HomeButler: Zero-token homelab management for OpenClaw agents

What HomeButler does
HomeButler is a skill for OpenClaw agents that enables homelab management through natural language commands. The tool requires no API keys or tokens and runs entirely locally, keeping all operations within your network.
Installation and technical details
Install the skill with one command:
clawhub install Higangssh/homebutlerThe tool is distributed as a single Go binary.
Available commands
Once installed, your OpenClaw agent can execute these homelab management tasks:
"Install uptime-kuma"→ deploys via docker compose"Status of all servers"→ performs multi-node check over SSH"Restart nginx"→ executes the restart command"Uninstall vaultwarden"→ stops the service while preserving data
Use case
This tool is for developers who maintain homelabs and want to manage infrastructure through their OpenClaw agent without exposing services to external APIs.
📖 Read the full source: r/openclaw
👀 See Also

Elodin Open-Sources AI Racing Harness with Real-Time Betaflight Simulation for AI Grand Prix Contestants
Elodin released an open-source simulation harness for the AI Grand Prix virtual qualifier, matching competition constraints and running against real Betaflight. The Rust/Bevy-based tool generates camera sensor samples directly in the loop, avoiding heavy game engine overhead.

Claude Code Undocumented Features: Hooks, Memory, YOLO Classifier & More
The Claude Code source reveals hidden configs: YOLO Classifier for auto-permission, hooks that rewrite commands, persistent agent memory, auto-mode rules in plain English, and dream loops.

Netflix Releases VOID: Video Object and Interaction Deletion Model on Hugging Face
Netflix has released VOID, a video inpainting model that removes objects from videos along with all physical interactions they induce, including falling objects and displaced items. The model requires a GPU with 40GB+ VRAM and uses quadmask conditioning with two checkpoint files for different refinement levels.

SigMap v8.9: Deterministic Context Layer Cuts Token Use 97% for AI Coding Agents
SigMap v8.9 achieves 97% token reduction, 88% hit@5 retrieval, and 49% fewer prompts per task. Works with Copilot, Claude Code, Cursor, Windsurf, Codex, OpenCode, Gemini CLI. Zero deps, fully offline.