Automatisierung
Activepieces
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI…
★ 24,9 Tsd. SterneCustom (check repo)
Anleitung ansehen →bytechef ist ein Open-Source-Projekt aus der Kategorie Automatisierung von bytechefhq (bytechefhq/bytechef auf GitHub). Es hat 1.009 Sterne auf GitHub und 174 Forks, wird unter der Lizenz Custom veröffentlicht und wurde zuletzt am 4. Oktober 2026 auf GitHub aktualisiert.
Self-hosted AI agents and workflow automation you can embed in your SaaS.
Self-host it on your own infrastructure.
Design automations and AI agent flows visually.
Wire up the APIs and services you use.
Use it standalone or embed it into your SaaS.
Agent-driven automation alongside classic workflows.
Ships inside your own SaaS product.
Runs on your infrastructure, your data.
Connectors for common APIs and services.
Design flows without writing everything by hand.
Aims at teams outgrowing per-task pricing.
Download the source and move into the project folder.
git clone https://github.com/bytechefhq/bytechef.git
cd bytechefEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt describes itself as an Apache 2.0 alternative, but the repo license is listed as Custom — verify before embedding.
That is its headline use case, but confirm the license terms first.
Similar visual automation, with added AI agents and a stronger embed-in-SaaS story.
It is a Java project, so it helps for deep customization, but the builder is visual.
Check bytechef.io for current hosting options.
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Die anderen Projekte der Kategorie Automatisierung mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls bytechef nicht das Richtige ist.
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Verwandte Projekte der Kategorie Automatisierung im Katalog, die bytechef bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
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Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.