airbyte
Open-source data movement for ELT pipelines and AI agents — from APIs, databases & files to warehouses, lakes, and AI applications. Both self-hosted and Cloud.
trigger.dev ist ein Open-Source-Projekt aus der Kategorie Automatisierung von triggerdotdev (triggerdotdev/trigger.dev auf GitHub). Es hat 16.460 Sterne auf GitHub und 1.479 Forks, wird unter der Lizenz Apache-2.0 veröffentlicht und wurde zuletzt am 2. Oktober 2026 auf GitHub aktualisiert.
Trigger.dev – build and deploy durable AI agents and workflows
Link the services you already use through built-in integrations or generic webhooks and API calls.
Drag triggers and actions onto a canvas: when this happens, do that.
Branch on conditions, loop over items, or pipe steps through language models.
Turn the workflow on and watch executions in the run history.
Designed to run unattended: triggers, schedules, and webhooks.
Design automations on a canvas instead of writing glue code.
Retries, fallbacks, and alerts when steps fail.
Export, diff, and back up workflows like code.
The automation is free; you only pay for your own server.
Cron, webhooks, and events keep flows running 24/7.
Download the source and move into the project folder.
git clone https://github.com/triggerdotdev/trigger.dev.git
cd trigger.devEvery 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 is an open-source project at triggerdotdev/trigger.dev with 1,479 forks. Check the repo's contributors and recent commits to see how active maintenance is.
Apache 2.0 licensed — commercial use allowed with attribution.
Most flows are visual; light expressions help for advanced logic.
The core software is open-source and free to self-host; managed clouds exist if you prefer.
Docker and a small VPS or home server cover most of these.
Open-source data movement for ELT pipelines and AI agents — from APIs, databases & files to warehouses, lakes, and AI applications. Both self-hosted and Cloud.
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