kipimo provides a model-agnostic evaluation suite for AI agents, focusing on Swahili-language tasks relevant to East Africa. It includes 46 tasks such as server routing and term grounding, enabling researchers and developers to benchmark agent performance in regional contexts.
kipimo is a LLM eval & observability project. It focuses on evaluating and benchmarking AI agent tasks in Swahili for East African coordination stacks. It is built as an open-source project for AI researchers and developers working with Swahili or East African agent systems. The project is open source (MIT). kipimo is available on the command line.
It is developed by Gabriel Mahia, and it first shipped in 2026. The project is developed in the open on GitHub with 6 commits in the last 90 days. Among its 5 catalogued features are task evaluation, swahili support, and benchmark suite.
Summary written by a language model from the project’s public pages.
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