About This Architecture

OpenClaw Agent Orchestration Architecture coordinates multi-agent task execution through a centralized control plane that manages workflow state, scheduling, and human approval gates. The Control Plane Layer runs the OpenClaw Workflow Engine alongside a Cron Scheduler and Task Analyzer to poll agent status, fetch logs, and analyze execution outcomes across running, done, failed, and waiting_input states. Agents execute tasks inside tmux sessions on the Execution Layer, producing logs and outputs that feed back to the workflow engine for monitoring and decision-making. Feishu integration enables real-time notifications and human approval workflows, allowing teams to intervene in long-running or uncertain tasks. Fork this diagram to customize agent types, add additional schedulers, or integrate alternative notification channels for your orchestration needs.

People also ask

How do you orchestrate and monitor multiple agents with centralized control, scheduling, and human approval gates?

OpenClaw Agent Orchestration uses a Control Plane Layer with a Workflow Engine, Cron Scheduler, and Task Analyzer to manage agent execution states and poll status. Agents run in tmux sessions on the Execution Layer, producing logs that feed back to the engine, while Feishu integration enables real-time notifications and human approval decisions.