ClawDeckX: Open-Sourced macOS-Style Web Platform for OpenClaw Agent Management
What ClawDeckX Does
ClawDeckX is a macOS-style web platform designed to handle the entire lifecycle of OpenClaw agents. The developer created it to address "terminal fatigue" and provide a more professional interface for agent management.
Key Features
- Seamless Installation & Setup: Handles installation and environment setup directly through the platform
- Unified Config Center: Visualize and manage all agent settings and skills in one centralized hub instead of hunting through folders
- Visual Vitals & Token Tracking: Smooth, real-time line charts for CPU/RAM and individual agent token consumption to see exactly how resources and budget are being spent
- Integrated Log Stream: Built-in log viewer for debugging in real-time without touching the terminal
- 13 Languages Supported: Fully localized for English, 中文, 日本語, Français, Deutsch, Español, and more
Availability
The project is open-sourced and available on GitHub. The developer notes it's still early days and is seeking community feedback on what features to add next.
📖 Read the full source: r/openclaw
👀 See Also
Need MCP Server Provides Semantic Tool Discovery for AI Agents
An MCP server called Need enables semantic search over 10,000+ tools from brew, npm, pip, and cargo. When an agent requests a task like 'compress these PNGs,' it finds pngquant, installs it, runs it, and reports back on success.
Linki v2: Open-Source AI SDR for LinkedIn + Cold Email with Self-Hosted Agent
Linki v2 is a self-hosted LinkedIn automation and cold email tool with an AI agent that writes personalized messages per lead. No per-seat pricing, your data stays local.
My Agent Built Himself an Interoception System — Now He Has Desires
VoidLLM: Zero-Knowledge Proxy for Ollama and vLLM with Team Access Control
VoidLLM is a proxy that sits between applications and local LLM servers like Ollama and vLLM, adding organization/team access control, API key management, usage tracking, and rate limiting without viewing prompts. It has <2ms proxy overhead and works with OpenAI-compatible SDKs.