Onda, an open-source library of motion graphic components for Remotion, has launched an update focusing on enhancing agent-native discovery for LLMs. This update introduces 'pickWhen' and 'composes' fields to manifest entries, which allows AI models to better select and combine components for video creation without extensive prompt engineering. The library now features 70 components and 18 transitions across various categories, all designed with a consistent motion language.
The immediate effect is cleaner component selection for AI-driven video workflows: Onda is now encoding usage guidance in the manifest itself, rather than relying on prompt-side curation. That matters because the library is explicitly targeting Remotion users who want source-owned components and machine-readable discovery. The broader signal is that Onda is treating agent-native discovery as a first-class product surface, alongside its runtime manifest and markdown registry. The next concrete checkpoint is whether downstream consumers start reading the new pickWhen and composes entries in llms.txt, llms-full.txt, or the generated manifest output.
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