Potato is a free, open-source platform for annotating text, images, audio, and AI agent traces. It supports over 30 annotation types, AI-assisted labeling, agent evaluation, and active learning. Designed for researchers, it offers a web UI, CLI, and API for flexible deployment.
Potato sits in PulseGate's LLM eval & observability category. It focuses on streamlining the annotation and evaluation of data for NLP, vision, audio, and AI agent research. It is built as an open-source project for AI researchers. Potato is open source under the GPL-3.0 license. The product ships for the web, the command line, and API, and it can be self-hosted.
Behind Potato is University of Michigan, and the product first shipped in 2020. Development happens publicly on GitHub with 387 stars and 169 commits in the last 90 days. Key capabilities include data annotation, AI-assisted labeling, and agent evaluation. The interface is available in 11 languages, including Arabic, German, and English. It exposes integrations via a public API.
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