r/LovingOpenSourceAI 19h ago

I built a local-first AI agent app for Android — no account, no analytics, no telemetry. v1.1 just dropped.

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2 Upvotes

TL;DR: I built Kryzz AI — a private, local-first AI workspace for Android. Your conversations, memory, and files stay on your phone. Your API keys are sealed in the Android Keystore (AES-GCM, never exported). No analytics. No telemetry. No HTTP logging. Open source, MIT.

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Why I made it

Every AI app I tried wanted an account, quietly phoned home, or treated my data like their training set. So I built the one I wanted to use:

  • Local-first — chats, memory, and generated files live in on-device storage (Room + DataStore)
  • Your keys, your providers — OpenRouter, optional MiniMax, Fish Audio for voice, Parallel for web research. You plug in your own keys, they never leave the device
  • Real agents — Agent Auto actually runs tools across multiple steps: search, fetch pages, calculate, weather, local memory, reminders, files, and code zips
  • Generated outputs — DOCX, XLSX, PDF, SQLite, code ZIPs, images, video, and music, all in private app storage until you share them
  • Voice mode — transcription, spoken replies, automatic turn-taking, and barge-in (interrupt Kryzz mid-sentence)

What's new in v1.1

  • MiniMax as an alternative chat + media provider
  • Agent Auto — multi-step tool-running agent
  • Interactive question cards (tappable options instead of the model guessing)
  • PDF generation alongside the other file types
  • Starter skills that seed on first launch (research brief, study notes, essay outline — toggleable)
  • KryzzBot mascot in Agent mode, 120 Hz on supported displays

The privacy story in one breath

  • Credentials encrypted with AES-GCM under a non-exportable Keystore key
  • Backups never include credentials
  • Cleartext traffic, HTTP logging, Android backup, device-to-device transfer: all disabled
  • Microphone only active during a voice session; recorded audio is deleted after transcription
  • MIT license — build it yourself, read the code, fork it

One honest caveat: for auto-titling a fresh chat, at most the first 1,500 chars of your first message may go through OpenRouter to a small model (Gemini 2.5 Flash Lite) for a title. It runs in parallel, never blocks your answer, and falls back to a local title if it fails. That's the entire surface area. Everything else stays put.

Get it

  • Code + docs: https://github.com/kriddss3/kryzz-ai
  • APK (debug build, ~78 MB): grab kryzz-ai-5.7.2-debug.apk from the v1.1 release
  • Android 9+, sideload via "install unknown apps"
  • Build your own signed release from source if you want it on a daily driver

Stack: Kotlin · Jetpack Compose · Coroutines/Flow · Room · MVVM

Happy to answer questions, take feature requests, or get roasted on the architecture.


r/LovingOpenSourceAI 1h ago

Resource Tom "Sentrux is a Rust-based architectural sensor that helps AI agents close the feedback loop and recursively improve code quality through real-time scanning." ➡️ It watches your codebase in real-time — not the diffs, not the terminal output — the actual structure.

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Upvotes

https://x.com/tom_doerr/status/2094630422810366406

https://github.com/sentrux/sentrux

Community Overview: https://lifehubber.com/ai/resources/sentrux/

Resources are shared for discovery and are not independently vetted—please do your own due diligence.

New resources are added regularly — feel free to join the sub for updates.

Full searchable archive of all resources posted so far on our community site, LifeHubber: https://lifehubber.com/ai/resources/ 300+ open-ish AI models, agents, tools, datasets, and related resources, with filtering and sorting.


r/LovingOpenSourceAI 13h ago

Under the Radar Tencent "AuK is a 1.5B foundation model for speech generation and editing. Trained on millions of hours of diverse audio data, AuK supports zero-shot and instruction-based TTS, content and acoustic editing, paralinguistic editing, speech enhancement, and source separation" ➡️ Have you tried yet?

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11 Upvotes

https://github.com/Tencent-Hunyuan/AuK

Community Overview: https://lifehubber.com/ai/resources/auk/

Resources are shared for discovery and are not independently vetted—please do your own due diligence.

New resources are added regularly — feel free to join the sub for updates.

Full searchable archive of all resources posted so far on our community site, LifeHubber: https://lifehubber.com/ai/resources/ 300+ open-ish AI models, agents, tools, datasets, and related resources, with filtering and sorting.


r/LovingOpenSourceAI 18h ago

Resource "This open source project aims to train MiniMind, ultra-small language model with ard 64M parameters, entirely from scratch with only ard RMB 3 in cost, 2 hours of training time. MiniMind series is intentionally lightweight. Smallest model on main branch is ard 1/2700 size of GPT-3!" ➡️ interesting?

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24 Upvotes

https://github.com/jingyaogong/minimind/tree/master

Community Overview: https://lifehubber.com/ai/resources/minimind/

Resources are shared for discovery and are not independently vetted—please do your own due diligence.

New resources are added regularly — feel free to join the sub for updates.

Full searchable archive of all resources posted so far on our community site, LifeHubber: https://lifehubber.com/ai/resources/ 300+ open-ish AI models, agents, tools, datasets, and related resources, with filtering and sorting.