Kodo is an open-source AI agent harness and execution orchestrator developed by Ilya Kamenshchikov (ikamensh). It is built to execute, test, and benchmark multi-step automated coding workflows across diverse large language model backends. Kodo operates primarily through CLI-driven iteration pipelines and Python-based execution harnesses. It interfaces with frontier language models to execute code modifications, run smoke tests, and evaluate generated solutions against structured acceptance criteria. What distinguishes Kodo from conventional single-turn CLI coding agents is its focus on formal iteration cycles, testability policies, and comparative model benchmarking. The framework treats coding tasks as reproducible test-driven loops rather than ad-hoc chat sessions. Kodo is an open-source project hosted on GitHub under active development with public acceptance suites and iteration specifications.
Tags: agent harness, ai agent, cli, code assistant, coding agent, OpenSource