KADATH (Kernel for Agentic Darwinian Adaptation, Tooling, and Heredity) is an evolutionary multi-agent runtime developed by i3t4an. It evolves populations of complete agents across reproducible epochs: an Architect turns a goal into a measurable benchmark, organisms attempt the goal, an independent Grader scores their evidence, and selection, mutation, reproduction, and replacement produce later generations. Each evolvable genome includes an agent's system prompt, Python implementation, tools, dependency declarations, and supporting files, rather than only a prompt or response. The kernel keeps the objective, benchmark, scoring, scheduler, lineage, database, deadlines, containers, and isolation rules outside the genome; agents can change only during the post-grade mutation phase. The interactive runtime asks for an OpenAI API key and model ID, then collects the goal, epoch duration, population size, and epoch count. Its local runtime prepares Docker-based PostgreSQL, MinIO, LiteLLM, and SearXNG services.