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Clawbernetes

Replace kubectl with conversation (Rust)

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Clawbernetes turns OpenClaw into an AI-native infrastructure manager. Instead of YAML, Helm charts, and kubectl — you have a conversation."Deploy Llama 70B on the node with the most VRAM" → agent selects the best node, pulls the image, starts the container with GPU passthrough, sets up health monitoring."Why is inference slow?" → checks GPU temps, VRAM, CPU load. "GPU 0 at 89°C — thermal throttling. Want me to reduce batch size?"23 crates, 74K lines of Rust, 1,866 tests, zero unsafe in core. Supports CUDA, Metal, ROCm, Vulkan, and CPU SIMD.Components: - clawnode: node agent with 80+ commands (deploy, secrets, autoscale, networking, jobs, metrics) - 14 skills that teach the AI agent infrastructure ops - Fleet plugin for multi-node orchestration - MOLT: P2P GPU compute marketplace (Solana SPL)MIT licensed.https://clawbernetes.com https://github.com/clawbernetes/clawbernetes

HN · launched Feb 20, 2026 · 5 upvotes (top 89%) · 0 views

Niche: ai devops and codebase management tools · 140 launches, 4 in the last 7 days ▼ -20% · Explore this niche →

Category and tags

  • Horizontal
  • Dev tools
  • Developer
  • AI-native
  • Hobby / open-source project

Visit website ↗ Source listing ↗

Could you build this?

Partial An LLM tool-calling wrapper around Kubernetes client libraries is approachable, but reliably orchestrating complex cluster operations like hardware discovery, dynamic GPU passthrough, and failsafe execution requires deep systems knowledge.

What it would actually take: A production version requires a Rust daemon interacting with kube-rs / the Kubernetes API, NVIDIA device plugin APIs, and Helm/container runtimes. The hard part is building deterministic safety guards, state reconciliation, and edge-case handling so an agent doesn't corrupt cluster state or misconfigure node hardware. Expert Kubernetes systems engineering and strict deterministic tool-verification layers are required.

Discussion

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Competitors

Other products that read as similar to this one : 583 launches clear the similarity bar, closest 8 shown.

Attention rank: #541 of 584 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 114 days after the earliest competitor.

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