LibreAI / Automation / ferret
// automation · MontFerret/ferret

ferret

Declarative data automation language and Go runtime for structured extraction workflows.

★ 6.0k stars⑂ 326 forksApache-2.0updated 2026-10
▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
// project facts

Project facts

ferret is an open-source automation project by MontFerret (MontFerret/ferret on GitHub). It has 6,013 GitHub stars and 326 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 2 October 2026.

GitHub stars
6,013
Forks
326
License
Apache-2.0
Last updated on GitHub
2 October 2026
Category
Automation
Listing
Full install guide
Official site
Official site
// how it works

How it works

  1. Connect your apps

    Link the services you already use through built-in integrations or generic webhooks and API calls.

  2. Build the flow visually

    Drag triggers and actions onto a canvas: when this happens, do that.

  3. Add logic and AI

    Branch on conditions, loop over items, or pipe steps through language models.

  4. Deploy and monitor

    Turn the workflow on and watch executions in the run history.

// features

Why people love it

Go efficiency

A single static binary in Go: fast startup, tiny footprint, easy to deploy.

Error handling

Retries, fallbacks, and alerts when steps fail.

Versioned flows

Export, diff, and back up workflows like code.

No per-run pricing

The automation is free; you only pay for your own server.

Scheduling & triggers

Cron, webhooks, and events keep flows running 24/7.

AI-native steps

Call LLMs mid-workflow for decisions and extraction.

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// run it

Run it yourself

  1. Step 1 — Clone the repo

    Download the source and move into the project folder.

    git clone https://github.com/MontFerret/ferret.git
    cd ferret
  2. Step 2 — Check the README

    Every project documents its own setup; start with install requirements.

    cat README.md | head -60
  3. Step 3 — Run it

    Follow the project's launch command — Docker, pip, npm, or a binary release.

    # see README for the exact launch command
// use cases

What you can build

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// faq

Questions, answered

Who maintains ferret?

It is an open-source project at MontFerret/ferret with 326 forks. Check the repo's contributors and recent commits to see how active maintenance is.

Is ferret free for commercial use?

Apache 2.0 licensed — commercial use allowed with attribution.

Do I need to code?

Most flows are visual; light expressions help for advanced logic.

Is it really free?

The core software is open-source and free to self-host; managed clouds exist if you prefer.

What do I need to run it?

Docker and a small VPS or home server cover most of these.

// keep exploring

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// alternatives

Alternatives in Automation

The most-starred other Automation projects in the LibreAI catalogue — the realistic shortlist if ferret is not the right fit.

Get ferret

Free and open — grab the source, star the repo, and start creating.