Refrax
Refrax is a free, AI-powered tool for refactoring Java code, built in Go.
What Refrax is
Refrax is a free, AI-powered tool for refactoring Java code, built in Go. It turns broad code-polishing requests into smaller tasks for agents such as a critic, reviewer and editor, then runs those tasks autonomously. The agents connect multiple language models through the A2A protocol. The project lists DeepSeek and OpenAI as supported providers, and a listed release adds custom providers by URL. Pre-built binaries are available for Linux, macOS and Windows; building from source requires Go 1.24.1 or later. Some operations need an AI provider API token, supplied by command-line flag, environment variable or a .env file. Refrax does not inherently confirm that its changes are correct or issue-free. Users can configure reviewer checks, such as Maven tests, to run and report feedback. The command can display interaction statistics or export them to CSV. Refrax is MIT-licensed, and its README describes it as an early prototype subject to rapid change.
Good
- Free and MIT-licensed.
- Pre-built binaries for Linux, macOS and Windows.
- Supports DeepSeek and OpenAI providers.
- Reviewer checks can run configured commands.
- Exports interaction statistics as CSV.
Watch out
- Early prototype subject to rapid change.
- Does not inherently verify changes are correct.
- Some operations require an AI provider token.
- Source installation requires Go 1.24.1 or later.
Who it suits
Refrax may suit developers working on Java code who want an autonomous, multi-agent refactoring workflow. It is a prototype, so users should be prepared to configure checks and assess proposed changes themselves.
Verdict
Refrax offers an autonomous agent workflow for Java refactoring across desktop operating systems, with configurable review commands. Its prototype status and lack of inherent correctness verification make independent checks important.
The facts
Each one read from Refrax's own pages, with the date it was checked.
What it does
- Agent protocol
- Refrax integrates multiple language models that communicate using the A2A protocol.checked 3 Oct 2026
- AI providers
- The README lists DeepSeek and OpenAI as supported providers; the latest listed release also adds custom providers by URL.checked 3 Oct 2026
- Authentication
- Some operations require an AI provider API token, which can be supplied with a command-line flag, environment variable, or .env file.checked 3 Oct 2026
- Autonomy
- The README says Refrax can run autonomously for minutes or hours after it is started.checked 3 Oct 2026
- Installation
- The project offers prebuilt binaries for macOS, Windows, and Linux, and source installation requires Go 1.24.1 or later.checked 3 Oct 2026
- License
- The repository states that Refrax is licensed under the MIT License.checked 2 Oct 2026
- License and maturity
- The repository is MIT-licensed and labels Refrax an early prototype subject to rapid change.checked 3 Oct 2026
- Maturity
- The README describes Refrax as an early prototype subject to rapid change.checked 2 Oct 2026
- Protocol
- Refrax connects multiple large language models using the A2A protocol.checked 2 Oct 2026
- Providers
- The README lists DeepSeek and OpenAI as supported AI providers.checked 2 Oct 2026
- Purpose
- Refrax is an AI-powered agent for refactoring Java code, implemented in Go.checked 3 Oct 2026
- Results limitation
- Refrax does not inherently verify that its applied changes are correct or cause no issues.checked 3 Oct 2026
- Reviewer checks
- Users can pass one or more commands with --check for the reviewer agent to run and report feedback to the facilitator.checked 3 Oct 2026
- Statistics
- The refactor command can export interaction statistics in CSV format or print them to the console.checked 2 Oct 2026
- Usage statistics
- The CLI can output interaction statistics to the console or to a CSV file.checked 3 Oct 2026
- Validation
- Refrax does not inherently verify whether changes are correct; users can configure reviewer checks with commands such as Maven tests.checked 2 Oct 2026
- Workflow
- It breaks larger code-polishing requests into smaller tasks for agents such as a critic, reviewer, editor, and facilitator.checked 3 Oct 2026
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