A managed on-device AI runtime for Flutter — text, vision, speech, and RAG running sustainably on real phones under real constraints. Private by default.
~22,700 LOC | 50 C API functions | 32 Dart SDK files | 0 cloud dependencies
Why Edge-Veda Exists
Modern on-device AI demos break instantly in real usage:
Thermal throttling collapses throughput
Memory spikes cause silent crashes
Sessions longer than ~60 seconds become unstable
Developers have no visibility into runtime behavior
Debugging failures is nearly impossible
Edge-Veda exists to make on-device AI predictable, observable, and sustainable — not just runnable.
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