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Box

Skill Development Usable
Works inClaude Code
Usable Scanned — metadata only

Enables teams to run inference workloads locally on Android devices without cloud dependency, reducing latency, data exposure, and operational costs while ma…

Private on-device AI suite for Android. Fork of Google AI Edge Gallery with llama.cpp, whisper.cpp, stable-diffusion.cpp, GGUF import, voice chat, vision AI, on-device image generation, biometric lock, encrypted history, and CPU/NPU/GPU acceleration.

752 starsFreeQuick setup
Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Enables teams to run inference workloads locally on Android devices without cloud dependency, reducing latency, data exposure, and operational costs while maintaining full model control.

Mobile development teams and enterprises requiring on-device AI with strict privacy or offline-first requirements.

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https://github.com/jegly/Box

By jegly

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
See repository README

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

First thing to try

After installing, paste this into Claude:

Help me run large language models directly on Android devices without cloud connectivity or data exposure
CostFree

Trust Signals Auto-scanned

Stars752Contributors1Last updated2026-08-10Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-08-14 · scanner v1

Community Pulse Growing

Discussed on Hacker News

1 mentions across 1 sources

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 531 GitHub stars; contributors unknown; last commit 2d ago; license no license.

Things to check

  • Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
  • Single maintainer. Consider the risk if this person stops maintaining the project.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
2/5
Versatility
4/5
Reliability
3/5
Security
3/5
Overall score2.90 / 5.00 UsableEvaluatedJun 2026
Scored from trust signals (evidence-eval-v1): 531 GitHub stars; contributors unknown; last commit 2d ago; license no license.

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