Open Source Android Artificial Intelligence Apps
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Artificial Intelligence Apps for Android
View 1876 business solutionsBrowse free open source Artificial Intelligence apps and projects for Android below. Use the toggles on the left to filter open source Artificial Intelligence apps by OS, license, language, programming language, and project status.
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Patching and Endpoint Management for Under $1/EndpointSplashtop AEM gives IT teams automated patching, monitoring, and unattended remote access for Windows and macOS. No long setup, no paying extra for key features.
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OpenCV
Open Source Computer Vision Library
The Open Source Computer Vision Library has >2500 algorithms, extensive documentation and sample code for real-time computer vision. It works on Windows, Linux, Mac OS X, Android, iOS in your browser through JavaScript. Languages: C++, Python, Julia, Javascript Homepage: https://opencv.org Q&A forum: https://forum.opencv.org/ Documentation: https://docs.opencv.org Source code: https://github.com/opencv Please pay special attention to our tutorials! https://docs.opencv.org/master Books about the OpenCV are described here: https://opencv.org/books.html -
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DSHA
Run DeepSeek Harness on your phone without ROOT or Termux
DSHA is a free, open-source Android launcher for running DeepSeek Harness directly on smartphones without root access or Termux. It includes a complete Ubuntu environment with Python, Git, Node.js, and other development tools. Users can configure AI models and interact with agents through a mobile-friendly web interface. The application supports both proot and proroot execution environments. Its device integration enables agents to inspect screens, enter text, perform taps, and execute authorized automation tasks. Wireless ADB connectivity and experimental virtual displays expand device control. DSHA also provides automatic backups, managed updates, diagnostic tools, and recovery options. It simplifies deploying a capable AI agent environment on Android devices. -
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whisper.cpp
Port of OpenAI's Whisper model in C/C++
whisper.cpp is a lightweight, C/C++ reimplementation of OpenAI’s Whisper automatic speech recognition (ASR) model—designed for efficient, standalone transcription without external dependencies. The entire high-level implementation of the model is contained in whisper.h and whisper.cpp. The rest of the code is part of the ggml machine learning library. The command downloads the base.en model converted to custom ggml format and runs the inference on all .wav samples in the folder samples. whisper.cpp supports integer quantization of the Whisper ggml models. Quantized models require less memory and disk space and depending on the hardware can be processed more efficiently. -
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Operit AI
Powerful Android AI agent with tools, automation, and Linux shell
Operit is a full-featured AI assistant and agent platform designed specifically for Android devices, aiming to go far beyond traditional chat-based interfaces. It integrates deep system-level capabilities with a wide range of tools, allowing the AI to perform real tasks such as file management, automation, and system control directly on the device. A standout aspect of the project is its built-in Ubuntu 24 environment, which enables users to run Linux commands, scripts, and development tools in a mobile context. Operit supports both local and remote AI models, including offline execution through frameworks like llama.cpp and MNN, helping preserve user privacy while maintaining flexibility. Operit also includes an intelligent memory system that stores, organizes, and retrieves user interactions to provide more personalized and context-aware responses. In addition, it offers workflow automation, plugin extensibility, & a rich tool ecosystem, making it suitable for advanced productivity. -
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DSH Desktop
A modern desktop solution built for the DeepSeek Harness (DSH) plugin
DSH Desktop is an open-source native desktop client that packages DeepSeek Harness into a ready-to-use Windows and macOS application. It combines the upstream local Web UI, Host service, and plugin system with desktop windows, system tray controls, terminals, updates, and workspace configuration. The app automatically starts and manages the local Harness service without requiring Node.js or terminal commands. Its architecture treats the desktop shell itself as a plugin alongside models, tools, interfaces, and workflows. An integrated community marketplace supports discovering, installing, and managing compatible plugins. Users can also remotely launch tasks and monitor agent progress from iOS or Android devices. The project runs a pinned upstream Harness version without modifying its core source. -
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OpenCV
Open Source Computer Vision Library
OpenCV (Open Source Computer Vision Library) is a comprehensive open-source library for computer vision, machine learning, and image processing. It enables developers to build real-time vision applications ranging from facial recognition to object tracking. OpenCV supports a wide range of programming languages including C++, Python, and Java, and is optimized for both CPU and GPU operations. -
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Orca
Orca is the ADE for working with a fleet of parallel agents
Orca is an agentic development environment for working with multiple coding agents in parallel. It is designed for developers who want to orchestrate agent-based coding workflows instead of running one isolated assistant at a time. The project lets users run coding agents with their own subscriptions, which keeps control over provider access in the user’s hands. Orca is available on desktop and also includes a mobile companion for monitoring and steering agents from a phone. Its focus is parallel agent work, development orchestration, and a more structured workspace for agent-driven coding. Overall, it is built for teams and individual developers who want to coordinate many AI coding sessions from one environment. -
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Codex Mobile
Run Codex Mobile Anywhere: Linux, Windows, or Termux on Android
Codex Mobile is a lightweight bridge that exposes Codex app-server workflows through a browser-accessible interface. It is designed to let users run a Codex-style UI on Linux, Windows, or Termux-powered Android setups. The project starts a local web server with one command, then lets the user open the interface from the same machine, a LAN device, or another reachable connection. It can also create a Cloudflare tunnel by default, making remote access easier when the local setup allows it. Codex Mobile is useful for developers who want to control coding-agent sessions from a phone, tablet, remote browser, or nonstandard environment. Its main value is making Codex app workflows more portable, accessible, and usable beyond a traditional desktop terminal. -
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Google AI Edge Gallery
A gallery that showcases on-device ML/GenAI use cases
Gallery is a curated collection of on-device machine learning examples, demo apps, and model artifacts designed to help developers experiment with and deploy ML at the edge. The project bundles runnable samples that show how to run TensorFlow Lite/Edge TPU models (and similar lightweight runtimes) on mobile and embedded platforms, demonstrating common tasks like image classification, object detection, audio recognition, and pose estimation. Each sample is intended to be both a learning aid and a practical starting point: code is organized to show model loading, pre/post-processing, performance measurement, and common optimization knobs (quantization, NNAPI/Delegate usage, and hardware accelerators). The repo also collects small, well-documented models and conversion scripts so developers can reproduce a pipeline from a full-size model down to a device-friendly artifact. -
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Open Interpreter
A natural language interface for computers
Open Interpreter is an open-source tool that provides a natural-language interface for interacting with your computer. It lets large language models (LLMs) run code locally (Python, JavaScript, shell, etc.), enabling you to ask your computer to do tasks like data analysis, file manipulation, browsing, etc. in human terms (“chat with your computer”), with safeguards. Runs locally or via configured remote LLM servers/inference backends, giving flexibility to use models you trust or have locally. It prompts you to approve code before executing, and supports both online LLM models and local inference servers. It seeks to combine convenience (like ChatGPT’s code interpreter) with control and flexibility by running on your own machine. -
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DeepSeek R1
Open-source, high-performance AI model with advanced reasoning
DeepSeek-R1 is an open-source large language model developed by DeepSeek, designed to excel in complex reasoning tasks across domains such as mathematics, coding, and language. DeepSeek R1 offers unrestricted access for both commercial and academic use. The model employs a Mixture of Experts (MoE) architecture, comprising 671 billion total parameters with 37 billion active parameters per token, and supports a context length of up to 128,000 tokens. DeepSeek-R1's training regimen uniquely integrates large-scale reinforcement learning (RL) without relying on supervised fine-tuning, enabling the model to develop advanced reasoning capabilities. This approach has resulted in performance comparable to leading models like OpenAI's o1, while maintaining cost-efficiency. To further support the research community, DeepSeek has released distilled versions of the model based on architectures such as LLaMA and Qwen. -
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Vosk Speech Recognition Toolkit
Offline speech recognition API for Android, iOS, Raspberry Pi
Vosk is an offline open source speech recognition toolkit. It enables speech recognition for 20+ languages and dialects - English, Indian English, German, French, Spanish, Portuguese, Chinese, Russian, Turkish, Vietnamese, Italian, Dutch, Catalan, Arabic, Greek, Farsi, Filipino, Ukrainian, Kazakh, Swedish, Japanese, Esperanto, Hindi, Czech, Polish. More to come. Vosk models are small (50 Mb) but provide continuous large vocabulary transcription, zero-latency response with streaming API, reconfigurable vocabulary and speaker identification. Speech recognition bindings are implemented for various programming languages like Python, Java, Node.JS, C#, C++, Rust, Go and others. Vosk supplies speech recognition for chatbots, smart home appliances, and virtual assistants. It can also create subtitles for movies, and transcription for lectures and interviews. Vosk scales from small devices like Raspberry Pi or Android smartphones to big clusters. -
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Locally Uncensored
The all-in-one local AI studio for your desktop
Locally Uncensored is a free, open-source AI desktop application that combines private chatbot conversations, image generation, video creation, and coding assistance. It enables users to run language models directly on their computers without requiring cloud services, Docker, or command-line configuration. The application supports local AI engines such as Ollama and LM Studio and simplifies model installation through a graphical manager. Users can generate and edit images, create videos, and manage creative workflows through integrated ComfyUI support. Its coding agent can inspect projects, propose changes, and execute tests. Additional capabilities include document analysis, voice conversations, persistent memory, and automated agent tasks. The software prioritizes local processing, user control, and flexible AI experimentation. -
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DeepSeek Harness Tauri
Better DSH desktop, zero environment setup, preset plugins
DeepSeek Harness Desktop is a free, open-source desktop application for running and managing the DeepSeek Harness AI agent environment. Built with Tauri and React, it provides a graphical interface without requiring manual Node.js, pnpm, or Docker setup. The application manages runtime dependencies, engine versions, and software updates. Its plugin system includes built-in extensions for scheduled tasks, model configuration, session archiving, and Git worktree management. Users can connect mobile devices through local networks or Cloudflare tunnels to access desktop sessions remotely. It also provides command-line integration, customizable themes, and animated desktop companions that display session activity. Available for Windows, macOS, and Linux, it simplifies extensible AI agent workflows. -
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Maid
Maid is a cross-platform Flutter app for interfacing with GGUF
Maid is a cross-platform Flutter app for interfacing with GGUF / llama.cpp models locally, and with Ollama and OpenAI models remotely. Maid is a cross-platform free and open source application for interfacing with llama.cpp models locally, and remotely with Ollama, Mistral, Google Gemini and OpenAI models remotely. Maid supports Sillytavern character cards to allow you to interact with all your favorite characters. Maid supports downloading a curated list of Models in-app directly from hugging face. -
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DeepSeek-V3
Powerful AI language model (MoE) optimized for efficiency/performance
DeepSeek-V3 is a robust Mixture-of-Experts (MoE) language model developed by DeepSeek, featuring a total of 671 billion parameters, with 37 billion activated per token. It employs Multi-head Latent Attention (MLA) and the DeepSeekMoE architecture to enhance computational efficiency. The model introduces an auxiliary-loss-free load balancing strategy and a multi-token prediction training objective to boost performance. Trained on 14.8 trillion diverse, high-quality tokens, DeepSeek-V3 underwent supervised fine-tuning and reinforcement learning to fully realize its capabilities. Evaluations indicate that it outperforms other open-source models and rivals leading closed-source models, achieving this with a training duration of 55 days on 2,048 Nvidia H800 GPUs, costing approximately $5.58 million. -
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nndeploy
An Easy-to-Use and High-Performance AI Deployment Framework
nndeploy is an open-source framework designed to simplify the deployment of artificial intelligence models across multiple hardware platforms and devices. The framework focuses on making it easier to transform trained AI models into production-ready applications that can run efficiently on desktops, mobile devices, servers, and edge computing hardware. Developers can use visual workflows to design and configure AI processing pipelines by connecting modular nodes that represent different stages of the inference process. The system supports multiple inference engines and hardware accelerators, allowing the same AI workflow to run on different platforms without significant modifications. nndeploy also includes performance optimization techniques such as parallel execution, memory reuse, and hardware-accelerated operations to improve inference speed. -
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DSH Go
DeepSeek Harness in your pocket
DSH Go is a free, open-source Android client for running and remotely accessing DeepSeek Harness AI agents. It includes a built-in Linux environment that allows the agent framework to operate without root access or Termux. Users can connect to DeepSeek Harness instances on computers and servers through supported remote connections. The application provides native chat and web interfaces with model switching, image attachments, and voice input. With permission, agents can inspect the Android screen, tap controls, and enter text. Its interactive interface supports tool approvals, questions, and plugin-specific panels. Users can share conversations through encrypted replay links and customize themes and animated companions. DSH Go supports Android 8.0 and newer devices. -
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Chatbox
The Ultimate AI Copilot on Your Desktop
Chatbox is a cross-platform desktop AI client designed to give you a fast, polished, and private way to work with modern language models. It runs locally on Windows, macOS, and Linux, keeping your conversations and data stored on your own device. Chatbox acts as a unified interface for popular LLMs like ChatGPT, Claude, Gemini, and local models via Ollama, making it easy to switch providers without changing tools. Built with an ergonomic UI, it’s optimized for long sessions, prompt experimentation, and everyday productivity. The app supports rich formatting, streaming responses, and advanced prompting to help you get clearer, more useful outputs. For individuals and teams alike, Chatbox serves as a powerful desktop copilot that blends simplicity with flexibility. -
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AnyClaw
AnyClaw — OpenClaw + Codex + Claude Code on Android
AnyClaw is an Android-based AI assistant platform that combines OpenClaw, OpenAI Codex CLI, and OpenClaude (formerly Claw Code) into a single mobile application. It enables users to run advanced AI coding agents directly on their Android devices within a self-contained Linux environment. The platform provides conversational coding, agent routing, multi-threaded sessions, and automation capabilities without requiring root access or external servers. AnyClaw includes a full dashboard for managing chats, skills, tools, and AI workflows from a mobile interface. With support for multiple AI providers, users can interact with OpenAI, Claude-compatible, and local models through a unified experience. Designed for developers and AI enthusiasts, AnyClaw brings powerful coding and productivity agents to smartphones for development and automation on the go. -
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MTProto
Full-native go implementation of Telegram API
Full-native implementation of MTProto protocol on Golang. All code, from sending requests to encryption serialization is written in pure Golang. You don't need to fetch any additional dependencies. -
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Folo
Folo is the AI Reader
Folo is an AI-powered RSS reader and information aggregation platform designed to help users follow online content in a single, distraction-free timeline. The project focuses on reducing information overload by automatically organizing feeds and surfacing the most relevant updates based on user preferences. It incorporates AI features that summarize timelines, label entries, and adapt recommendations over time so the reading experience becomes more personalized. Folo is built as a modern cross-platform application with support for desktop, mobile, and web environments, positioning it as a next-generation alternative to traditional feed readers. The system also emphasizes user control through features like Bring Your Own Key support for AI providers and customizable feed management. Overall, Folo functions as an intelligent reading hub that blends classic RSS aggregation with adaptive AI filtering and summarization. -
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TTS Server
Android system TTS application with Microsoft demo interface
tts-server-android is an Android system TTS application that acts both as a powerful local text-to-speech engine and as a flexible TTS “server” for other apps via HTTP. It includes a built-in Microsoft TTS demo interface and lets users configure custom HTTP requests, making it possible to route TTS through various cloud providers or local servers. The app can import other local TTS engines, giving Android devices a unified interface to multiple voices and providers, and it features simple narration/dialogue detection based on Chinese quotation marks so it can read text with different styles for narration and dialogue. It is built with Kotlin and Jetpack Compose, and the project is structured into multiple libraries (lib-tts, lib-server, lib-compose, lib-database, etc.) to separate UI, server logic, and TTS handling. The app supports advanced features like automatic retry, fallback configurations, text replacement rules, and integrations with reading apps. -
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OSS-DocumentScanner
Document scanning app
OSS Document Scanner is a free, open-source mobile application designed for scanning, organizing, and exporting physical documents. It transforms smartphone camera images into digital documents using automatic edge detection and perspective correction. Users can adjust scanned pages through cropping, rotation, and image enhancement filters. Its integrated optical character recognition extracts searchable text from scanned documents. The software supports multipage PDFs with optional OCR text layers. Documents can be organized into folders and shared or exported as needed. Optional synchronization and backup capabilities help users maintain their collections across devices. Available for Android and iOS, OSS Document Scanner processes documents locally and includes no advertising or tracking. -
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Forge: Magic: The Gathering Rules Engine
An unofficial rules engine for the world's greatest card game
Forge is a comprehensive open-source rules engine and gameplay platform designed to simulate and extend the card game Magic: The Gathering in a fully digital environment. Developed collaboratively by a community of contributors, it implements the vast majority of the game’s rules and card interactions, allowing players to experience both casual and competitive gameplay without official clients. The software supports multiple play modes, including single-player against AI opponents, multiplayer sessions, and even adventure-style gameplay modes that expand beyond traditional card duels. Its architecture is highly extensible, enabling developers to script new cards, create custom sets, and modify gameplay mechanics through its API and scripting system. Forge includes tools for deck building, card searching, and automated gameplay assistance, making it accessible to both new players and experienced enthusiasts.
