LibreAI / Agents / magentic
// agents Β· jackmpcollins/magentic

magentic

Use LLMs as plain Python functions: prompts become typed, testable code.

πŸ’Ž Hidden gemβ˜… 2.4k starsβ‘‚ 128 forksMITupdated 2026-03
β–¦ visual β€” this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
// project facts

Project facts

magentic is an open-source agents project by jackmpcollins (jackmpcollins/magentic on GitHub). It has 2,426 GitHub stars and 128 forks, is released under the MIT license, and was last updated on GitHub on 11 March 2026.

GitHub stars
2,426
Forks
128
License
MIT
Last updated on GitHub
11 March 2026
Category
Agents
Listing
Hidden gem β€” a shorter page for a lesser-known project
Official site
Official site
// how it works

How it works

  1. Install magentic

    pip install it into your Python project.

  2. Define a function

    Write a signature with types.

  3. Call it

    The LLM fills in the implementation.

  4. Test normally

    Functions behave like functions.

// features

Why people love it

LLMs as functions

Call models like regular code.

Typed input and output

Pydantic-style type safety.

Testable

Mock and unit-test LLM calls.

Minimal API

A tiny surface, easy to learn.

Chat support

Multi-turn conversations too.

MIT licensed

Use anywhere.

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// run it

Run it yourself

  1. Step 1 β€” Clone the repo

    Download the source and move into the project folder.

    git clone https://github.com/jackmpcollins/magentic.git
    cd magentic
  2. Step 2 β€” Check the README

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

    cat README.md | head -60
  3. Step 3 β€” Run it

    Follow the project’s launch command β€” 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 Magentic?

It is an open-source project at jackmpcollins/magentic with 128 forks.

Is it free for commercial use?

Yes. MIT licensed.

Which models work?

ChatGPT-style chat models; see the docs.

How is it different from Instructor?

Even more minimal: functions first, framework second.

Does it handle structured output?

Yes. Types drive parsing and coercion.

// keep exploring

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// alternatives

Alternatives in Agents

The most-starred other Agents projects in the LibreAI catalogue β€” the realistic shortlist if magentic is not the right fit.

Get magentic

Free and open β€” grab the source, star the repo, and start creating.