Python framework that facilitates the quick development of complex video analysis applications and other series-processing based applications in a multiprocessing environment.
Executable Agent Skill for turning researched mechanisms into narration-synchronized HTML/SVG/GSAP explainer videos with templates, TTS, FFmpeg rendering, and release QC.
Perception receipts for AI video pipelines. Cross-writer bit-exact under default settings (SHA-256 stable across writers in any language). Zero runtime dependencies; pure stdlib core. ~1.1 KB per video; per-frame CRC32 + schema + versioning. Useful now, improving continuously.
