Karotte

Karotte is an open-source framework for building reinforcement learning environments to train AI models.

Karotte is an open-source framework created by Preference Model for building reinforcement learning environments. It allows developers to create environments from templates, run tasks, and output transcripts to JSON files. The framework relies on Python 3.12+ and uv, running runs in virtual machines by default using Apple container on macOS or Firecracker on Linux, with Docker and Podman also supported. It includes a dashboard to view transcripts and is available under the MIT license. The tool targets developers building environments to train aligned AI models.

Karotte at a glance

Best for: Software engineer, Researcher
Runs on: macOS, Linux, self-hosted, open source
Pricing: Free
Released: October 2026
Category: AI research tool
Website: github.com/preferencemodel/karotte

Key features

Build reinforcement learning environments
Run tasks inside isolated virtual machines
Support for Apple container and Firecracker
Support for Docker and Podman runtimes
Generate environment transcripts in JSON
View transcripts with the built-in dashboard
Create environments from default templates

Use it for

Build reinforcement learning environments
Run and test AI training tasks
Generate execution transcripts for analysis

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