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Most AI video tools generate a clip. Lavendly composes a film. The product is a graph: nodes are intents (text, images, voices, music, shots), edges are how they compose. The same graph that a human edits on the canvas is the one an agent edits through the API, and either side sees the other’s changes in real time.

Quickstart

Get an API key, generate your first video in five minutes.

Agent skills

Drop Lavendly into Claude, Cursor, or any agent runtime.

SDKs

Node and Python cookbooks, generate, narrate, render, ship.

API reference

Every operation, idempotent where it matters.

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What “agentic-first” means

We built the API first, then put a canvas on top. Both edit the same graph:
  • Same surface, same trust. Every action a human can take, an agent can take. There is no “agent backdoor” and no “human-only feature.”
  • One source of truth. When an agent attaches a voiceover or changes the mix, it shows up as a real node on the canvas, instantly editable by a human, deletable by either side, rendered the same way.
  • Idempotent by default. Retry-safe headers on every mutation that costs money. Agents can crash, networks can blip, and the same call twice still spends once.
  • Self-describing. A single endpoint returns the complete operation catalog so an agent can discover what the platform can do without reading docs out of band.

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What an agent can build with it

Generate a shot card, pick a video model, synthesize a voiceover with word-level timing, choose a music bed with ducking, mix it all, render. ~6 tool calls end to end.
Spin up several shot nodes, share a character anchor across them, chain them into an output node, render. Characters, palette, and motion vocabulary carry across the sequence.
Take a finished workflow, swap the voiceover for a different language and voice, re-render. Original graph untouched.
A cron’d agent reads a feed, drafts a workflow, renders, posts the finished video. Credit ledger and monthly cost cap keep it from bankrupting you on a bad week.

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Where to start