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1 Get Running 2 Choose Wisely 3A How Models Think 3B How Models Fit 4 What Can You Do With This? 5 Agents 6 Build Custom Tools 7 Local + Cloud 8 Supercharge Your Setup 9 Go Further 10 What's Next
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Useful Projects

Open-source projects pushing the boundaries of local AI.

chopratejas/headroom
800
headroom

Beautiful macOS menubar app that shows which LLMs fit on your Mac in real time. Monitors available memory and recommends models.

macOSSwiftmenubar
rtk-ai/rtk
2k
RTK (Real-Time Kit)

Agent framework for building real-time AI applications. WebSocket-native, streaming-first, with built-in tool orchestration.

TypeScriptagentsreal-time
cwinvestments/memstack
500
memstack

Memory-efficient model stacking — run multiple small models as a committee. Ensemble inference on consumer hardware.

Pythoninferenceensemble
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