The most performance-sensitive parts of the assistant (capability search, layout validation, template substitution, text chunking, and the internal event bus) run on a performance acceleration layer for speed. Where the acceleration layer isn’t available, MeghaOS transparently falls back to a portable implementation, so behavior is identical either way; only throughput differs.

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What gets accelerated

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Automatic fallback

This is invisible in normal use; every feature works regardless. The acceleration layer simply makes high-frequency operations faster and lighter on resources, which keeps the assistant responsive even under heavy multi-step workloads.