Goal: run a team of local AIs that cooperate on one task — so you get better output, faster iteration, and less “single-model tunnel vision.” This is the practical version of “multi-agent” — not sci-fi. You’ll learn how to: Run multiple LM Studio servers on different...
Goal: build useful “plugins” for LM Studio that feel practical in daily life — like a SearXNG web search tool, plus a tool router that converts natural language into reliable tool calls. This is not hype. This is how you turn a local model into a real assistant: it...
Goal: build (or use) simple coding tools that make everyday AI feel like it “remembers” your life — even though every model has a hard limit called a context window. This isn’t magic memory. It’s a practical stack: chunking + summaries + a local database (often a...
Goal: build a Discord bot that does the normal bot things people actually use — 🎧 music controls, 🧰 slash commands, and (optionally) 🤖 a local AI “/ask” command powered by LM Studio. This isn’t “AI sci-fi”. This is a practical automation project: your PC does the...
⬅️ Back to Main Page LM Studio: Run AI Locally (Beginner → Power User Guide) Start from zero. Install LM Studio, pick the right model, tune speed/quality, and run a local API server for apps, agents, coding, and creative tools. Last updated: January 2026 • Estimated...
Recent Comments