Automatisierung
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.
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Anleitung ansehen →flowgram.ai ist ein Open-Source-Projekt aus der Kategorie Automatisierung von bytedance (bytedance/flowgram.ai auf GitHub). Es hat 8.479 Sterne auf GitHub und 775 Forks, wird unter der Lizenz MIT veröffentlicht und wurde zuletzt am 30. September 2026 auf GitHub aktualisiert.
FlowGram is an extensible workflow development framework with built-in canvas, form, variable, and materials that helps developers build AI workflow platform…
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.
Call LLMs mid-workflow for decisions and extraction.
Credentials and execution data stay on your infrastructure.
Prebuilt connectors plus HTTP, webhooks, and database nodes.
Design automations on a canvas instead of writing glue code.
Retries, fallbacks, and alerts when steps fail.
Download the source and move into the project folder.
git clone https://github.com/bytedance/flowgram.ai.git
cd flowgram.aiEvery 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 bytedance/flowgram.ai with 775 forks. Check the repo's contributors and recent commits to see how active maintenance is.
MIT licensed — use it commercially, no strings attached.
Same idea, but self-hosted with no per-task pricing.
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.
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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Workflow platform for running anything from a single LLM to complex AI chains.
Open-source developer platform to power your entire infra and turn scripts into webhooks, workflows and UIs. Fastest workflow engine…
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
Die anderen Projekte der Kategorie Automatisierung mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls flowgram.ai nicht das Richtige ist.
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+…
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Flowise — build AI agents visually: an open-source drag-and-drop UI over LangChain and LlamaIndex, with chatflows, agentflows and a marketplace of templates
Create agents that monitor and act on your behalf. Your agents are standing by!
Verwandte Projekte der Kategorie Automatisierung im Katalog, die flowgram.ai bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
Connect APIs, remarkably fast. Free for developers.
WAHA — a WhatsApp HTTP API you can configure in a click: one REST API over WEBJS, NOWEB, GOWS and WPP engines.
Open-Source Chrome extension for AI-powered web automation. Run multi-agent workflows using your own LLM API key. Alternative to OpenAI Operator.
The first open-source agent skills builder. Define skills by vibe workflow, run on Claude Code, Cursor, Codex & more. Build Clawdbot 🦞· APIs for Lovable · Bo…
The open source Zapier alternative. Build workflow automation without spending time and money
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Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.