Junie Local runs coding-model inference on your own machine—but local doesn't mean lightweight. Here are the Mac and Windows hardware requirements to check before you download.
This 93-second explainer separates the interface, inference engine and model, then shows why disk space, RAM and VRAM are different resources.
Requirements checked on 8 November 2026:
• Mac: macOS 26+, Apple Silicon M4 or newer, 48GB RAM or more.
• Windows: Windows 11, a discrete NVIDIA RTX GPU (Ampere or newer), 24GB VRAM or more.
• Both routes: approximately 21GB of free disk space.
This is a hardware overview, not a complete installation guide. Check the current official documentation for drivers, runtime dependencies and any updated requirements. The 16GB-versus-48GB example concerns this documented Mac route; it is not a claim that every local AI model needs 48GB.
00:00 Local does not mean lightweight
00:16 Mac requirements
00:28 Windows, VRAM and disk space
00:43 Storage versus working memory
00:58 Installation is not a benchmark
01:11 What to check before downloading
Sources:
• JetBrains Junie Local documentation:
https://junie.jetbrains.com/docs/junie-local.html
• Junie Local README:
https://github.com/JetBrains/junie/blob/main/local/README.md
I did not install or benchmark Junie Local for this video. The hardware scenes are original conceptual illustrations, not product footage or measured inference. Local inference alone does not guarantee that every agent tool stays offline.
Production: original 3D animation, explanatory graphics, synthetic English narration and a quiet original electronic background. Conceptual artwork and cover use AI-generated imagery.
Produced with Framewright:
https://github.com/markoblogo/framewright
Which limit matters most on your setup: RAM, VRAM or the processor?
#Junie #LocalAI #CodingAgents
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