Automatisierung
agent-toolkit
A curated collection of skills for AI coding agents. Skills are packaged instructions and scripts that extend agent capabilities across development, document…
★ 2,5 Tsd. SterneMIT
Anleitung ansehen →loopy ist ein Open-Source-Projekt aus der Kategorie Automatisierung von Forward-Future (Forward-Future/loopy auf GitHub). Es hat 3.164 Sterne auf GitHub und 281 Forks, wird unter der Lizenz MIT veröffentlicht und wurde zuletzt am 11. September 2026 auf GitHub aktualisiert.
A library of practical AI-agent loops and an installable skill for finding, adapting, and designing repeatable agent 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.
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.
Call LLMs mid-workflow for decisions and extraction.
Credentials and execution data stay on your infrastructure.
Download the source and move into the project folder.
git clone https://github.com/Forward-Future/loopy.git
cd loopyEvery 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 Forward-Future/loopy with 281 forks. Check the repo's contributors and recent commits to see how active maintenance is.
MIT licensed — use it commercially, no strings attached.
Docker and a small VPS or home server cover most of these.
Same idea, but self-hosted with no per-task pricing.
Most flows are visual; light expressions help for advanced logic.
A curated collection of skills for AI coding agents. Skills are packaged instructions and scripts that extend agent capabilities across development, document…
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
Open-Source Chrome extension for AI-powered web automation. Run multi-agent workflows using your own LLM API key. Alternative to OpenAI Operator.
Offline skill library for building HarmonyOS NEXT apps with AI assistants.
Agent skill for web search and browsing that fights AI hallucinations.
Skill pack that teaches AI assistants to build and fix n8n workflows.
Die anderen Projekte der Kategorie Automatisierung mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls loopy nicht das Richtige ist.
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+…
Langflow — the visual builder for AI agents and workflows: drag-and-drop flows over LangChain components, deployed as APIs or MCP tools, MIT-licensed
A curated list of awesome Claude Skills, resources, and tools for customizing Claude AI workflows
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 loopy bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
An open-source AI agent for social media — find trends, create, publish and learn what works.
Free Open Source Enterprise Grade RPA
A practical, open-source guide to mastering WorkBuddy through real-world workflows.开源的 WorkBuddy 实战蓝皮书：教程、真实工作流、Skills、MCP、自动化与多智能体实践。
A GitHub action to create a pull request for changes to your repository in the actions workspace
Intelligent Skill routing and workflow orchestration for AI agents — +21.12 pp reward, −29.6% tokens on SkillsBench with DeepSeekV4Flash-VE.
Customize your Zotero workflow.
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.