Refact.ai
Open-source AI coding agent — self-hosted, fine-tuned on your codebase, #1 SWE-bench
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About Refact.ai
Refact.ai is an open-source AI coding assistant and autonomous agent platform, launched in March 2023 and built for developers who need privacy, self-hosting flexibility, and enterprise-grade control. Available as a VS Code extension, JetBrains plugin, and integrations for Neovim, Sublime Text, and Visual Studio, Refact.ai supports 25+ programming languages and three deployment modes: cloud SaaS (managed), self-hosted (your own hardware or cloud), and AWS-managed (including AWS Inferentia2 for 1.5x price-performance vs standard GPU instances). Refact.ai was the first AI coding assistant to run on AWS Inferentia2.
The platform combines AI code completion with an autonomous AI Agent capable of completing end-to-end development tasks: planning, implementing, testing, and debugging across multiple files without human handholding. Refact.ai claimed the #1 ranking on SWE-bench Lite for open-source AI coding agents as of early 2026. Its self-hosted path supports any open-source LLM (Code Llama, StarCoder, DeepSeek, Llama) or closed-source model (GPT-4, Claude), with all code remaining on the organization's infrastructure. Fine-tuning on private codebases enables personalized completion models with reported ~45% code acceptance rates. MCP server integration extends the agent to external tools and databases.
Refact.ai's pricing is developer-friendly: a free plan with 2,000 agent/chat coins per month and no credit card required, a Pro plan at $10/month ($8 annually), and custom Enterprise pricing for self-hosted and AWS deployments with dedicated support. The project is open source with an active Discord community and regular changelogs showing fast iteration — MCP integration, Claude 3.7 Sonnet support, and model updates all shipped within the past year.
Key Features
- Open-source AI coding agent — #1 on SWE-bench for open-source agents with autonomous end-to-end task completion
- AI code completion with proprietary fine-tuned models — fast, accurate autocomplete with context-aware suggestions in 25+ languages
- Self-hosted deployment — run on your own hardware, cloud VPC, or AWS (including Inferentia2 for 1.5x price-performance vs standard GPU)
- Fine-tuning on private codebase — personalize code completion models on your team's actual code for higher acceptance rates (reported ~45%)
- Context-aware AI chat — understand and explain code, refactor, generate documentation, find bugs, and answer questions with full project context
- MCP server integration — connect the AI Agent to external tools, databases, APIs, and services via Model Context Protocol
- Code access restrictions — restrict agent access to specific files or projects, ensuring private or confidential code is protected at the file level
- Multi-IDE support — VS Code, all JetBrains IDEs, Neovim (beta), Sublime Text (beta), Visual Studio (beta) and AWS Inferentia2 enterprise deployment
Pros
- #1 on SWE-bench Lite for open-source AI coding agents — independently validated autonomous task completion performance
- Self-hosted on any hardware including AWS Inferentia2 — first AI coding assistant on Inferentia2 with 1.5x price-performance vs GPU
- Fine-tuning on private codebase delivers ~45% code acceptance rate — significantly higher than generic completions
- Open source with full transparency — audit the model, the agent code, and the inference pipeline
- Supports both open-source LLMs (Code Llama, DeepSeek, Llama) and closed-source models (GPT-4, Claude) in self-hosted mode
- Free plan with 2,000 coins/month and no credit card — genuinely usable for individual developers and evaluation
Cons
- Smaller community and brand recognition than GitHub Copilot, Cursor, or Codeium
- Self-hosted deployment requires GPU hardware and technical infrastructure setup — not trivial for smaller teams
- Agent mode still maturing compared to more established alternatives like Cursor or Cline
- Cloud-hosted tier is newer and has fewer enterprise features than established alternatives like Tabnine or Augment Code
- Visual Studio extension is in beta — not as polished as the VS Code and JetBrains plugins
- Fine-tuning pipeline requires dedicated setup and data preparation — significant upfront investment for enterprise customization
Pricing
Refact.ai is free to start with 2,000 agent/chat coins per month — no credit card required. This covers basic AI Agent and chat usage with access to the platform's full feature set within the monthly quota.
Pro costs $10/month (or $8/month billed annually) and provides a higher coin allocation for developers who use the AI Agent and chat heavily on a daily basis.
Enterprise pricing is custom and covers three deployment models: self-hosted on your own GPU infrastructure (any hardware you own or rent), AWS-managed (including AWS Inferentia2 for 1.5x price-performance), and VPC/cloud-managed SaaS. Enterprise adds dedicated engineer support, fine-tuning on your private codebase, code access restriction controls, team management dashboard, and SLA guarantees. Contact hello@refact.ai for enterprise pricing.
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Frequently Asked Questions
Refact.ai is an open-source AI coding assistant and agent for VS Code, JetBrains, Neovim, and Visual Studio. It supports 25+ programming languages and offers AI code completion, refactoring, context-aware chat, and an autonomous AI Agent capable of completing end-to-end development tasks. It can be deployed in three modes: as a cloud SaaS, self-hosted on your own infrastructure, or on AWS. Refact.ai claims the #1 ranking on SWE-bench among open-source AI coding agents.
Yes. Refact.ai has a free plan with 2,000 agent/chat coins per month and full access to its AI Agent and chat capabilities. No credit card is required. The Pro plan adds more coins for $10/month (or $8/month annually). Enterprise pricing is custom with dedicated support.
Self-hosted Refact lets you run the entire Refact infrastructure on your own hardware or cloud. You can connect any open-source LLM (Code Llama, StarCoder, DeepSeek, Llama) or closed-source model (GPT-4, Claude) for inference. All code stays on your infrastructure with no external data transmission. A web UI makes configuration and model management straightforward. Refact.ai runs on AWS Inferentia2 for cost-efficient enterprise deployment.
Refact.ai claimed the #1 ranking on the SWE-bench Lite leaderboard for open-source AI coding agents (as of early 2026). SWE-bench measures an agent's ability to resolve real GitHub issues from popular open-source repositories.
Refact.ai supports VS Code, all JetBrains IDEs (IntelliJ IDEA, PyCharm, WebStorm, GoLand, CLion), Neovim (beta), Sublime Text (beta), and Visual Studio (beta). On the enterprise self-hosted path, it also integrates with any code editor that supports Language Server Protocol or a custom API.
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