Open Source Kotlin Artificial Intelligence Software
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Kotlin Artificial Intelligence Software
View 15402 business solutionsBrowse free open source Kotlin Artificial Intelligence Software and projects below. Use the toggles on the left to filter open source Kotlin Artificial Intelligence Software by OS, license, language, programming language, and project status.
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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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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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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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ChatGPT Android
ChatGPT Android demonstrates OpenAI's ChatGPT on Android
ChatGPT Android demonstrates OpenAI's ChatGPT on Android with Stream Chat SDK for Compose. -
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AutoDev
The AI-powered coding wizard
The AI-powered coding wizard with multilingual support, auto code generation, and a helpful bug-slaying assistant. Customizable prompts and a magic Auto Dev/Testing/Document/Agent feature are included. -
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Dicio assistant
Dicio assistant app for Android
Dicio is a free and open source voice assistant for Android that focuses on strong privacy by running its understanding and response generation directly on the device whenever possible. It supports multiple input and output methods, including hotword-based voice input using the Vosk speech-to-text engine and a graphical interface for users who prefer to tap instead of talk. The assistant is built around a flexible “skills” system that lets it respond to a wide variety of requests such as search, weather, navigation, calculator, timers, media control, and more. It offers rich multilingual support and is already available in a wide range of languages including English, Spanish, German, French, Italian, Russian, and others. The project integrates tightly with a custom “sentences language” and compiler so each language can define its own natural phrasings to trigger skills without sacrificing accuracy. -
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Lumo Android App
Android application for Proton Lumo
Lumo Android App is the official Android client implementation of Lumo, a privacy-first AI assistant created by Proton that lets users interact with an intelligent chatbot securely and confidentially on mobile devices. Lumo is designed so that every conversation remains encrypted and private, meaning chats are not logged, tracked, or used to train external large language models, and all interactions are protected with zero-access encryption so only the user can read them. The Android app offers a responsive, native experience where users can ask questions, summarize documents, brainstorm ideas, or get help with tasks—while Proton’s strict privacy protections extend to the mobile interface. It integrates smoothly with Android’s system UI and supports features like voice input or clipboard sharing for convenience, while respecting user data control and transparency. -
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Embabel Agent Framework
Agent framework for the JVM. Pronounced Em-BAY-bel
Embabel Agent Framework is a JVM-based framework for building advanced AI agent systems that combine structured programming with large language model interactions to execute complex, goal-oriented workflows. The framework introduces a planning-driven approach where agents dynamically determine sequences of actions required to achieve objectives, rather than relying on fixed pipelines or predefined flows. It models agent behavior through concepts such as goals, actions, and conditions, allowing systems to adapt in real time based on changing inputs and outcomes. Built on top of the Spring ecosystem, it integrates seamlessly with enterprise infrastructure, enabling features like dependency injection, persistence, and transaction management. The framework supports multiple execution modes, including focused, closed, and open systems, each offering different levels of autonomy and flexibility. -
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mirai
Efficient QQ Robot support library
mirai is a high-efficiency robot library that runs on all platforms and provides QQ Android protocol support. mirai is completely free and open-source software for learning and entertainment use only. mirai will not impose fees or impose material conditions on users in any way. mirai is maintained by the entire open source community and is not the work of an individual. All contributors enjoy the copyright of their work. If citing a package published by mirai without modifying mirai, derived projects should mention the use of mirai anywhere in the description. Synchronize messages from other clients. Send messages to other clients. All development is for learning, do not use for illegal purposes. -
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askimo
AI desktop app with local RAG, privacy-first, multi-model support
Askimo is an open-source, privacy-first AI desktop application designed to help users work with multiple AI models from a single, consistent interface. It supports popular AI providers such as OpenAI, Anthropic (Claude), Gemini, Ollama, LocalAI, Docker AI, LM Studio, and X AI, allowing users to switch models easily without vendor lock-in. A core feature of Askimo is Retrieval-Augmented Generation (RAG). Users can connect the app to local files, documents, and project folders so the AI can answer questions using their own knowledge base. All indexing, search, and history storage happen locally, ensuring sensitive data stays on the user’s machine. Askimo is built around project-based sessions, customizable conversation styles (directives), and searchable local history, making it well suited for document analysis, research, planning, and daily business workflows. The application runs on macOS, Windows, and Linux, with a strong focus on usability, performance, and transparency. -
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ProxyAI
The leading open-source AI copilot for JetBrains
ProxyAI is an open-source AI-powered coding assistant designed primarily for JetBrains IDEs, offering a highly customizable alternative to tools like GitHub Copilot while maintaining flexibility across multiple AI providers and deployment environments. It allows developers to connect to a wide range of language models, including cloud-based services and locally hosted models, enabling both online and fully offline workflows depending on user preferences. The platform emphasizes deep integration with the developer’s environment, providing context-aware assistance by referencing files, folders, Git history, and even external documentation during interactions. ProxyAI enhances productivity by enabling natural language-driven code editing, intelligent autocompletion, and automated generation of commit messages, all within the IDE interface. Its architecture supports extensibility and personalization, allowing users to tailor the assistant’s behavior through different personas. -
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AppShark
Static taint analysis platform to scan vulnerabilities
AppShark is an open-source static taint-analysis platform developed by ByteDance designed to scan Android application packages (APKs) for potential security or privacy vulnerabilities. It performs code analysis without executing the app — inspecting APK contents, tracking data flows (taints), and detecting risky patterns such as insecure file access, unsafe API usage, resource-leak possibilities, or misconfigurations. Users can customize scanning via rule sets (written in JSON), defining which types of vulnerabilities or compliance issues to detect — making AppShark flexible and adaptable to different security policies or threat models. Because it is static and rule-driven, AppShark can scale to large codebases, be integrated into CI/CD pipelines, or operate as part of security audits before publishing or distribution. After analysis, it outputs structured results (e.g. JSON summaries) detailing detected risks, their paths, and metadata. -
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Compressor
An android image compression library
Compressor is a lightweight and powerful android image compression library. Compressor will allow you to compress large photos into smaller sized photos with very less or negligible loss in quality of the image. Compressor now is using Kotlin coroutines! Stay cool compress image asynchronously with RxJava! Licensed under the Apache License. -
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Gradle MCP Server
A Model Context Protocol (MCP) server
The Gradle MCP Server is a Model Context Protocol implementation that enables AI tools to interact programmatically with Gradle projects. It uses the Gradle Tooling API to query project information and execute tasks, facilitating seamless integration with AI-driven development tools. -
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Koog
Koog is the official Kotlin framework for building AI agents
Koog is a Kotlin‑based framework for building and running AI agents entirely in idiomatic Kotlin, supporting both single‑run agents that process individual inputs and complex workflow agents with custom strategies and configurations. It features pure Kotlin implementation, seamless Model Control Protocol (MCP) integration for enhanced model management, vector embeddings for semantic search, and a flexible system for creating and extending tools that access external systems and APIs. Ready‑to‑use components address common AI engineering challenges, while intelligent history compression optimizes token usage and preserves context. A powerful streaming API enables real‑time response processing and parallel tool calls. Persistent memory allows agents to retain knowledge across sessions and between agents, and comprehensive tracing facilities provide detailed debugging and monitoring. -
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Kotlin Telegram Bot
A wrapper for the Telegram Bot API written in Kotlin
A wrapper for the Telegram Bot API written in Kotlin. -
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KotlinDL
High-level Deep Learning Framework written in Kotlin
KotlinDL is a high-level Deep Learning API written in Kotlin and inspired by Keras. Under the hood, it uses TensorFlow Java API and ONNX Runtime API for Java. KotlinDL offers simple APIs for training deep learning models from scratch, importing existing Keras and ONNX models for inference, and leveraging transfer learning for tailoring existing pre-trained models to your tasks. This project aims to make Deep Learning easier for JVM and Android developers and simplify deploying deep learning models in production environments. -
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OpenAI API client for Kotlin
OpenAI API client for Kotlin with multiplatform capabilities
OpenAI API client for Kotlin with multiplatform and coroutines capabilities. -
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RunVSAgent
Run VSCode-based coding agents and extensions seamlessly
RunVSAgent is a cross-platform development tool that lets VS Code-based coding agents and extensions run inside JetBrains IDEs and other IDE environments. It is designed to bridge the VS Code agent ecosystem with editors such as IntelliJ IDEA, WebStorm, PyCharm, PhpStorm, CLion, GoLand, Rider, Android Studio, and more. The project uses a Kotlin-based JetBrains plugin, a Node.js extension host, an editor bridge, and RPC communication to provide VS Code API compatibility outside VS Code. It supports agents such as Roo Code, Cline, and Kilo Code, making them available in IDEs where they would not normally run. This helps developers keep their preferred IDE while still using popular VS Code-native AI coding tools. Its main value is creating a compatibility layer between coding agents, extensions, and different development environments. -
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Shire
Empower Your Dev Ecosystem with AI Agents
Shire is an AI-driven development ecosystem that empowers developers with AI agents to automate coding tasks, enhance productivity, and elevate code quality. The concept of Shire has its roots in AutoDev, a subproject of UnitMesh. Within AutoDev, we envisioned an AI-driven integrated development environment for developers, which included Shire’s predecessor, DevIns. DevIns was designed to empower users to create custom AI agents tailored to their own IDEs, thus forging a personalized AI-powered development realm. -
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Tock
Tock, the open source conversational AI toolkit
Complete and autonomous NLU solution leveraging opensource libs, such as OpenNLP, Stanford, Duckling and more. Web, mobile, social networks, smart speakers and more. Create your bot once, connect it progressively to multiple channels as you need them. Simple graphical interfaces to build stories and models, manage multilingual and multichannel bots, better understand users with analytics. Program complex stories using Kotlin, Python or Node.js provided components, or integrate with any language by leveraging Tock APIs. Try Tock online, deploy in minutes using Docker running configurations, or setup your own platform to the Cloud, On-Premise, even embedded. More and more teams and companies trust in Tock and open conversational platforms. Built-in connectors for numerous text/voice channels, Messenger, WhatsApp, Google Assistant, Alexa, Twitter and more. -
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Voqal
Natural speech programming assistant for the software developers
Voqal is a programming assistant built for software developers looking to enhance their productivity with natural speech programming. Using Voqal, you can navigate, write, run, and debug software in JetBrains IDEs using your voice. Write code faster, reduce repetitive strain injuries, and improve focus and productivity. Voqal is promptable and privacy-focused, allowing you to customize your experience and control your data. -
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multi-agent-shogun
Samurai-inspired multi-agent system for Claude Code
multi-agent-shogun is a multi-agent orchestration system designed to coordinate multiple AI coding agents working in parallel. Inspired by the hierarchy of a feudal Japanese military structure, the system organizes agents into roles such as Shogun, Karo, and Ashigaru, which correspond to strategist, coordinator, and worker agents. A user interacts primarily with the Shogun agent by issuing natural language instructions that describe the desired tasks. The system then automatically distributes work among multiple worker agents, allowing tasks to run simultaneously rather than sequentially. The architecture uses tools such as tmux sessions and file-based message queues to coordinate communication between agents while maintaining parallel execution. Developers can monitor the progress of the agent swarm through dashboards that show the status of tasks and worker activity in real time.
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