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Clawbernetes

Replace kubectl with conversation (Rust)

Details

External ID
47088003
Source
HN
Company
—
Product
Clawbernetes
Website domain
github.com
Launched
Feb. 20, 2026
Cohort
—
Upvotes
5
Upvotes percentile
0.10512129380053908
Tags
—
Fetched at
Sept. 7, 2026, 9:25 p.m.
Updated at
Sept. 7, 2026, 9:25 p.m.

Description

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

Enrichment

Theme
lightweight and on-device AI runtimes
Vertical
Horizontal
Function
Agent / copilot
Audience
Developer
AI stance
AI-native
Project type
Commercial product
Normalized one-liner
conversational kubernetes management
Manually corrected
False

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

No comments on this launch.

Competitors

Other products that read as similar to this one — 238 launches clear the similarity bar, closest 8 shown.

Attention rank: #226 of 239 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 107 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a agent / copilot tool for Agriculture yet.