Run Multiple OpenClaw AI Agents with Elastic Scaling and Safe Defaults — without Managing Infrastructure

OpenClaw has quickly become a popular open-source framework for building personal AI assistants connected to services as well as messaging platforms such as Telegram, WhatsApp, Discord, and Slack. As more developers move from local experiments to always-on assistants, the challenge shifts from building an agent to operating one reliably over time, often across multiple agents handling different workstreams. Once an assistant is running continuously, handling real traffic, and coordinating tools or APIs, new questions surface quickly: How do you keep it running without constantly managing…