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🌐🤖 LAN AI Cluster: Run LM Studio Across Multiple Computers
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...
⚙️🤖 Practical LM Studio Tools: Web Search, Routing, and Real “Assistant” Behavior
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...
How to Make AI Remember: Chunking, Summaries, and a Local Memory Database
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...
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🌀 Sacred Geometry Hub
Enter the classical craft — compass, straightedge, proportion, and elegant constructions — presented as public knowledge with a modern, Art Deco glow.