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

Run Multiple OpenClaw AI Agents with Elastic Scaling and Safe Defaults — without Managing Infrastructure OpenClaw on App Platform: Built for always-on, multi-agent AI systems Simpler operations, without giving up control Elastic scaling from one agent to many Scale with predictable costs Private AI assistants with security-hardened defaults Deployment modes Get started Not Sure Which OpenClaw Deployment Is Right for You? Additional resources: About the author Related Articles Introducing OpenClaw on DigitalOcean: One-Click Deploy, Security-hardened, Production-Ready Agentic AI Introducing Multiple Registry Support on DigitalOcean Container Registry Powering the Next Leap in AI: GPU Droplets accelerated by NVIDIA HGX™ B300 are coming soon to DigitalOcean By DigitalOcean Updated: February 5, 2026 5 min read 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 servers? How do you scale from one assistant to multiple agents without re-architecting? How do you apply security and access controls you can trust by default? How do you grow usage without turning operations into a second job? How do you scale agents without losing visibility or predictability into costs? Today, we’re launching OpenClaw on DigitalOcean App Platform to answer these questions. It is designed for this stage—helping teams move from proof of concept to sustained production operation with elastic scaling, safe defaults, and simpler day-to-day operations. Further, OpenClaw on App Platform brings cost predictability to always-on AI systems. Instead of variable, request-driven pricing that can spike unexpectedly as usage grows, App Platform uses clear, instance-based pricing. Teams can understand how costs change as they add agents or increase capacity without surprises. As OpenClaw usage grows, developers naturally reach different stages of operation. Some teams want a fast, VM-based deployment with full system control. That’s exactly what the 1-Click Deploy OpenClaw on a DigitalOcean Droplet® server provides: a secure, hardened environment where you own the virtual machine and manage the underlying infrastructure directly. Other teams reach a point where infrastructure ownership becomes unnecessary overhead. Their assistants are always on, updates are frequent, and usage is growing from one agent to many.