About this video
If you’re into what OpenClaw does for agent orchestration, you’ll want to see Qoder. Its Experts Mode runs a Team Lead + specialized teammates in parallel. I’ve been using it for full-stack tasks that take hours. New users get 300 free credits. 👉 Worth a look: http://qoder.com/download?utm_source=youtube&utm_medium=description&utm_campaign=samuelgregory Tired of watching your OpenAI bill climb every month? In this video, I show you how to run powerful AI models completely locally using LM Studio and connect them to OpenClaw. We will walk through downloading LM Studio, grabbing a model (Qwen3.5), starting the local API server, and configuring OpenClaw to use it. By the end, you will have a fully private, zero-cost AI assistant running on your own hardware. Perfect for developers who want full control, privacy-conscious users, or anyone sick of rate limits and subscription fees. 📌 Key Takeaways - LM Studio provides an easy GUI for running local LLMs with an OpenAI-compatible API - OpenClaw supports custom AI providers — connect LM Studio as a backend in minutes - Key config: base URL + model name, default port 1234 - Full privacy, no subscriptions, no rate limits — your machine, your models 🔗 Links - Config Settings: https://docs.openclaw.ai/gateway/local-models#recommended-lm-studio-+-minimax-m2-5-responses-api-full-size - LM Studio: https://lmstudio.ai - OpenClaw: https://openclaw.ai