Snowl is an open-source framework for evaluating AI agents, supporting various evaluation tasks and extensibility. It is designed for developers and researchers who need to assess agent performance in different scenarios. Available as a CLI tool and library.
In the LLM eval & observability space, Snowl takes a focused approach. It focuses on providing a framework for evaluating AI agents' performance and behaviors. It is built as an open-source project for AI researchers and developers. Snowl is open source under the MIT license. The product ships for the web and the command line, and it can be self-hosted.
Behind Snowl is Qitor, and the product first shipped in 2026. Development happens publicly on GitHub with 12 stars and 47 commits in the last 90 days. PulseGate's similarity index finds few close equivalents — Snowl occupies a relatively distinct niche. Key capabilities include agent evaluation, framework, and CLI tool.
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