs
mobilegym logo

mobilegym

Purewhiter/mobilegym

795pushed Aug 28, 2026

Trust & integrity

Signalhello-agentsmobilegym
Maintenance
Very active (0d since push)
As of Sep 18, 2026 · github_public_v1
Active (22d since push)
As of Sep 20, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
Not a fork · Personal account
As of Sep 20, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Sep 18, 2026 · osv@v1
No lockfile (source not queried)
As of Jul 15, 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

hello-agents
A comprehensive guide to building intelligent agents from scratch
mobilegym
Browser-hosted Android Simulator for Mobile GUI Agent Research

Stars

hello-agents
80k
mobilegym
795

Forks

hello-agents
9.9k
mobilegym
136

Open issues

hello-agents
82
mobilegym
9

Language

hello-agents
Python
mobilegym
Python

Adopt for

hello-agents
Hello-Agents is a systematic learning tutorial for building AI-native intelligent agents, offering hands-on experience with core principles and practical implementation in Python.
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.

Persona

hello-agents
-
mobilegym
-

Runtime

hello-agents
-
mobilegym
-

License

hello-agents
The license is not specified as open source, but the content is free to read and learn from.
mobilegym
Apache-2.0

Last pushed

hello-agents
Sep 17, 2026
mobilegym
Aug 28, 2026

Categories

hello-agents
AI Agents, Model Training
mobilegym
AI Agents, Model Training

Trust and health

Maintenance

hello-agents
Very active (96%)
mobilegym
Active (82%)

Days since push

hello-agents
0d
mobilegym
22d

Open issues (now)

hello-agents
82
mobilegym
9

Stars delta

hello-agents
+6.6k (30d)
mobilegym
+40 (30d)

Open issues delta

hello-agents
-73 (30d)
mobilegym
+2 (30d)

Owner type

hello-agents
Organization
mobilegym
User

Full report

hello-agents
Trust report
mobilegym
Trust report

Choose hello-agents if…

  • License: hello-agents is Other, mobilegym is Apache-2.0.
  • Pricing: The content is free to access and learn from, but there may be additional paid services or support options not detailed in the repository..
  • Requirements: Min 4 GB RAM; Python is required for practical implementation and hands-on experience with the HelloAgents framework..
  • Tags unique to hello-agents: llm, rag, tutorial.
  • When you want to focus on building AI-native agents and understand their core principles and practical implementation.

When NOT to use hello-agents

  • If you are looking for a tutorial that focuses on software engineering-based agents like Dify or Coze, which are more about process-driven software development.
  • If you prefer a tool that does not emphasize the hands-on construction of an agent framework from the ground up using OpenAI's native API.

Choose mobilegym if…

  • License: mobilegym is Apache-2.0, hello-agents is Other.
  • Tags unique to mobilegym: ai, android, automation, benchmark.
  • 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.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: hello-agents 80k · mobilegym 795 (synced Sep 20, 2026).

Common questions

What is the difference between hello-agents and mobilegym?
hello-agents: A comprehensive guide to building intelligent agents from scratch. mobilegym: Browser-hosted Android Simulator for Mobile GUI Agent Research. See the comparison table for live GitHub stats and shared categories.
When should I choose hello-agents over mobilegym?
Choose hello-agents over mobilegym when License: hello-agents is Other, mobilegym is Apache-2.0; Pricing: The content is free to access and learn from, but there may be additional paid services or support options not detailed in the repository.; Requirements: Min 4 GB RAM; Python is required for practical implementation and hands-on experience with the HelloAgents framework.; Tags unique to hello-agents: llm, rag, tutorial; When you want to focus on building AI-native agents and understand their core principles and practical implementation.
When should I choose mobilegym over hello-agents?
Choose mobilegym over hello-agents when License: mobilegym is Apache-2.0, hello-agents is Other; Tags unique to mobilegym: ai, android, automation, benchmark; You require a browser-based solution to simulate Android environments for testing and training mobile graphical user interface (GUI) agents.
When should I avoid hello-agents?
If you are looking for a tutorial that focuses on software engineering-based agents like Dify or Coze, which are more about process-driven software development. If you prefer a tool that does not emphasize the hands-on construction of an agent framework from the ground up using OpenAI's native API.
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.
Is hello-agents or mobilegym more popular on GitHub?
hello-agents has more GitHub stars (79,727 vs 795). Stars measure visibility, not whether either tool fits your constraints.
Are hello-agents and mobilegym open source?
Yes - both are open-source projects on GitHub (hello-agents: Other, mobilegym: Apache-2.0).
Where can I find alternatives to hello-agents or mobilegym?
GraphCanon lists graph-backed alternatives at hello-agents alternatives and mobilegym alternatives (hello-agents markdown twin, mobilegym 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, hello-agents or mobilegym?
hello-agents: Very active. mobilegym: 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 hello-agents and mobilegym?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: hello-agents trust report; mobilegym trust report.

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