Refact AI

open_source

Refact AI is the #1 open-source AI coding agent on SWE-bench. Automate coding, debugging, and testing with full codebase context awareness. Self-host on-premise for complete data control.

AI Code Editors

Vibe Coding Tools

AI Coding Agents

About

Refact AI is an open-source autonomous AI coding agent built for software developers who want intelligent, context-aware assistance without sacrificing data privacy or flexibility. Ranked #1 on SWE-bench among open-source AI agents, Refact AI integrates directly into popular IDEs to automate end-to-end development tasks — from planning and writing code to debugging and deployment. The platform delivers three core capabilities: an autonomous agent that executes complete tasks from natural language descriptions, an in-IDE contextual chat for code edits and Q&A, and real-time autocompletion powered by Retrieval-Augmented Generation (RAG) and the Qwen2.5-Coder model. The agent connects with GitHub, databases, CI/CD pipelines, and other tools to work like a developer directly inside your environment. Refact AI can be deployed on-premise, making it a strong fit for enterprise teams with data security requirements. It supports multiple LLMs and allows fine-tuning on proprietary codebases, giving teams highly accurate, project-specific suggestions. Individual developers can start for free in their preferred IDE, while enterprise teams get dedicated support and advanced customization. As an open-source alternative to Cursor and GitHub Copilot, Refact AI is fully auditable, community-driven, and designed to adapt to any workflow — making it one of the most powerful and transparent AI coding tools available.

Key Features

Autonomous End-to-End Coding Agent: Describe a task in natural language and Refact AI plans, executes, and deploys the solution step-by-step, integrating with your codebase, GitHub, databases, and CI/CD pipelines.
RAG-Powered Real-Time Autocompletion: Context-aware code completion powered by Retrieval-Augmented Generation and Qwen2.5-Coder analyzes every symbol you type to predict the next lines, functions, or classes.
In-IDE Contextual Chat: Ask questions, request code edits, and debug issues in natural language directly in your IDE with responses tailored to your specific project context.
Self-Hosted On-Premise Deployment: Deploy Refact AI on your own infrastructure for full data ownership and privacy — ideal for enterprise teams with strict security or compliance requirements.
Multi-LLM Support and Fine-Tuning: Choose from multiple LLMs and fine-tune models on your own codebase to achieve highly accurate, project-specific code suggestions and agent behavior.

Use Cases

Automating full feature development end-to-end by describing requirements in natural language and letting the agent handle coding, testing, and deployment
Enterprise engineering teams that need a self-hosted AI coding assistant to keep proprietary code off third-party servers
Individual developers using AI-powered autocompletion to accelerate daily coding with context-aware, project-specific suggestions
Teams debugging complex legacy codebases with an AI agent that understands the full repository context via RAG
Developers new to a language or framework who use the autonomous agent to learn by doing, with the AI explaining logic while handling implementation

Pros

Fully open-source and self-hostable: The entire codebase is open-source and can be deployed on your own servers, giving teams complete control over data, models, and customization.
Top-ranked on SWE-bench: Independently verified as the #1 open-source AI agent on SWE-bench, confirming strong real-world performance on complex software engineering tasks.
True end-to-end task automation: The autonomous agent can handle entire features or bug fixes from a single prompt, integrating with GitHub, CI/CD, and databases for seamless execution.
Free to start with no friction: Individual developers can get started for free directly in their IDE with no credit card or sign-up barriers required.

Cons

On-premise setup requires infrastructure expertise: Self-hosting Refact AI demands server configuration and DevOps knowledge, which can be a barrier for smaller teams without dedicated infrastructure support.
Advanced enterprise features are paid: Team management, enterprise-grade fine-tuning on proprietary codebases, and dedicated support require a paid enterprise plan.
Primarily optimized for IDE workflows: Refact AI is built around IDE integration, which may be less suitable for developers who prefer purely browser-based or terminal-first environments.

Frequently Asked Questions

Yes. Refact AI is fully open-source and can be self-hosted on your own infrastructure, giving you complete control over your code, data, and model configuration.

Refact AI integrates with VS Code and other popular IDEs. Check the official documentation at refact.ai for the most up-to-date list of supported editors.

Refact AI is an open-source, self-hostable alternative with autonomous agent capabilities. Unlike Copilot or Cursor, it can be deployed on-premise, fine-tuned on your codebase, and ranks #1 on SWE-bench among open-source agents.

Refact AI supports multiple LLMs, including Qwen2.5-Coder for autocompletion and RAG-powered suggestions. Enterprise users can choose, swap, or fine-tune models to match their specific tech stack.

Yes. Individual developers can start using Refact AI for free directly in their IDE. Enterprise plans with additional features, fine-tuning capabilities, and dedicated support are available for teams.