Home/Compare/BrowserAI vs LLM-Hub

Comparison

BrowserAI vs LLM-Hub

Verdict

Pick BrowserAI if browserAI runs various local LLMs directly in your browser using TypeScript; pick LLM-Hub if local AI assistant for mobile phones via C++, supports multiple models.

Markdown twin · BrowserAI alternatives · LLM-Hub alternatives

GraphCanon updated Sep 20, 2026

9views this month

BrowserAI logo

BrowserAI

sauravpanda/BrowserAI

★ 1.5kpushed Jul 21, 2026
vs
LLM-Hub logo

LLM-Hub

timmyy123/LLM-Hub

★ 588pushed Sep 19, 2026

Trust & integrity

SignalBrowserAILLM-Hub
Maintenance
Steady (60d since push)
As of Sep 19, 2026 · github_public_v1
Very active (0d since push)
As of Sep 20, 2026 · github_public_v1
Provenance
Not a fork · Personal account
As of Sep 19, 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 Jul 11, 2026 · osv@v1
No lockfile (source not queried)
As of Jul 11, 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

BrowserAI
Run local LLMs like llama, deepseek-distill, kokoro and more inside your browser
LLM-Hub
Local AI Assistant on your phone

Stars

BrowserAI
1.5k
LLM-Hub
588

Forks

BrowserAI
136
LLM-Hub
124

Open issues

BrowserAI
24
LLM-Hub
38

Language

BrowserAI
TypeScript
LLM-Hub
C++

Adopt for

BrowserAI
BrowserAI runs various local LLMs directly in your browser using TypeScript.
LLM-Hub
Local AI assistant for mobile phones via C++, supports multiple models.

Persona

BrowserAI
-
LLM-Hub
-

Runtime

BrowserAI
-
LLM-Hub
-

License

BrowserAI
MIT
LLM-Hub
Other

Last pushed

BrowserAI
Jul 21, 2026
LLM-Hub
Sep 19, 2026

Categories

BrowserAI
Inference & Serving, LLM Frameworks
LLM-Hub
Developer Tools, Inference & Serving

Trust and health

Maintenance

BrowserAI
Steady (60%)
LLM-Hub
Very active (96%)

Days since push

BrowserAI
60d
LLM-Hub
0d

Open issues (now)

BrowserAI
24
LLM-Hub
38

Stars delta

BrowserAI
+5 (30d)
LLM-Hub
+74 (30d)

Open issues delta

BrowserAI
0 (30d)
LLM-Hub
+7 (30d)

Full report

BrowserAI
Trust report

Choose BrowserAI if…

  • BrowserAI is primarily TypeScript; LLM-Hub is C++.
  • License: BrowserAI is MIT, LLM-Hub is Other.
  • Tags unique to BrowserAI: agents, llm-inference, local, typescript.
  • Also covers LLM Frameworks.
  • You need to run local models like llama, deepseek-distill, kokoro inside the browser environment.

When NOT to use BrowserAI

  • You require a server-based solution instead of in-browser execution for LLMs.
  • The project involves extensive training tasks that are unsuitable for browser environments.

Choose LLM-Hub if…

  • LLM-Hub is primarily C++; BrowserAI is TypeScript.
  • License: LLM-Hub is Other, BrowserAI is MIT.
  • Tags unique to LLM-Hub: gemma3, gemma3n, gemma4, gemma4-agent-skills.
  • Also covers Developer Tools.
  • You need local deployment of LLMs on mobile devices without relying on cloud services.

When NOT to use LLM-Hub

  • Your project requires real-time heavy-load AI operations beyond what mobile resources can handle locally.
  • If your application is not compatible with or cannot be adapted to a C++ environment.

Explore

Sources

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

GitHub stars on cards: BrowserAI 1.5k · LLM-Hub 588 (synced Sep 20, 2026).

Common questions

What is the difference between BrowserAI and LLM-Hub?
BrowserAI: Run local LLMs like llama, deepseek-distill, kokoro and more inside your browser. LLM-Hub: Local AI Assistant on your phone. See the comparison table for live GitHub stats and shared categories.
When should I choose BrowserAI over LLM-Hub?
Choose BrowserAI over LLM-Hub when BrowserAI is primarily TypeScript; LLM-Hub is C++; License: BrowserAI is MIT, LLM-Hub is Other; Tags unique to BrowserAI: agents, llm-inference, local, typescript; Also covers LLM Frameworks; You need to run local models like llama, deepseek-distill, kokoro inside the browser environment.
When should I choose LLM-Hub over BrowserAI?
Choose LLM-Hub over BrowserAI when LLM-Hub is primarily C++; BrowserAI is TypeScript; License: LLM-Hub is Other, BrowserAI is MIT; Tags unique to LLM-Hub: gemma3, gemma3n, gemma4, gemma4-agent-skills; Also covers Developer Tools; You need local deployment of LLMs on mobile devices without relying on cloud services.
When should I avoid BrowserAI?
You require a server-based solution instead of in-browser execution for LLMs. The project involves extensive training tasks that are unsuitable for browser environments.
When should I avoid LLM-Hub?
Your project requires real-time heavy-load AI operations beyond what mobile resources can handle locally. If your application is not compatible with or cannot be adapted to a C++ environment.
Is BrowserAI or LLM-Hub more popular on GitHub?
BrowserAI has more GitHub stars (1,451 vs 588). Stars measure visibility, not whether either tool fits your constraints.
Are BrowserAI and LLM-Hub open source?
Yes - both are open-source projects on GitHub (BrowserAI: MIT, LLM-Hub: Other).
Where can I find alternatives to BrowserAI or LLM-Hub?
GraphCanon lists graph-backed alternatives at BrowserAI alternatives and LLM-Hub alternatives (BrowserAI markdown twin, LLM-Hub 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, BrowserAI or LLM-Hub?
BrowserAI: Steady. LLM-Hub: 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 BrowserAI and LLM-Hub?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: BrowserAI trust report; LLM-Hub trust report.

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