OpenClaw Kubernetes Operator with Embedded Ollama Support

OpenClaw Kubernetes Operator with Embedded Ollama
A community member has created an OpenClaw Kubernetes operator that addresses missing functionality like internal binaries and Ollama integration. The operator enables running Ollama as a pod in the same shared namespace at <ollama-svc>:11434, which the creator found helpful when using Ollama cloud for agents.
Setup Instructions
To try this setup, you need a Kubernetes cluster (can be created with kind/minikube). From the cloned repository:
- Install the operator:
kubectl apply -f dist/install.yaml - Check installation in the
openclaw-operator-systemnamespace - Install the agent manifest:
kubectl apply -f config/samples/openclaw_v1alpha1_openclawinstance.yaml - Wait for everything to run, then do the first onboard:
kubectl exec -it my-agent-0 -c cli -- openclaw onboard
Ollama Configuration
Ollama runs as a separate StatefulSet. The gateway is pre-configured to communicate with it at my-agent-ollama:11434. For cloud version usage:
- Sign in:
kubectl exec -it my-agent-ollama-0 -- ollama signin - Pull a cloud model:
kubectl exec -it my-agent-ollama-0 -- ollama pull minimax-m2.7:cloud
Dashboard Access
To access the dashboard locally:
- Port-forward the gateway service:
kubectl port-forward svc/my-agent 18789:18789 - Get the authentication token from the CLI sidecar:
kubectl exec -it my-agent-0 -c cli -- openclaw dashboard - This prints a URL with token (format:
...localhost:18789/dashboard?token=...) that you can access
The creator describes this as a project for practicing Kubernetes operators, based on past knowledge and practices. They note there's room for improvement and are seeking DevOps or Kubernetes contributors for maintenance.
📖 Read the full source: r/openclaw
👀 See Also

civStation: Open-Source VLM Harness for Natural Language Control of Civilization VI
civStation is an open-source computer-use stack that enables voice and natural language control of Civilization VI, translating high-level strategy commands into UI actions through a VLM-based observation and execution loop.

claude-powerline v1.20 adds TUI dashboard mode, context bar styles, and environment variable display
claude-powerline v1.20 introduces a TUI dashboard mode that replaces the single statusline with a full panel showing model info, context usage with progress bar, costs, git status, and more. The update adds 9 visual progress bar styles for context usage and environment variable display capability.

Benchmark: MLX vs Ollama Running Qwen3-Coder-Next 8-Bit on M5 Max MacBook Pro
A benchmark comparing MLX and Ollama backends running Qwen3-Coder-Next 8-bit quantization on an M5 Max MacBook Pro with 128GB RAM shows MLX achieving approximately 72 tokens per second, roughly double Ollama's throughput across various coding tasks.

Meera: A Fully Offline AI Assistant for Linux Gnome Built on Qwen3.5-2B
Meera is an offline AI assistant for Gnome Desktop that uses Qwen3.5-2B-Q4_K_M (1.2 GB) and llama-cpp with Vulkan support. It leverages a second tiny embedding model for tool selection and RAG, avoiding prompt embedding bloat. Works on Ubuntu 24.04 with RTX 5090 and Fedora Silverblue on Intel i3.