Libreware

whoBIRD - Identify bird sounds in real time whoBIRD, the ultimate birding companion that can recognize birds by their sounds, anywhere in the world! Powered by the cutting-edge BirdNET project, whoBIRD boasts an extensive database of over 6,000 bird species worldwide. Using advanced machine learning algorithms, this Android app can accurately identify birds based on their unique vocalizations. What's more, whoBIRD performs its magic in real time entirely on your device, without requiring an internet connection. This means you can use it anytime, anywhere – whether you're deep in the forest or at the edge of a remote lake. https://github.com/woheller69/whoBIRD https://f-droid.org/packages/org.woheller69.whobird/ Google has announced that, starting in 2026/2027, all apps on certified Android devices will require the developer to submit personal identity details directly to Google. Since the developers of this app do not agree to this requirement, this app will no longer work on certified Android devices after that time.

Tor Project Releases Experimental #Tor#VPN Beta for #Android with Per-App Routing and Privacy Tools https://ift.tt/boRFLGe @reclaimthenet The Tor Project has launched its own VPN – but it's not the finished product yet https://www.tomsguide.com/computing/vpns/the-tor-project-has-launched-its-own-vpn-but-its-not-the-finished-product-yet https://gitlab.torproject.org/tpo/applications/vpn

#KDE launches its own #Linux distribution https://lwn.net/SubscriberLink/1037166/caa6979c16a99c9e/ https://kde.org/linux Comments

ChatterUI - A simple app for LLMs https://github.com/Vali-98/ChatterUI https://t.me/chatterui ChatterUI is a native mobile frontend for LLMs. Run LLMs on device or connect to various commercial or open source APIs. ChatterUI aims to provide a mobile-friendly interface with fine-grained control over chat structuring. Features: Run LLMs on-device in Local Mode Connect to various APIs in Remote Mode Chat with characters. (Supports the Character Card v2 specification.) Create and manage multiple chats per character. Customize Sampler fields and Instruct formatting Integrates with your device’s text-to-speech (TTS) engine Usage Download and install latest APK from the releases page. iOS is Currently unavailable due to lacking iOS hardware for development Local Mode ChatterUI uses a llama.cpp under the hood to run gguf files on device. A custom adapter is used to integrate with react-native: cui-llama.rn To use on-device inferencing, first enable Local Mode, then go to Models > Import Model / Use External Model and choose a gguf model that can fit on your device's memory. The importing functions are as follows: Import Model: Copies the model file into ChatterUI, potentially speeding up startup time. Use External Model: Uses a model from your device storage directly, removing the need to copy large files into ChatterUI but with a slight delay in load times. After that, you can load the model and begin chatting! Note: For devices with Snapdragon 8 Gen 1 and above or Exynos 2200+, it is recommended to use the Q4_0 quantization for optimized performance. Remote Mode Remote Mode allows you to connect to a few common APIs from both commercial and open source projects. Open Source Backends: koboldcpp text-generation-webui Ollama Dedicated API: OpenAI Claude (with ability to use a proxy) Cohere Open Router Mancer AI Horde Generic backends: Generic Text Completions Generic Chat Completions These should be compliant with any Text Completion/Chat Completion backends such as Groq or Infermatic. Custom APIs: Is your API provider missing? ChatterUI allows you to define APIs using its template system. Read more about it here! #ai#Android

Maid is heating up my phone and draining battery. I don't recommend it for lower end phones. If snapdragon 8 gen 2 is behaving like this, lower end phones will fail to run this app Anyway, it runs without internet!

Maid - Mobile Artificial Intelligence Distribution Maid is a cross-platform free and an open-source application for interfacing with llama.cpp models locally, and remotely with Ollama, Mistral, Google Gemini and OpenAI models remotely. -Choose from A wide range of models that runs LOCALLY and access remote models via api key! -Text based output -Image Generation (Selected Models only) -No video or short clips generation yet -Voice generation on selected models (Not tested) -Setting model parameters -Setting system prompt (Making the model behave/generate output in a certain way). -And more. Get it on Github - https://github.com/Mobile-Artificial-Intelligence/maid/releases/latest Fdroid - https://f-droid.org/packages/com.danemadsen.maid/ Spystore - https://play.google.com/store/apps/details?id=com.danemadsen.maid *Don't clear CACHE OF THE APP AND EXCLUDE IT FROM SYSTEM'S AUTO CACHE CLEANING as app stores everything in device cache* Follow @nogoolag and @libreware for more #ai

Ian Clarke, Creator of #Freenet, discusses #Locutus https://www.bitchute.com/video/joq5BRfMdnqG Ian Clarke Explains the Next Generation of Freenet https://www.bitchute.com/video/lSgkytx0JdUg/ Ghost Keys and Cypherpunk Reputation Systems w⧸ Ian Clarke of Freenet Freenet: https://freenetproject.org/index.html https://freenet.org/faq/#why-was-freenet-rearchitected-and-rebranded https://futo.org

#Movuan#PINE64 The Movuan project was started by community member lxb and announced in a forum post as an alternative to mobile distributions using the #systemd init system. Thanks to being forked from Mobian, the project makes use of modified Mobian debos to build it’s images. One of the modifications that lxb makes is an optional script which can customize a Movuan image to install extra software like AndroidImpEx for importing contacts and sms messages from an Android phone, Ungoogled Chromium, local caching DNS (bind) tunnelled through TLS (stubby) to privacy minded servers and an inbuilt adblocker through a caching proxy (squid). These modifications are a personal preference of lxb’s but anyone is free to use them to help improve their privacy. https://pine64.org/2025/08/27/august_2025_movuan/

#bootloader unlock wall of shame https://github.com/melontini/bootloader-unlock-wall-of-shame updated guide, check it before buying a #phone Over the past few years, a suspicious number of companies have started to "take care of your data", aka block/strictly limit your ability to unlock the bootloader on your own devices. While this may not affect you directly, it sets a bad precedent. You never know what will get the axe next: Shizuku? ADB? Sideloading? I thought it might be a good idea to keep track of bad companies and workarounds. #android