Homebutler: OpenClaw Skill for Homelab Management via Telegram
Homebutler is a Go binary that functions as an OpenClaw skill, allowing developers to manage homelab infrastructure directly from Telegram chat. The tool addresses the pain point of needing multiple SSH sessions for maintenance, particularly during off-hours.
Key Features
- System monitoring: CPU, memory, disk usage, and uptime tracking
- Docker management: List containers, restart, stop, and view logs
- Multi-server SSH with parallel execution capability
- Wake-on-LAN functionality
- Port scanner and network scanning
- Threshold-based alerts for resource spikes
- Web dashboard accessible via
homebutler serve - MCP server compatibility for Claude, ChatGPT, and Cursor
Setup and Usage
Installation requires a single command: clawhub install homeserver. Once installed, the claw can execute commands through natural language in Telegram.
Example interaction from the source:
🚨 Alert: CPU at 92% on nas-box Me: "What's eating CPU?" Claw: postgres — 85.2% Me: "Restart postgres" Claw: ✅ Done. CPU 92% → 12%
The tool is designed for developers running homelabs with multiple devices (Mac Mini, Raspberry Pi, NAS) who want to reduce operational overhead.
📖 Read the full source: r/openclaw
👀 See Also
Comparing OpenClaw and Claude Cowork: Local Automation vs Sandboxed Workflows
OpenClaw is an always-on local agent that runs on your machine with shell command execution and browser automation, while Claude Cowork operates within Claude Desktop in a sandboxed environment focused on document and browser tasks.
Sovr MCP Proxy adds safety layer to prevent LLM destructive commands
A developer built sovr-mcp-proxy after a local LLM nearly executed rm -rf on their home folder. The tool intercepts commands before execution and blocks destructive patterns including rm -rf, DROP TABLE, curl | sh, and chmod 777.
htmLLM-124M v2 Released: Specialized HTML/Bootstrap Autocomplete Model
LH-Tech-AI released htmLLM-124M v2, a 124M parameter model specialized for HTML/Bootstrap autocompletion that achieves 0.91 validation loss and trains in ~8 hours on a single T4 GPU.
RelayCode VS Code Extension Routes Claude Code Through Sovereign RDUs
OpenGPU has released RelayCode, a VS Code extension that acts as a local proxy to route Claude Code or Copilot requests through their decentralized network to open-weight models like DeepSeek-R1 and MiniMax M2.5 running on sovereign reconfigurable dataflow units.