Parallel AI Agents
Multiple agents. Many ideas. Only better code survives.
GradeX runs parallel AI agents on your codebase, measures what matters, and keeps only the changes that improve your metrics.
Multiple agents. Many ideas. Only better code survives.
Benchmarks, tests, and custom metrics you define.
Built-in gates ensure quality, correctness, and reliability.
Set up benchmarks, tests, or any metric. GradeX optimizes against numbers, not guesses.
Agents make many small changes in parallel using isolated git worktrees.
Only changes that beat your baseline and pass your gates are kept.
GradeX supports hosted and local providers, with Groq as the recommended free cloud option.
Use llama-3.3-70b-versatile with a free API key from console.groq.com.
Run Claude models for deeper code reasoning and large refactors.
Use GPT models through the standard OpenAI-compatible provider path.
Run fully local models with no account, no cloud calls, and no API bill.
Installs project rules into .cursor/rules/ so agents know how to run GradeX.
Installs native skill files for discover and optimize workflows.
Everything also works directly from the terminal without an agent host.
No waitlist, no hosted platform required. Install GradeX from PyPI and run it locally.
Get started in minutes. No credit card required.