A team of developers has released Clawe, an open-source coordination layer for managing multi-agent workflows built on top of OpenClaw. The tool transforms how teams operate AI agents by providing a visual dashboard where agents can run, pause, retry, and hand off tasks to humans at specific points. Rather than treating agents as simple cron jobs with opaque terminal output, Clawe treats them as long-lived workers with explicit state and responsibilities.

Originally created to solve the team's own documentation automation challenges, Clawe has evolved into a full multi-agent system with four pre-configured agents including a squad lead, content editor, designer, and SEO specialist. The system uses Docker Compose for deployment and Convex as its backend, offering features like kanban-style task management, instant notifications, and agent collaboration through shared files. Each agent operates on a staggered heartbeat schedule to avoid rate limits while maintaining near real-time coordination.

The project shows particular promise for content review and maintenance workflows in marketing teams, where visibility into agent progress and the ability to intervene at key points proves valuable. With 27 stars on GitHub and growing interest from the developer community, Clawe represents an emerging approach to making AI agent operations more transparent and manageable.