Автоматизация
n8n
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+…
★ 206,6 тыс. звёздCustom (check repo)
Смотреть руководство →Automatisch — проект с открытым исходным кодом из категории «Автоматизация» от automatisch (automatisch/automatisch на GitHub). У него 13 985 звёзд на GitHub и 1 062 форка, он распространяется по лицензии Custom (check repo) и последний раз обновлялся на GitHub 11 февраля 2026.
The open source Zapier alternative. Build workflow automation without spending time and money
Link the services you already use — chat, email, sheets, CRMs, databases — 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, and transform data between steps.
Pipe steps through language models for classification, extraction, summarising, or drafting — most platforms here treat AI as just another node.
Turn the workflow on, watch executions in the run history, and get alerted when something fails.
Design automations on a canvas instead of writing glue code for every integration.
Prebuilt connectors for popular apps plus HTTP, webhooks, and database nodes for everything else.
Your credentials and execution data stay on your infrastructure — no third-party middleman.
Call LLMs mid-workflow for decisions, extraction, and content generation.
Cron schedules, webhooks, and event triggers keep flows running around the clock.
Open-source means the automation itself is free; you only pay for your own server.
Download the source and move into the project folder.
git clone https://github.com/automatisch/automatisch.git
cd automatischUse the package manager the project specifies (check for pnpm or yarn lockfiles).
npm installLaunch the dev server or build, per the README.
npm run devThe core software is open-source and free to self-host. Managed cloud versions exist for most of these if you would rather not run a server.
Most flows are built visually. Light expressions or code nodes help for advanced logic, but simple automations need none.
It is an open-source project at automatisch/automatisch with 1,062 forks. Check the repo's contributors and recent commits to see how active maintenance is.
Same idea — triggers and actions across apps — but self-hosted, with AI steps first-class and no per-task pricing.
Typically Docker and a small VPS or home server; several offer one-command installs.
Yes — LLM nodes are standard, working with hosted APIs or your own local models.
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