## Summary Five resource-management fixes in `renderOrchestrator.ts` and `fileServer.ts`: HDR encoder cleanup on non-abort errors, `frameDirMaxIndexCache` eviction, mid-transition abort responsiveness, pre-allocated transition buffers, and a path-traversal guard for the local file server. ## Why `Chunk 5` of `plans/hdr-followups.md`. These are independent leaks/hangs/security issues that had each been called out in prior PR reviews and never landed. ## What changed **5A — HDR encoder + `domSession` cleanup.** The HDR streaming encoder and `domSession` were spawned outside any outer `try/finally`, so a non-abort error between encoder spawn and the inner cleanup leaked the FFmpeg process and held the browser page open. Wrapped the entire HDR (and SDR streaming) capture path in a `try/finally` with explicit `*Closed` flags, and defensively close both in the outer `finally` if they haven't been closed already. `StreamingEncoder.close()` and `closeCaptureSession()` are both idempotent, so double-close is safe. **5B — `frameDirMaxIndexCache` + `hdrFrameDirs` eviction.** `frameDirMaxIndexCache` is module-scoped and grew monotonically: every render added entries that were never removed. Lifted `hdrFrameDirs` to the outer scope, drop the matching cache entry in the per-video `rmSync` block, and sweep any survivors in the outer `finally`. The on-disk frames themselves were already torn down with `workDir`; this just stops the in-process Map from leaking entries across renders. **5C — Abort signal between scene A and scene B.** During a shader transition the orchestrator captures scene A and scene B back-to-back inside a single outer frame iteration. An abort that arrived while scene A was capturing wouldn't be noticed until the next outer frame — after scene B had already been fully composited and discarded. Added `assertNotAborted()` at the top of the inner `[transBufferA, transBufferB]` loop so abort is observed before the second scene's DOM seek + screenshot. **5D — Pre-allocated transition buffers (already addressed).** The transition buffers (`transBufferA`, `transBufferB`, `transOutput`, `normalCanvas`) are pre-allocated outside the per-frame loop. The remaining `Buffer.from` copies sit in HDR transfer conversion (Chunk 8B territory) and image preload, neither of which is the per-frame hot path. **5E — `fileServer` path-traversal guard.** `fileServer.ts` joined `compiledDir` / `projectDir` with the request path and only checked `existsSync` + `isFile`. `path.join` normalizes `..` segments, so `GET /../etc/passwd` would resolve to `/etc/passwd` and be served straight off disk if the file existed. Added an `isPathInside(child, parent)` helper that resolves both sides and compares prefixes with the platform separator appended (so `/foo` doesn't match `/foobar`), and rejects any candidate that lands outside its intended root. ## Test plan - [x] `bun run --filter @hyperframes/producer typecheck` passes. - [x] `fileServer.test.ts` 13/13 pass (4 existing + 9 new `isPathInside` cases covering same-path, nested, prefix-only siblings, escaping traversal, traversal that resolves back inside, trailing-slash handling, and relative-path resolution). - [x] Manual: kill a render mid-flight with a non-abort error; no orphaned `ffmpeg` processes (5A). - [x] Manual: two render jobs back-to-back; cache cleared between jobs (5B). - [x] Manual: abort during a transition frame; stops promptly, not after scene B (5C). - [x] Manual: `GET /../../../etc/passwd` against the local file server returns 403/404 (5E). ## Stack Chunk 5 of `plans/hdr-followups.md`.
Write HTML. Render video. Built for agents.
Hyperframes is an open-source video rendering framework that lets you create, preview, and render HTML-based video compositions — with first-class support for AI agents.
Quick Start
Option 1: With an AI coding agent (recommended)
Install the HyperFrames skills, then describe the video you want:
npx skills add heygen-com/hyperframes
This teaches your agent (Claude Code, Cursor, Gemini CLI, Codex) how to write correct compositions and GSAP animations. In Claude Code, the skills register as slash commands — invoke /hyperframes to author compositions, /hyperframes-cli for CLI commands, and /gsap for animation help.
For Codex specifically, the same skills are also exposed as an OpenAI Codex plugin — sparse-install just the plugin surface:
codex plugin marketplace add heygen-com/hyperframes --sparse .codex-plugin --sparse skills --sparse assets
Try it: example prompts
Copy any of these into your agent to get started. The /hyperframes prefix loads the skill context explicitly so you get correct output the first time.
Cold start — describe what you want:
Using
/hyperframes, create a 10-second product intro with a fade-in title, a background video, and background music.
Warm start — turn existing context into a video:
Take a look at this GitHub repo https://github.com/heygen-com/hyperframes and explain its uses and architecture to me using
/hyperframes.
Summarize the attached PDF into a 45-second pitch video using
/hyperframes.
Turn this CSV into an animated bar chart race using
/hyperframes.
Format-specific:
Make a 9:16 TikTok-style hook video about [topic] using
/hyperframes, with bouncy captions synced to a TTS narration.
Iterate — talk to the agent like a video editor:
Make the title 2x bigger, swap to dark mode, and add a fade-out at the end.
Add a lower third at 0:03 with my name and title.
The agent handles scaffolding, animation, and rendering. See the prompting guide for more patterns.
Option 2: Start a project manually
npx hyperframes init my-video
cd my-video
npx hyperframes preview # preview in browser (live reload)
npx hyperframes render # render to MP4
hyperframes init installs skills automatically, so you can hand off to your AI agent at any point.
Requirements: Node.js >= 22, FFmpeg
Why Hyperframes?
- HTML-native — compositions are HTML files with data attributes. No React, no proprietary DSL.
- AI-first — agents already speak HTML. The CLI is non-interactive by default, designed for agent-driven workflows.
- Deterministic rendering — same input = identical output. Built for automated pipelines.
- Frame Adapter pattern — bring your own animation runtime (GSAP, Lottie, CSS, Three.js).
Hyperframes vs Remotion
Hyperframes is inspired by Remotion — we used Remotion at HeyGen in production, learned a ton from it, and kept attribution comments in the source for the patterns it pioneered (Chrome launch flags, image2pipe → FFmpeg streaming, frame buffering). Both tools drive headless Chrome and both are deterministic. They differ on one decision: what the primary author writes. Remotion's bet is React components; Hyperframes' bet is HTML.
| Hyperframes | Remotion | |
|---|---|---|
| Authoring | HTML + CSS + GSAP | React components (TSX) |
| Build step | None; index.html plays as-is |
Required (bundler) |
| Library-clock animations (GSAP, Anime.js, Motion One) | Seekable, frame-accurate | Plays at wall-clock during render |
| Arbitrary HTML / CSS passthrough | Paste and animate | Rewrite as JSX |
| Distributed rendering | Single-machine today | Lambda, production-ready |
Licensing: fully open source vs source-available
Hyperframes is completely open source under Apache 2.0 — an OSI-approved license. Use it commercially at any scale, with no per-render fees, no seat caps, no company-size thresholds.
Remotion is source-available, not open source. The code is on GitHub under a custom Remotion License that requires a paid company license above small-team thresholds. It's a great product with a real team behind it — but if open-source licensing matters to you (OSI compliance, redistribution rights, no per-use fees), that's a first-order decision point.
Full write-up with benchmarks, an honest list of where each tool wins, and a GSAP side-by-side: Hyperframes vs Remotion guide.
How It Works
Define your video as HTML with data attributes:
<div id="stage" data-composition-id="my-video" data-start="0" data-width="1920" data-height="1080">
<video
id="clip-1"
data-start="0"
data-duration="5"
data-track-index="0"
src="intro.mp4"
muted
playsinline
></video>
<img
id="overlay"
class="clip"
data-start="2"
data-duration="3"
data-track-index="1"
src="logo.png"
/>
<audio
id="bg-music"
data-start="0"
data-duration="9"
data-track-index="2"
data-volume="0.5"
src="music.wav"
></audio>
</div>
Preview instantly in the browser. Render to MP4 locally or in Docker.
Catalog
50+ ready-to-use blocks and components — social overlays, shader transitions, data visualizations, and cinematic effects:
npx hyperframes add flash-through-white # shader transition
npx hyperframes add instagram-follow # social overlay
npx hyperframes add data-chart # animated chart
Browse the full catalog at hyperframes.heygen.com/catalog.
Documentation
Full documentation at hyperframes.heygen.com/introduction — Quickstart | Guides | API Reference | Catalog
Packages
| Package | Description |
|---|---|
hyperframes |
CLI — create, preview, lint, and render compositions |
@hyperframes/core |
Types, parsers, generators, linter, runtime, frame adapters |
@hyperframes/engine |
Seekable page-to-video capture engine (Puppeteer + FFmpeg) |
@hyperframes/producer |
Full rendering pipeline (capture + encode + audio mix) |
@hyperframes/studio |
Browser-based composition editor UI |
@hyperframes/player |
Embeddable <hyperframes-player> web component |
@hyperframes/shader-transitions |
WebGL shader transitions for compositions |
Skills
HyperFrames ships skills that teach AI agents framework-specific patterns that generic docs don't cover.
npx skills add heygen-com/hyperframes
| Skill | What it teaches |
|---|---|
hyperframes |
HTML composition authoring, captions, TTS, audio-reactive animation, transitions |
hyperframes-cli |
CLI commands: init, lint, preview, render, transcribe, tts, doctor |
hyperframes-registry |
Block and component installation via hyperframes add |
website-to-hyperframes |
Capture a URL and turn it into a video — full website-to-video pipeline |
gsap |
GSAP animation API, timelines, easing, ScrollTrigger, plugins, React/Vue/Svelte, performance |
Contributing
See CONTRIBUTING.md for guidelines.
Cloning the repo
The repo uses Git LFS for golden regression-test baselines under packages/producer/tests/**/output.mp4 (~240 MB of .mp4 files). If you're cloning the full repo for development, install Git LFS first:
# macOS
brew install git-lfs
# Ubuntu/Debian
sudo apt install git-lfs
# Windows
winget install GitHub.GitLFS
# (or install Git for Windows, which bundles Git LFS as an optional component)
# Then (once, per machine)
git lfs install
If you hit git-lfs filter-process: command not found during git clone or npx skills add heygen-com/hyperframes, install Git LFS and retry. You can also skip LFS content if you only need the source files:
GIT_LFS_SKIP_SMUDGE=1 git clone https://github.com/heygen-com/hyperframes.git
