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ToolNeuron

by Siddhesh2377

Pending

Complete offline AI ecosystem for Android: Chat (GGUF/LLMs), Images (Stable Diffusion 1.5), Voice (TTS/STT), and Knowledge (RAG Data-Packs), zero subscriptions, no data harvesting. Open-source privacy-first AI on your terms.

258stars
20forks
Kotlin
Added 3/9/2026
View on GitHubDownload ZIP
AI Agentsai-assistantandroidgguf-modelsjetpack-composekotlinllama-cppllmlocal-aimobile-aioffline-ttsopen-sourceopenrouterprivacy-firstsherpa-onnx
Installation
# Add to your Claude Code skills
git clone https://github.com/Siddhesh2377/ToolNeuron
README.md

ToolNeuron

Offline AI assistant for Android. Run LLMs, generate images, search documents — all on-device. No cloud. No subscriptions. No data leaves your phone.

Platform License Discord

<p align="left"> <a href="https://play.google.com/store/apps/details?id=com.dark.tool_neuron"> <img src="https://play.google.com/intl/en_us/badges/static/images/badges/en_badge_web_generic.png" alt="Get it on Google Play" height="80"/> </a> </p>

Download APK · Discord · Report Issue


What It Does

  • Text generation — Load any GGUF model (Llama, Mistral, Gemma, Phi, Qwen, etc.) and chat with it locally
  • Image generation — Stable Diffusion 1.5 on-device, with inpainting support
  • Image tools — Upscale and segment images locally (depth, style transfer, inpainting coming soon)
  • RAG — Inject PDFs, Word docs, Excel, EPUB into conversations with semantic search
  • Plugins — Web search, file manager, calculator, notepad, date/time, system info, dev utils — all callable by the LLM
  • AI memory — The AI remembers facts about you across conversations, with deduplication and a forgetting curve
  • Text-to-speech — 10 voices, 5 languages, on-device synthesis
  • Encrypted storage — AES-256-GCM with hardware-backed keys for all chat data
  • System backup — Export everything as an encrypted .tnbackup file

Requirements

| | Minimum | Recommended | |---|---------|-------------| | Android | 10 (API 29) | 12+ | | RAM | 6 GB | 8–12 GB | | Storage | 4 GB free | 10 GB free | | CPU | ARM64 or x86_64 | Snapdragon 8 Gen 1+ |


Getting Started

1. Install

Google Play or GitHub Releases.

2. Get a model

From the in-app Model Store (recommended):

  1. Open the drawer menu → Model Store
  2. Add a HuggingFace repository (e.g. bartowski/Phi-3.5-mini-instruct-GGUF)
  3. Pick a quantization and download

Or manually:

  1. Download a .gguf file from HuggingFace
  2. Use the model picker in ToolNeuron to load it

3. Chat

Select your model, wait for it to load, start typing. Responses stream in real-time.

Recommended models for getting started

| Use case | Model | Size | |----------|-------|------| | Quick test | Qwen3.5 0.8B Q4_K_M | ~600 MB | | General use | Qwen3.5 4B Q4_K_M | ~2.8 GB | | Power users | Qwen3.5 9B Q4_K_M | ~5.5 GB |

Pick Q4...

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