GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
Local AI assistant for mobile phones via C++, supports multiple models.
Good fit when
- You need local deployment of LLMs on mobile devices without relying on cloud services.
- Developing applications in C++ that require AI inference and training functionalities.
Avoid when
- 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.
Observed Jul 16, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
- As of Sep 20, 2026
- Provenance
- Not a fork · Personal account
- As of Sep 20, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
git clone https://github.com/timmyy123/LLM-HubHow it fits your stack(1)
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
timmyy123/LLM-Hub offers a local deployment of an AI assistant for mobile devices using C++. It supports various models and frameworks, including LLM inference and model training.
Capability facts
- Languages
- c++
Source: github.language · Sep 20, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 20, 2026)
macOS native apps are planned, bringing desktop-class experiences with advanced cursor integration and Claude Code–like capabilities.Source link
Tags
README
LLM Hub 🤖 LLM Hub is an open source mobile app for on device LLM chat, image generation, video generation, and music generation, available for both Android and iOS . It's optimized for mobile usage (CPU/GPU/NPU acceleration) and supports multiple model formats so you can run pow...
For agents
This page has a .md twin and JSON over the API.