Search Results for "vs code studio"
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Showing 63 open source projects for "vs code studio"
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AWS Toolkit for Visual Studio Code
Local Lambda debug, CodeWhisperer, SAM/CFN syntax, etc.
The AWS Toolkit extension for Visual Studio Code enables you to interact with Amazon Web Services (AWS). Try the AWS Code Sample Catalog to start coding with the AWS SDK. The AWS Explorer provides access to the AWS services that you can work with when using the Toolkit. To see the AWS Explorer, choose the AWS icon in the Activity bar. The Developer Tools panel is a section for developer-focused tooling curated for working in an IDE. -
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CC Workflow Studio
Accelerate Claude Code/GitHub Copilot
CC Workflow Studio is a powerful Visual Studio Code extension that accelerates AI-assisted development by providing a visual workflow editor tailored for AI automation and agent orchestration, particularly with tools like Claude Code, GitHub Copilot, OpenAI Codex, and others. The extension lets developers and creators design complex AI workflows using intuitive drag-and-drop canvases or via conversational AI commands, blending graphical editing with natural language refinement. ... -
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Roo Code
Roo Code gives you a whole dev team of AI agents in your code editor
Roo Code is an AI-powered software engineering platform that works interactively in your IDE and autonomously in the cloud to help teams ship faster. It combines a powerful VS Code extension with cloud-based agents that can take on real development tasks across GitHub, Slack, and the web. Designed to work on your terms, Roo Code gives you full control locally while enabling delegation and parallel execution at scale. -
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Kilo Code
Gives you a whole dev team of AI agents in your code editor
...Developers can install Kilo across terminals, VS Code, and JetBrains editors for seamless integration into existing workflows. The platform also provides parallel agents, smart autocomplete, one-click deployment, and automated code reviews. As the #1 agent on OpenRouter with 750,000+ users, Kilo has become a trusted companion for agentic engineering at scale. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Unsloth Studio
Unified web UI for training and running open models locally
...The platform supports fine-tuning, pretraining, and reinforcement learning workflows, making it suitable for both experimentation and production use. Users can interact with models through chat, upload files like PDFs or images, and execute code within the environment to improve outputs. By combining powerful optimization techniques with an intuitive UI, Unsloth Studio simplifies the process of building and customizing AI models locally. -
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LangGraph Studio
Desktop app for prototyping and debugging LangGraph applications
LangGraph Studio offers a new way to develop LLM applications by providing a specialized agent IDE that enables visualization, interaction, and debugging of complex agentic applications. With visual graphs and the ability to edit state, you can better understand agent workflows and iterate faster. LangGraph Studio integrates with LangSmith so you can collaborate with teammates to debug failure modes. While in Beta, LangGraph Studio is available for free to all LangSmith users on any plan... -
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Coze Studio
An AI agent development platform with all-in-one visual tools
Coze Studio is ByteDance’s open‑source, visual AI agent development platform. It offers no-code/low-code workflows to build, debug, and deploy conversational agents, integrating prompting, RAG-based knowledge bases, plugin systems, and workflow orchestration. Developed in Go (backend) and React/TypeScript (frontend), it uses a containerized microservices architecture suitable for enterprise deployment. -
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MLJAR Studio
Python package for AutoML on Tabular Data with Feature Engineering
We are working on new way for visual programming. We developed a desktop application called MLJAR Studio. It is a notebook-based development environment with interactive code recipes and a managed Python environment. All running locally on your machine. We are waiting for your feedback. The mljar-supervised is an Automated Machine Learning Python package that works with tabular data. It is designed to save time for a data scientist. -
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DVC Extension for Visual Studio Code
https://github.com/iterative/vscode-dvc
A Visual Studio Code extension that integrates Data Version Control (DVC) into the development environment, enhancing reproducibility and collaboration for machine learning projects. -
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Void Editor
Open source AI IDE and Cursor alternative
Void is an open-source, AI-powered code editor built as a fork of Visual Studio Code. Designed as a fully transparent and privacy-focused alternative to Cursor or GitHub Copilot, it lets you use AI models locally or via APIs (OpenAI, Claude, Gemini, Ollama, etc.)—without routing data through proprietary servers. Developed by YC-backed startup Glass Devtools, it supports traditional coding features inherited from VS Code, enhanced with in-editor LLM capabilities—autocomplete, inline quick edits, and chat agents, all while giving developers total prompt and data control. -
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H2O LLM Studio
Framework and no-code GUI for fine-tuning LLMs
Welcome to H2O LLM Studio, a framework and no-code GUI designed for fine-tuning state-of-the-art large language models (LLMs). You can also use H2O LLM Studio with the command line interface (CLI) and specify the configuration file that contains all the experiment parameters. To finetune using H2O LLM Studio with CLI, activate the pipenv environment by running make shell. -
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Sourcery AI Code Review
Instant AI code reviews
...It integrates directly into development workflows through plugins for editors like VS Code, JetBrains IDEs, and command-line tools, so suggestions appear where developers already write code. Because it continuously evaluates changes, it can catch inefficiencies and suggest enhancements both while typing and during dedicated refactor passes. Teams can standardize code quality across codebases by adopting Sourcery’s automated suggestions as part of review or CI pipelines. -
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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. -
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Live Agent Studio
Open source AI Agents hosted on the oTTomator Live Agent Studio
...The repository is community focused, with sample agents like tweet generators, smart selectors, research assistants, and multi-tool workflows that show how agents can integrate with tools like n8n or custom Python code. Because it’s tied to the broader Live Agent Studio ecosystem, users can experiment with deploying and using these agents in a hosted environment. -
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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. -
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Continue
Continue is the leading open-source AI code assistant
Continue is the leading open-source AI code assistant. You can connect any models and any context to build custom autocomplete and chat experiences inside VS Code and JetBrains. Continue enables you to use the right model for the job, whether it's open-source or commercial, running local or remote, and used for chat, autocomplete, or embeddings. And we provide numerous points of configuration so that you can customize the extension to fit into your existing workflows. -
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Hunyuan3D 2.0
High-Resolution 3D Assets Generation with Large Scale Diffusion Models
The Hunyuan3D-2 model, developed by Tencent, is designed for generating high-resolution 3D assets using large-scale diffusion models. This model offers advanced capabilities for creating detailed 3D models, including texture enhancements, multi-view shape generation, and rapid inference for real-time applications. It is particularly useful for industries requiring high-quality 3D content, such as gaming, film, and virtual reality. Hunyuan3D-2 supports various enhancements and is available... -
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Genie AI
Your best AI pair programmer in VS Code
Your best AI pair programmer. Save conversations and continue any time. A Visual Studio Code - ChatGPT Integration. Supports, GPT-4o GPT-4 Turbo, GPT3.5 Turbo, GPT3, and Codex models. Create new files, and view diffs with one click; your copilot to learn code, add tests, find bugs, and more. -
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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. ... -
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Claude Debugs for You
Enable any LLM (e.g. Claude) to interactively debug any language
Claude Debugs For You is an MCP Server and VS Code extension that enables Claude, or any other Large Language Model, to interactively debug and evaluate expressions. It is language-agnostic and integrates with VS Code's debugging capabilities. -
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CodeGeeX
CodeGeeX: An Open Multilingual Code Generation Model (KDD 2023)
...CodeGeeX also powers IDE plugins for VS Code and JetBrains, offering features like code completion, translation, debugging, and annotation. The model supports Ascend 910 and NVIDIA GPUs, with optimizations like quantization and FasterTransformer acceleration for faster inference. -
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GPT PILOT
The first real AI developer
GPT PILOT is an open-source AI developer assistant designed to build full applications by collaborating with a human developer throughout the software lifecycle. Unlike simple autocomplete tools, it aims to function as a true AI engineer that can generate features, set up environments, debug code, and request feedback when necessary. The system works by asking clarifying questions, producing product requirements, and then implementing the application step by step while the user supervises. It powers the Pythagora VS Code extension and relies on coordinated AI agents that mimic roles in a real development workflow. GPT Pilot is intended to automate the majority of routine coding work while leaving strategic decisions and final review to the human developer. ... -
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CodeGeeX2
CodeGeeX2: A More Powerful Multilingual Code Generation Model
...With improved inference efficiency, quantization options, and multi-query/flash attention, CodeGeeX2 achieves faster generation speeds and lightweight deployment, requiring as little as 6GB GPU memory at INT4 precision. Its backend powers the CodeGeeX IDE plugins for VS Code, JetBrains, and other editors, offering developers interactive AI assistance with features like infilling and cross-file completion. -
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Mysti
AI coding dream team of agents for VS Code
Mysti is a VS Code extension that provides a unified interface for AI coding assistants and agent workflows, with a strong emphasis on multi-agent collaboration. Instead of replacing the tools developers already use, it integrates with popular CLI-based coding assistants and routes work through a single, consistent UI inside the editor. The experience is organized around “personas” that change how the assistant approaches a task, such as architecture, debugging, security review, performance tuning, or refactoring, which helps structure the AI’s behavior for different goals. ... -
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Ploomber
The fastest way to build data pipelines
Ploomber is an open-source framework designed to simplify the development and deployment of data science and machine learning pipelines. It allows developers to transform exploratory data analysis workflows into production-ready pipelines without rewriting large portions of code. The system integrates with common development environments such as Jupyter Notebook, VS Code, and PyCharm, enabling data scientists to continue working with familiar tools while building scalable workflows. Ploomber automatically manages task dependencies and execution order, allowing complex pipelines with multiple stages to run reliably. ...
