Atet

Atet

Make and edit video with your coding agent

Atet gives your agent one local project to generate images, video, and voice, edit screen recordings and imported footage, add captions, graphics, and motion, and export finished videos. Your source files never change.

Install Atet See example requests

Free and open source under the MIT license · v3.2.3 · Bun 1.3.14 or newer · Recording needs macOS

$ atet doctor --json
# Report the recording, rendering, browser, and media tools on this machine.
$ atet workflows show social-variants --json
# Read the inputs, resources, and outputs of the built-in social-variants recipe.
$ atet workflows plan social-variants --input job.json --json
# Resolve the whole run before anything renders.
$ atet workflows run social-variants --input job.json --jsonl
# Stream progress and keep the record of the run.
The four commands your agent runs for one job, in order. A transcript of the working model, not a recording. Atet v3.2.3
Outputs
Four familiesImages, diagrams, animated loops, and video
Interfaces
Four peersAgent Skill, CLI, TypeScript SDK, and MCP
Delivery
16:9, 9:16, 1:1, 4:5Clean and captioned cuts from one edit
Cost
FreeMIT license, no account
Generate
Create images, video shots, voiceovers, and transcripts from text and reference media with the models available through your own Vercel AI Gateway.
Edit
Cut pauses and filler words, reframe speakers, zoom into screen actions, and add captions, overlays, color, and audio treatment. Source media stays unchanged.
Deliver
Preview the edit, then export clean and captioned versions in landscape, vertical, square, and portrait from the same timeline.

Install Atet for your agent.

Two installs: the Agent Skill teaches your agent the creative decisions, and the CLI does the work.

Install the local media tools · Requires Bun 1.3.14+

  1. 01bun add --global https://github.com/hraness/atet/releases/download/v3.2.3/hraness-atet-3.2.3.tgz
  2. 02atet doctor

Install the Atet Agent Skill

npx skills add https://github.com/hraness/atet/tree/v3.2.3 --skill atet

Using Bun? bunx skills add https://github.com/hraness/atet/tree/v3.2.3 --skill atet

Run atet doctor inside the project you want to work in. Then start a new agent session. Describe the result, source files, and details that must remain unchanged.

Read the immutable Atet release and the Atet Agent Skill.

Give your agent the whole creative job.

A useful request names the source, the result, and the details that must stay the same. Your agent plans the commands and shows you a preview before it makes the final files.

  1. Edit a product demo

    “Use Atet to record my screen, camera, microphone, and system audio while I demo the app. When I stop, turn the recording into a polished two-minute walkthrough. Remove long pauses and filler words, zoom in when I click or type, keep me framed, add readable captions and logo.svg, and show me a preview before exporting the final video.”

  2. Generate an opening sequence

    “Use Atet to create three opening-shot ideas from product.png. Show them to me side by side, then animate the one I choose into a six-second widescreen clip. Keep the product shape, colors, and lettering recognizable.”

  3. Add voice and deliver every format

    “Use Atet to generate a calm voiceover from script.txt, place it over the approved edit, mix the music quietly underneath it, and export clean and captioned versions in 16:9, 9:16, 1:1, and 4:5.”

  4. Explain a system visually

    “Use Atet to turn the services in this repository into an editable diagram, then build a short animated version that introduces each service in order.”

After it runs, your agent should show you the result and report the source, preview, and final output files. You can ask for changes in the same plain language.

From raw footage to finished delivery.

Atet brings generation, editing, motion, and export into one project that your agent can inspect and revise. Preview and final renders use the same timeline and composition.

Graphics and motion use the same toolkit. Atet also creates editable diagrams, converts raster artwork to SVG locally, and builds deterministic animated layers with HTML, SVG, shaders, and Three.js. Those outputs can stand alone or join a video project.

  1. Bring in what you have

    Record a screen, camera, microphone, and system audio on macOS, or import existing video, audio, images, and graphics.

  2. Generate what is missing

    Discover current Gateway models and create images, video shots, voiceovers, or transcripts from text and reference media.

  3. Shape the edit

    Remove pauses and filler words, align sound, reframe speakers, zoom into screen actions, add overlays, captions, color, and audio treatment.

  4. Review before final

    Render a lower-cost preview from the same timeline and composition that will produce the final video.

  5. Deliver every version

    Export clean and captioned cuts in landscape, vertical, square, and portrait formats without rebuilding the edit.

The same local system meets four kinds of caller.

Start from a finished-result brief, a shell command, typed code, or a typed agent tool. Each one reaches the same project and the same operations.

Agent Skill

Version-matched guidance for turning a creative brief into the right operations.

npx skills add https://github.com/hraness/atet/tree/v3.2.3 --skill atet

CLI

Human-readable commands and stable JSON for local scripts.

atet workflows list --json

TypeScript SDK

Declarative or imperative media work inside your own Bun code.

import { vectorizeImage } from "@hraness/atet"

MCP

A fixed set of typed operations confined to one selected root.

atet mcp --root /absolute/path/to/workspace

A local project your agent can understand.

Atet keeps source media, editing decisions, previews, and final outputs in storage you control. The agent chooses explicit operations, and the project records what those operations changed.

Source media stays unchanged
Original recordings and imported media are never rewritten. Cuts, timing, framing, overlays, and effects are recorded as project decisions, and every alternative starts from a named project state.
Project state stays on your machine
There is no Atet account or hosted project database. Source, project state, previews, and final files stay in storage you control.
Gateway credentials stay local
Model-backed work uses your Vercel AI Gateway credential from the local process, never stores or prints it, and uploads local media only after explicit acknowledgement.
Operations leave receipts
Preview and final renders use the same timeline and composition, so the edit you approve is the edit that exports. Important operations keep secret-free receipts that name their inputs and outputs.

The installed Agent Skill and atet --help describe the exact tools on the current machine. The repository documents the rest: README and agent guide, architecture, and security policy.

Before you install.

Does Atet require an account or subscription?

No Atet account or subscription exists. Atet is free and open source under the MIT license. Model-backed generation uses caller-owned Vercel AI Gateway access.

What does it cost?

Atet costs nothing. Editing, previews, diagrams, vectorization, and exports run on your machine. Model-backed generation goes through your own Vercel AI Gateway access, so any model usage is billed to that account, not to Atet.

Where do my Gateway credentials live?

In the environment of the local CLI or SDK process. Atet does not store or print the credential, and this website never receives one. With a linked Vercel project, vercel env run -- <command> injects it for one command without writing it into the project.

Which platforms does Atet run on?

macOS, Linux, and Windows with Bun 1.3.14 or newer. Screen, camera, microphone, and system-audio recording belongs to the macOS host and needs the matching operating-system permissions. atet doctor reports which tools the current machine has.

Does Atet overwrite original media?

No. Original recordings and imported media stay unchanged while edits, alternatives, previews, and deliveries remain attached to explicit project states.

When can local media leave the machine?

Only model-backed work may upload named media, and only after explicit acknowledgement. Local editing, vectorization, deterministic rendering, previews, and outputs remain local.

Which agents can use the skill, and how do I install it for Claude Code?

The public skills command above installs the current repository release guide for any agent that reads Agent Skills. When that command is not being used, atet skill install installs the guide shipped with your CLI for Codex by default. For Claude Code, run atet skill install --target claude. For other Agent Skill readers, run atet skill install --target agents. To limit the install to the current repository, run it there and add --scope project.

Does the Atet website generate or edit media?

No. The website explains and installs the local system. Media work runs in the caller's CLI, SDK, MCP server, or desktop host.

Who made Atet?

Ben Guo, who builds Hraness projects from Puerto Rico. The maker section has the short version and links.

Built by Ben Guo

Atet is built by Ben Guo, a musician and builder, formerly a founder and engineering leader at companies including Venmo and Stripe, now building from Puerto Rico.

Make and edit visual media with your coding agent.

Install the skill, name the source files and the details that must stay the same, and ask for the finished result.

Install Atet Read the source

Free and open source under the MIT license · v3.2.3 · Bun 1.3.14 or newer