Ralph-Workflow is an open-source agent workflow harness and skill orchestration framework designed to standardize and automate software development cycles across AI coding agents. Maintained by the Ralph Workflow organization, the tool structures agent behavior using modular skill bundles, development plans, and structured artifact submission pipelines. Operating primarily through CLI tooling and specialized agent skill directories (supporting configurations across environments like Claude Code and OpenAI Codex), Ralph-Workflow manages end-to-end task flows. Day-to-day use involves assigning tasks to agents that follow explicit protocols for brainstorming, test-driven development (TDD), plan execution, code review requests, and Git worktree isolation. What sets Ralph-Workflow apart from standard interactive agent harnesses is its heavy emphasis on subagent-driven development, parallel agent dispatching, and rigid verification loops. Rather than treating an agent as a simple chat interface, it enforces repeatable software engineering rituals including structured commit cleanup, baseline UI checks, security reviews, and artifact verification. Ralph-Workflow is an open-source project hosted on GitHub, utilizing local workspace configurations and standardized `.agents/skills` trees to manage agent permissions and workflows.
Tags: agent harness, ai agent, cli, coding agent, developer tools, OpenSource