OpenClaw Resource List Compiled from Community Sources
A developer has compiled and shared a GitHub repository containing OpenClaw resources gathered from various community channels. The list aims to address the difficulty of finding reliable information scattered across Discord threads, YouTube comments, and GitHub issues.
Resource Categories Covered
- Setup and deployment: Includes Docker configurations, VPS provider guidance, and local installation instructions.
- SOUL.md and persona configuration: Documentation on agent personality and behavior settings.
- Memory systems: Information on preventing the agent from forgetting context during sessions.
- Security hardening: Guidance based on the compiler's early experiences with security issues.
- Skills and integrations: Resources from ClawHub for extending agent capabilities.
- Model compatibility: Information for users running local models through Ollama.
- Communities: Links to active communities including a Discord server noted as genuinely helpful.
The repository is hosted at https://github.com/zacfrulloni/OpenClaw-Holy-Grail and is open to contributions via pull requests or comments. The compiler acknowledges the list isn't exhaustive and welcomes additions from the community.
📖 Read the full source: r/openclaw
👀 See Also
Custom Command Center App for OpenClaw: React PWA with WebSocket Proxy and Tailscale
A developer built a React PWA command center for their OpenClaw setup, featuring a live agent dashboard, trading desk, and push notifications, using a WebSocket proxy pattern to bridge OpenClaw's loopback-only gateway with devices on a Tailscale mesh.
Practical AI Coding Strategies from 1000 Hours of Experience
A Reddit post outlines specific prompting levels and workflow strategies for using AI coding agents effectively, including treating AI as a junior developer, phased implementation, and using instruction files.
Running Qwen3.6-35B-A3B with ~190k Context on 8GB VRAM + 32GB RAM – Setup & Benchmarks
A Reddit user shares a working llama.cpp configuration for Qwen3.6-35B-A3B GGUF models on an RTX 4060 (8GB VRAM) + 32GB DDR5, achieving 37-51 tok/s at 192k context using TurboQuant and specific flags.
OpenClaw Job Search Automation Guide — Preferences, Cron Jobs, and Filtering
A practical guide using OpenClaw to automate job hunting: define a clear preference spec, choose a tool for fetching postings (browser automation, scraping, or structured API), and validate the workflow before setting up a cron job.