Showing 12 open source projects for "linux windows apps"

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  • 1
    OpenAI API client for Kotlin

    OpenAI API client for Kotlin

    OpenAI API client for Kotlin with multiplatform capabilities

    OpenAI API client for Kotlin with multiplatform and coroutines capabilities.
    Downloads: 0 This Week
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  • 2
    AutoDev

    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.
    Downloads: 3 This Week
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  • 3
    Shire

    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...
    Downloads: 3 This Week
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  • 4
    ProxyAI

    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...
    Downloads: 2 This Week
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  • 5
    Gradle MCP Server

    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. ​
    Downloads: 0 This Week
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  • 6
    Voqal

    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.
    Downloads: 0 This Week
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  • 7
    RunVSAgent

    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...
    Downloads: 0 This Week
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  • 8
    Embabel Agent Framework

    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,...
    Downloads: 0 This Week
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  • 9
    multi-agent-shogun

    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...
    Downloads: 0 This Week
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  • 10
    Koog

    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....
    Downloads: 0 This Week
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  • 11
    askimo

    askimo

    AI desktop app with local RAG, privacy-first, multi-model support

    ...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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    Downloads: 31 This Week
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  • 12
    KotlinDL

    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...
    Downloads: 0 This Week
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