Showing 4 open source projects for "vs studio code"

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  • 1
    llama.vscode

    llama.vscode

    VS Code extension for LLM-assisted code/text completion

    llama.vscode is a Visual Studio Code extension that provides AI-assisted coding features powered primarily by locally running language models. The extension is designed to be lightweight and efficient, enabling developers to use AI tools even on consumer-grade hardware. It integrates with the llama.cpp runtime to run language models locally, eliminating the need to rely entirely on external APIs or cloud providers.
    Downloads: 0 This Week
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  • 2
    swark.io

    swark.io

    Create architecture diagrams from code automatically using LLMs

    Swark is an open-source developer tool and Visual Studio Code extension that automatically generates software architecture diagrams directly from source code using large language models. The project aims to help developers quickly understand complex codebases by analyzing repositories and producing visual diagrams that represent system architecture, dependencies, and component relationships.
    Downloads: 0 This Week
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  • 3
    Flexpilot IDE

    Flexpilot IDE

    Open-Source AI Native IDE

    Flexpilot IDE is an open-source integrated development environment designed specifically for AI-assisted software development. Built as a fork of Visual Studio Code, the project provides a familiar development interface while integrating advanced AI capabilities directly into the coding workflow. The platform is designed to be privacy-focused and flexible, allowing developers to use their own API keys for different large language models rather than relying on a single proprietary AI provider. ...
    Downloads: 2 This Week
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  • 4
    Nanocoder

    Nanocoder

    A beautiful local-first coding agent running in your terminal

    ...The tool is designed as a privacy-focused alternative to proprietary AI coding assistants, allowing users to run local models or connect to external APIs while keeping full control over their data and development workflow. Built with TypeScript and distributed as a CLI application, nanocoder enables developers to interact with AI agents that can read files, modify code, execute commands, and assist with debugging tasks. The platform supports multiple AI providers through OpenAI-compatible APIs and can also integrate with local model runtimes such as Ollama or LM Studio. Its architecture emphasizes extensibility through custom commands and integration with Model Context Protocol servers that allow the AI agent to access additional tools.
    Downloads: 3 This Week
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