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Show HN: 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 isolation (marketing, sales, support)
Channels — connect agents to Slack, X, Discord
Skills — reusable agent capabilities via a marketplace
CLI works like kubectl:
klaw create cluster mycompany
klaw create namespace marketing
klaw deploy agent.yaml
I also rewrote from Node.js to Go — agents went from 800MB+ to under 10MB each.
Quick usage example: I run a "content cluster" where each X account is its own namespace. Agent misbehaving on one account can't affect others. Adding a new account is klaw create namespace [account] + deploy the same config. 30 seconds.
The key differentiator vs frameworks like CrewAI or LangGraph: those define how agents collaborate on tasks. klaw operates one layer above — managing fleets of agents across teams with isolation and operational tooling. You could run CrewAI agents inside klaw namespaces.
Happy to answer questions.
Comments URL: https://news.ycombinator.com/item?id=47025478
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