What agents can make
with FrameLane.
Start with real footage. Let your agent define the edit. FrameLane renders the final video.
Layered video composition
“Stack two full-frame clips with vintage and bokeh effects, drop in a bordered PiP at second 30, sequence four text layers with fade, difference, overlay, and evaporate motion — export 3840×2160.”
Stack video layers with effects, add a picture-in-picture overlay, and sequence text with blend and dissolve motion — one render job.
Everything an agent needs
to produce video.
A complete editing and rendering pipeline exposed through API, SDKs, and MCP.
Asset ingest
Upload or reference video, audio, images, fonts, and LUTs. FrameLane handles metadata, proxies, transcoding, and problematic media inputs.
{
"source_url": "https://cdn.example.com/clip.mp4"
}How FrameLane
works.
The rendering engine is written in Rust and built on wgpu. The same codebase compiles to a native binary that runs on Vulkan on GCP GPU instances, and to WebAssembly that runs against the browser's GPU API in your web application.
Built for real video,
not just motion graphics.
- GPUNo GPU on Lambda
Lambda and Vercel Sandbox do not have GPUs. You are limited to CPU-only rendering.
↗FrameLane renders on GPU. Every job.
- RenderingCSS animations are forbidden
CSS transitions or animations are FORBIDDEN — they will not render correctly.
↗FrameLane is GPU-native. No browser. No frame simulation. No flickering.
- AI AgentsAgents have to write React
No React, no proprietary DSL. AI-first — agents already speak HTML/JSON.
↗FrameLane is JSON-in, video-out. Any agent, any language, one API call.
- PerformanceGrinds to a crawl with real video
After about 20–30% of rendering 4k video is complete, it grinds to a crawl and renders at about 5fps and continues to slow.
↗GPU decode, GPU encode, parallel rendering.
Get started
in seconds.
Install the SDK and start building with FrameLane — from ingest to render in a single API call.