How to Orchestrate a Fleet of OpenClaw Bots
| Source: Towards Data Science
Tags: OpenClaw, Claude Code, autonomous agents, agentic AI, workflow automation
A practical walkthrough of running multiple OpenClaw agents—persistent Claude Code-based bots operating 24/7 via Slack or Telegram—in parallel to handle proactive business tasks beyond on-demand coding sessions.
Details
This Towards Data Science article covers OpenClaw, a framework for deploying persistent AI coding agents that run continuously in cloud environments and respond to triggers via Slack or Telegram. Unlike Claude Code, which operates interactively on a local machine, OpenClaw agents run proactively using cron jobs and scheduling mechanisms. The article makes the case that fleet orchestration—running many agents simultaneously—unlocks non-coding use cases: customer success management, finance automation, and sales workflows. Key benefits cited are time savings and reduced cognitive load—not having to think about tasks at all. The article covers initial setup considerations and fleet orchestration strategies for running multiple agents simultaneously. No specific code repository or benchmark data is provided. The author positions OpenClaw as complementary to, not a replacement for, interactive coding agents like Claude Code.