LibreAI / KI-Agenten / Auto-Company
// agents · MaxMiksa/Auto-Company

Auto-Company

Auto-Company ist ein Open-Source-Projekt aus der Kategorie KI-Agenten von MaxMiksa (MaxMiksa/Auto-Company auf GitHub). Es hat 3.120 Sterne auf GitHub und 493 Forks, wird unter der Lizenz MIT veröffentlicht und wurde zuletzt am 4. Oktober 2026 auf GitHub aktualisiert.

An auto-company that works 24/7 on your own PC — 14 agent roles, a dashboard, real workflows.

★ 3,1 Tsd. Sterne⑂ 493 ForksMITaktualisiert Okt 2026
▦ Visual — das README dieses Projekts enthält keinen einbettbaren Screenshot,
darum hier ein Platzhalter. Die Anleitung unten ist trotzdem vollständig.
// projektdaten

Projektdaten

GitHub-Sterne
3.120
Forks
493
Lizenz
MIT
Zuletzt auf GitHub aktualisiert
4. Oktober 2026
Kategorie
KI-Agenten
Eintragstyp
Vollständige Installationsanleitung
// so funktioniert es

So funktioniert es

  1. Clarify your goal

    Decide the first concrete outcome you want from it, so you can pick the right example, template or mode instead of exploring everything at once.

  2. Get the project

    Clone the repository (or install the published package) and skim its README quick start for the requirements for your platform.

  3. Install and configure

    Run the documented install step and set any required configuration — such as provider keys, data sources or local services — before the first run.

  4. Run your first task

    Execute the smallest documented example end to end, confirm the output is what you expected, then adapt it to your real data or workflow.

// funktionen

Warum es so beliebt ist

14-role team lineup

A defined roster of roles that divide company work between them.

Six standard workflows

Documented default workflows route work through the team.

24/7 daemon mode

Runs continuously: launchd on macOS, systemd --user on WSL, with status and stop commands.

Dashboard and product center

A UI to watch the company, its products and generated applications.

Steering and guardrails

Steering controls plus documented safety guardrails, with human-in-the-loop observability.

Two engines

Drive the company with Claude Code (default) or Codex CLI, switchable by flag.

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// selbst ausführen

Führe es selbst aus

  1. Clone the repository

    Get the source so you can inspect, configure and run it locally.

    git clone https://github.com/MaxMiksa/Auto-Company.git
    cd Auto-Company
  2. Clone and start on macOS

    Requires macOS, Claude Code or Codex CLI installed and authenticated, Python 3.10+, git and make, plus model quota.

    git clone https://github.com/MaxMiksa/Auto-Company.git
    cd Auto-Company  # then follow the README macOS Quick Start (foreground or daemon)
  3. Or run under WSL on Windows

    Start the daemon via PowerShell (default engine Claude), check status and stop it as the README documents.

    # see README Windows (WSL) Quick Start for the exact PowerShell commands
// anwendungsfälle

Was du damit bauen kannst

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// häufige fragen

Häufige Fragen

Who maintains Auto-Company?

It is maintained by MaxMiksa on GitHub (MaxMiksa/Auto-Company), where the source, issues and releases live.

Is it free to use?

Yes — it is free and open source under the MIT licence, which permits use, modification and redistribution, including commercially, with attribution.

Does it need a paid API key?

Yes in effect — it runs on Claude Code or Codex CLI, so you need one of those installed and authenticated with available model quota, per the README prerequisites.

How does it compare to a single autonomous agent framework such as AutoGPT-style loops?

Compared with a single autonomous agent framework such as AutoGPT-style loops, Auto-Company's distinguishing focus is: an auto-company that works 24/7 on your own PC — 14 agent roles, a dashboard, real workflows. Pick it when that focus matches your need; the alternative may suit you better if its broader or different scope is the priority.

How do I get started?

Clone https://github.com/MaxMiksa/Auto-Company (or install its published package), follow the README quick start to install and configure it, then run the smallest documented example — the Run section on this page mirrors those steps.

// weiter entdecken

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// alternativen

Alternativen im Bereich KI-Agenten

Die anderen Projekte der Kategorie KI-Agenten mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls Auto-Company nicht das Richtige ist.

// mehr in agents

Mehr in KI-Agenten

Verwandte Projekte der Kategorie KI-Agenten im Katalog, die Auto-Company bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.

Hol dir Auto-Company

Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.