@kahliburke2Zemi is a knowledge base for a research group, written in Julia. It reads the papers a group works from, makes them searchable by meaning, gives people and AI agents the same project boards to work on, and much more. Over time the site becomes a rich repository for a research group to draw from, and it helps the team to learn, communicate, organize, and innovate.
@kahliburke2KaimonSlate.jl
Reactive Julia notebooks, without a ceiling
A reactive notebook built for ambitious work — distributed compute across a mesh of machines, agentic AI from day one, high-throughput low-latency output in the browser, an extension system that integrates anything, and beautiful rendering, publishing, and standalone exports.
Kahli Burke is a Research Scientist at UW Madison, a public research university, where the work centers on creating AI capabilities in the Julia ecosystem. Kahli holds a doctorate in physics, and earlier research modeled light in chaotic optical microcavities. Kahli is now focused on giving AI agents direct, live access to Julia sessions through Kaimon.jl, a server for code execution, debugging, testing, and semantic search.
