• Run Multiple OpenClaw AI Agents with Elastic Scaling and Safe Defaults - without Managing Infrastructure ByDigitalOcean Updated:February 5, 2026 5 min read OpenClawhas 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 frombuildingan 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?
Article Summaries:
- DigitalOcean has released a managed deployment option for its open‑source AI‑assistant framework, OpenClaw, on the App Platform. The new offering lets teams run multiple, always‑on agents-such as personal assistants on Telegram, WhatsApp, Discord, or Slack-without managing underlying infrastructure. It provides elastic scaling, predictable instance‑based pricing, and safe defaults that keep agents private, isolated, and stateful. Developers can focus on agent behavior, model choice, and channel configuration while the platform handles updates, scaling, and cost control. A separate 1‑click Droplet deployment remains available for teams that prefer full VM control.
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