Klaw.sh – Kubernetes for AI agents
Hi everyone, I run a generative AI infra company, unified API for 600+ models. Our team started deploying AI agents for our marketing and lead gen ops: content, engagement, analytics across multiple X accounts. OpenClaw worked fine for single agents. But at ~14 agents across 6 accounts, the problem shifted from "how do I build agents" to "how do I manage them." Deployment, monitoring, team isolation, figuring out which agent broke what at 3am. Classic orchestration problem. So I built klaw, modeled on Kubernetes: Clusters — isolated environments per org/project Namespaces — team-level…
Klaw.sh – Kubernetes for AI agents launched on February 15, 2026 with 60 votes, #560 of 16,628 launches that month and more than 95% of that year's launches.
In plain words
Klaw.sh is an orchestration platform for managing multiple AI agents across different teams and communication channels. Built on Kubernetes principles, it provides isolated environments (clusters and namespaces), deployment tools, and monitoring capabilities for teams running agents at scale. The platform includes a skills marketplace for reusable agent capabilities and supports integration with Slack, X, and Discord. It targets organizations managing numerous AI agents across multiple accounts who need centralized management and team-level isolation.
written from the facts on this page · September 2026
From the sources
kubectl for AI Agents. Contribute to klawsh/klaw.sh development by creating an account on GitHub.
In the maker’s words, at launch
Hi everyone, I run a generative AI infra company, unified API for 600+ models. Our team started deploying AI agents for our marketing and lead gen ops: content, engagement, analytics across multiple X accounts. OpenClaw worked fine for single agents. But at ~14 agents across 6 accounts, the problem shifted from "how…
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