Refact.ai
Refact.ai / refact.ai
Open source AI coding agent and IDE extension that can be self-hosted on your own infrastructure, providing code completion, chat, and autonomous coding agents with full data privacy.
Pricing
Free
Free plan
Yes
Category
Developer Tools
Platforms
3
Rating
4.4 (3000)
Free plan
Yes
API access
Yes
Open source
Yes
Platforms
3
Advertisement
What is Refact.ai?
Refact.ai is an open source AI coding assistant that differentiates from GitHub Copilot and Cursor by offering a self-hosted deployment option — companies can run Refact.ai's server on their own infrastructure, so all code remains within their own network without being sent to any external cloud service.
The self-hosted architecture is particularly valuable for organisations with strict data security requirements — government contractors, financial services firms, healthcare companies, and enterprises with proprietary code that cannot be sent to external AI APIs. With self-hosting, the AI model runs on the company's own GPU servers and code never leaves the internal network.
The code completion and chat capabilities are available as IDE extensions for VS Code and JetBrains, providing an experience similar to GitHub Copilot but backed by the self-hosted server. Multiple models are supported including Code Llama, StarCoder, and DeepSeek Coder, giving the administrator flexibility in choosing models based on their own capability and hardware requirements.
Refact Agent, the agentic coding feature, can use tools — running bash commands, reading files, executing tests — to complete multi-step coding tasks autonomously. This agentic capability in an open source self-hosted package makes Refact.ai notable for enterprises that want agentic AI without cloud dependency.
For teams that are not comfortable with code going to GitHub Copilot, Cursor, or other cloud AI services due to data policies, Refact.ai provides a credible open source alternative with active community development.
How Refact.ai works
Refact.ai runs as llm coding model software built around code and text workflows. Users typically start with a prompt, upload, or connected data source, and the underlying model handles the heavy lifting before returning a result you can refine or export. It's available on vs code, jetbrains, and cli, with API access for teams that want to embed it into their own products.
What makes it worth shortlisting
The capabilities that matter most for teams evaluating Refact.ai.
Self-hosted deployment
Server runs on customer's own infrastructure (on-premise or private cloud) so code never leaves the internal network, providing full data sovereignty for security-sensitive organisations.
Refact Agent
Agentic multi-step coding capability using tools including bash execution, file reading, and test running — autonomous coding tasks in a self-hosted package without cloud dependency.
Multiple model support
Configurable model backend supporting Code Llama, StarCoder2, DeepSeek Coder, and other models, allowing selection based on capability needs and available hardware.
Best use cases
Who should use it
Pros
- Self-hosted deployment keeps code within customer infrastructure — strongest data privacy among AI coding tools
- Open source model allows inspection and modification of the server code
- Multiple model support gives flexibility to choose based on capabilities and GPU hardware
- Agentic multi-step coding in a self-hosted package is unique in this space
Cons
- Self-hosting requires GPU hardware investment and IT operational overhead
- Model quality is competitive but below frontier models like Claude and GPT-4o on complex coding tasks
- Active development but smaller community than GitHub Copilot or Cursor ecosystems
Advertisement
Is it worth the price?
Free and open source self-hosted version. Refact.ai cloud pro plan $20/month. Enterprise on-premise custom pricing.
Model
Open Source
Starting price
Free
Free trial
No
Tools like Refact.ai
GitHub Copilot provides the strongest models but all code goes to Microsoft/GitHub. Cursor provides the best IDE experience but also requires cloud. Tabnine provides privacy-focused cloud coding AI with enterprise data controls. Continue.dev provides open source AI coding with BYO model.
Refact.ai vs Hugging Face
A side-by-side look at the closest alternative in this category.
Refact.ai
Refact.ai
Hugging Face
Hugging Face
Free and open source self-hosted version. Refact.ai cloud pro plan $20/month. Enterprise on-premise custom pricing.
Free for most models and Spaces. Pro $9/month for private models, priority inference, and ZeroGPU. Enterprise Hub from $20/user/month for team collaboration and security.
Self-hosted: data never leaves customer's infrastructure. Cloud version: review Refact.ai privacy policy. Enterprise includes data handling agreements.
Enterprise Hub includes SSO, access controls, audit logs, and private infrastructure. SOC 2 compliant.
Self-hosted deployment keeps all code within customer's own infrastructure. Cloud service processes code on Refact.ai's servers — review privacy policy for cloud version use.
Public models and datasets are openly accessible. Enterprise Hub provides private model storage with data handling agreements. Review individual model licences before commercial deployment.
- Self-hosted deployment keeps code within customer infrastructure — strongest data privacy among AI coding tools
- Open source model allows inspection and modification of the server code
- Multiple model support gives flexibility to choose based on capabilities and GPU hardware
- Agentic multi-step coding in a self-hosted package is unique in this space
- De facto standard hub for open source AI models with 500,000+ available
- Transformers library provides consistent API for diverse model families
- Spaces enable easy demo deployment without web infrastructure
- Free for public models and strong community support
- Self-hosting requires GPU hardware investment and IT operational overhead
- Model quality is competitive but below frontier models like Claude and GPT-4o on complex coding tasks
- Active development but smaller community than GitHub Copilot or Cursor ecosystems
- Technical platform primarily for developers and researchers
- Inference API quality varies for very large or complex models
- Navigation complexity increases with scale of the platform
Technical & deployment info
Key facts about model providers, platforms, and team support.
Model Provider
Open Source (Code Llama, StarCoder, DeepSeek Coder)
Models
Code Llama, StarCoder2, DeepSeek Coder
Platforms
VS Code, JetBrains, CLI
Deployment
Self-hosted, SaaS
Integrations
GitHub, GitLab, Docker, Kubernetes, API
Team Collaboration
No
Launch Year
2023
Security & privacy
Compliance signals and data-handling notes as reported by the vendor.
Self-hosted: data never leaves customer's infrastructure. Cloud version: review Refact.ai privacy policy. Enterprise includes data handling agreements.
Self-hosted deployment keeps all code within customer's own infrastructure. Cloud service processes code on Refact.ai's servers — review privacy policy for cloud version use.
What users are saying
Verified reviews from signed-in users, stored in the backend and averaged into this tool's rating.
Sign in to rate Refact.ai and leave a review.
No other reviews yet — be the first to share how this tool performs in practice.
Common questions about Refact.ai
Editorial Verdict
Should you use Refact.ai?
Refact.ai is the best AI coding tool for organisations with strict data security requirements who need on-premise or air-gapped AI coding assistance where code cannot be sent to external cloud services.
Last verified July 24, 2026.