nanoframes
SVG-first, browserless, deterministic frame rendering on ThorVG.
nanoframes is an offline counterpart to hyperframes: the same
idea — write a frame, render a video, built for agents — but without a browser. Compositions are
authored as SVG documents plus a small declarative animation timeline, and every frame is
rasterized deterministically by ThorVG (thorvg-python) to PNG, then muxed to MP4 with FFmpeg.
Because nothing depends on a browser, an AI agent can render a frame or a whole clip locally in
milliseconds and iterate fast: check → preview → render.
Status
v1 complete. Full offline pipeline works end-to-end: init → check →
render/preview → video. SVG compositions + declarative keyframe timeline are
rendered deterministically by ThorVG; MP4 export via ffmpeg; visual snapshots guard
regressions. Text auto-layout (measured chips, wrap, curve, fit) + a bundled
monospace CJK font (Sarasa Mono SC, ligatures stripped) for solid Chinese.
nanoframes lottie additionally renders Lottie/Bodymovin JSON scenes (the
text-to-lottie deliverable format) to MP4 offline through ThorVG's native
Lottie loader. The agent skill ships a motion/design craft reference library
(skills/nanoframes/references/, adapted from text-to-lottie, MIT).
Layout
docs/ architecture + composition + lottie-import contracts
examples/ `.nf.svg` compositions + lottie scenes
skills/nanoframes/ SKILL.md + references/ — agent production loop + craft library
nanoframes/ package (model, parser, timeline, bake, render, lint, cli, video, lottie)
tests/ unit + render + snapshot + CLI tests
Docs
- Architecture — why SVG + ThorVG, the pipeline, scope decisions.
- Composition — the
.nf.svgcontract (timing attributes + animation timeline). - Text capabilities — measured chips/wrap/curve/fit, bundled CJK font,
text_handlerescape hatch. - Lottie import — render Lottie JSON scenes to MP4 (
nanoframes lottie).
docs/ and skills/ also ship inside the pip wheel (nanoframes/docs,
nanoframes/skills); running nanoframes with no arguments — or
nanoframes --help — prints where the docs and the agent skill live, repo
checkout or installed package alike.
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