Refact.ai

Open-source autonomous AI coding agent that runs end-to-end tasks in your IDE

Hand-reviewed by the Toolglade team·Updated Aug 2026

coding#ai-coding-agent#open-source#self-hosted#ide

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About Refact.ai

Refact.ai is an open-source, self-hostable autonomous AI coding agent for VS Code and JetBrains that plans, executes, and iterates on engineering tasks, with strong open-source SWE-bench results and bring-your-own-key model support.

Refact.ai, built by Small Magellanic Cloud (smallcloudai), is an autonomous AI coding agent that integrates with developer tools, plans a task, executes it, and iterates until it reaches a working result. Beyond inline completion it offers agentic workflows, refactoring, and in-IDE chat across VS Code and JetBrains, and it consistently places among the strongest open-source agents on SWE-bench Verified. The core engine is open source under a permissive license, which is a major differentiator from closed competitors. A defining feature is deployment flexibility: developers can use the hosted cloud, bring their own keys for providers like OpenAI, Anthropic, Gemini, DeepSeek, Groq, and xAI, or self-host the entire agent on-premise for maximum security. It integrates with GitHub, PostgreSQL, Docker, and other developer tooling, and supports more than 25 languages. This makes Refact.ai a practical choice for privacy-sensitive engineering teams that want an autonomous agent without sending code to a third party.

TL;DR

Refact.ai is an open-source, self-hostable autonomous AI coding agent that ranks among the best open-source tools on SWE-bench Verified, with BYOK model support and on-premise deployment.

Company overview

Refact.ai is developed by Small Magellanic Cloud (smallcloudai), a company focused on AI-assisted software engineering. Its flagship product is an open-source coding agent distributed on GitHub and through the VS Code and JetBrains marketplaces.

The company differentiates on openness and privacy, offering both a hosted cloud and a self-hosted enterprise edition. This positions Refact.ai against closed competitors like Cursor and GitHub Copilot by appealing to teams that need to keep code and inference in-house.

Product features

Refact.ai provides autonomous agentic coding, context-aware completion, refactoring, and in-IDE chat. The agent can plan multi-step tasks, edit multiple files, run commands, and iterate until a task succeeds, integrating with GitHub, PostgreSQL, and Docker.

Model flexibility is central: users can bring their own keys for major providers or configure local models. The self-hosted option gives full data control, and support for 25+ languages makes it broadly applicable across stacks.

Target market

The primary market is professional software teams, particularly privacy-sensitive organizations and open-source-minded developers who want an autonomous coding agent they can inspect and run on their own infrastructure.