Libreware

I Built a Safer #OpenClaw Alternative Using #Claude#AI Code OpenClaw is the fastest-growing open-source AI project in recent memory - 185,000 GitHub stars already! A legitimately impressive personal AI assistant that can manage your life and you can talk to it anywhere. But it has serious security issues - the docs literally say "there is no perfectly secure setup." So I took the core genius ideas from OpenClaw - the memory system, the proactive heartbeat, the multi-platform adapters, the extensibility through skills - and I built my own version using just Claude Code. It took me two days. The result is simpler, more secure, and tailored exactly to what I need. I'll introduce you to how I did this now and more content on this coming soon! https://youtu.be/XmweZ4fLkcI #assistant#agent

AI-Video-Transcriber #AI#Video#Transcriber is a powerful video transcription and summarization tool with support for over 30 platforms such as #YouTube and #TikTok. It offers multilingual support and intelligent transcription with high accuracy through Faster-Whisper. The tool also provides automatic text optimization and #summary#translation using GPT-4. AI-Video-Transcriber is also compatible with mobile devices, making it easy to use. https://github.com/wendy7756/AI-Video-Transcriber ================ @open_source_friend

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 - 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

Krita Free and open source digital painting application. It is for artists who want to create professional work from start to end. Krita is used by comic book artists, illustrators, concept artists, matte and texture painters and in the digital VFX industry. https://krita.org https://invent.kde.org/graphics/krita Download https://cdn.kde.org/ci-builds/graphics/krita/ #AI plugin https://kritaaidiffusion.com #krita#image#editor#paint

Cherry Studio Cherry Studio is a desktop client for Windows, Mac and Linux, which supports many LLM providers, including large cloud services and local models. Among its main functions is the ability to work with more than 300 pre -designed #AI assistants, the creation of custom assistants, as well as support for various formats of documents, including text, images and office files. The application offers tools for global search, top management and translating, which significantly improves interaction with the user thanks to the cross -platform and many settings options. https://github.com/cherryhq/cherry-studio

Run DeepSeek R1 #AI locally on #Linux with our guide. https://itsfoss.com/install-deepseek-r1-locally-linux/ the 1.5b model is not that useful, check the other variants here: https://ollama.com/library/deepseek-r1/tags Up to 14b is recommended for most home computers: https://ollama.com/library/deepseek-r1 @itsfoss_official

Open NotebookLM offers a community-driven #ai#alternative to Google NotebookLM! https://itsfoss.com/open-notebooklm/ @itsfoss_official

LibreChat AI Open-source platform that allows users to chat and interact with various #AI models through a unified interface. You can use OpenAI, Gemini, Anthropic and other AI models using their API. You may also use Ollama as an endpoint and use LibreChat to interact with local LLMs. It can be installed locally or deployed on a server. LibreChat is designed to be highly customizable and supports a wide range of AI providers and services. Let me summarize its main features: Free and Open Source: Accessible to everyone without any costs. Customization: Offers extensive options to tailor the platform to individual preferences. Multi-AI Support: Integrates with numerous AI models and services. Unified Interface: Provides a consistent experience for interacting with different AI models. https://www.librechat.ai https://itsfoss.com/librechat-linux/

Jan.ai https://jan.ai A platform that enables you to run self-hosted local #AI. Jan provides an OpenAI-equivalent API server at localhost:1337 that can be used as a drop-in replacement with compatible apps. With Jan, you can: -Run open-source LLMs locally or connect to cloud AIs like ChatGPT or Google. -Search the web and databases. Integrate AI with everyday tools to work on your behalf (with permission). -Customize and add features with Extensions. Jan is opinionated software about what AI should be.

Nextcloud now offers AI integration for your Nextcloud server. Apps aren't installed by default, except Smart Mail, Background Images & Sus Login. AI comes with risk, so #Nextcloud rates their #AI apps at 4 levels, based on 3 conditions. Conditions 1. Is it open source? 2. is the trained model free for self-hosting? 3. is the training data available and free to use? Rating levels 🟢 = All condition met 🟡 = 2 conditions met 🟠 = 1 condition met 🔴 = 0 conditions met The AI apps are listed below w/their ratings. 👇 IMAGE GENERATION 🟡Online StableDiffusion 🟡Self-Hosted StableDiffusion 🔴Online DALL-E 2 TEXT GENERATION 🟡LocalAI 🔴ChatGPT SPEECH-2-TEXT DICTATION 🟢OpenAI Whisper 🟡External Whisper SPEECH-2-TEXT TRANSCRIPTION 🟢OpenAI Whisper 🟢LocalAI SMART INBOX 🟢 Built-In (can be disabled in low-left settings) FACE/OBJECT RECOGNITION 🟢Recognize BACKGROUND IMAGES/BLUR 🟢 Built-In TRANSLATION 🟢Opus 🟢LibreTranslate 🔴DeepL SUSPICIOUS LOGIN 🟢 Built-In ⚡️@LinuxTechIndex

Project Bringing Hardware Accelerated Language Models to Android Devices We introduce MLC LLM for Android – a solution that allows large language models to be deployed natively on Android devices, plus a productive framework for everyone to further optimize model performance for their use cases. Everything runs locally and accelerated with native GPU on the phone. We can run Vicuña-7b on Android Samsung Galaxy S23. Github https://github.com/mlc-ai/mlc-llm/tree/main/android Demo: https://mlc.ai/mlc-llm/#android #ai#assistant#gpt#android