AI Doomsday Toolbox v0.932 adds benchmarking, dataset creation, and agent workspace for Android local AI
What's new in AI Doomsday Toolbox v0.932
AI Doomsday Toolbox v0.932 is a significant update to the Android application for running local AI models, adding several practical features for developers working with on-device AI.
Key features in this release
- Benchmarking for local LLMs: Users can benchmark their device and compare different thread counts to determine optimal model configurations instead of guessing.
- Dataset creator: Import TXT or PDF files, split them into chunks, clean them up, generate question/answer pairs, rate them, and export the final dataset in Alpaca JSON format. The prompts used in the pipeline can be customized.
- Termux/proot workflows: Better support for using a proot distro through Termux, including SSH setup help, install flows for predefined tools, in-app webview access for compatible tools, and file management from inside the app.
- AI agent workspace: An agent-oriented environment built around Termux and local backends, with support for custom tools, custom agents, and project-oriented workflows. This gives LLMs the ability to use tools and run commands.
- Subtitle burning: Generate subtitles with Whisper and burn them into video with font, color, and position controls.
- Summary workflow changes: Summaries now work better with Ollama and llama.cpp-compatible backends.
- Built-in Ollama and llama tools: Includes a built-in Ollama manager for models and Modelfiles, plus a native chat interface for llama-server style backends that allows running long calls without dropping connections (which happens with the web UI).
- Pet system: The Tama side of the app has gameplay around memory, adventures, farm management, and interaction.
Existing features maintained
The update retains previous functionality including distributed inference across Android devices, workflow-based processing for media and documents, offline knowledge tools, local image generation, and the concept of reusing old phones for local AI.
Installation options
A Google Play beta version is now available with App Bundle packaging for smaller install sizes. The beta helps with testing across different devices. The GitHub repository remains available for direct downloads.
📖 Read the full source: r/LocalLLaMA
👀 See Also
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Claude Code HUD: Terminal Dashboard for Monitoring AI Coding Sessions
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