自動化
n8n
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+…
★ 206.6k スターCustom (check repo)
ガイドを見る →Activepiecesは、activepiecesが公開しているオープンソースの自動化プロジェクトです（GitHub: activepieces/activepieces）。GitHubスターは24,878、フォークは4,292で、Custom (check repo)ライセンスの下で公開されています。GitHubでの最終更新は2026年10月3日です。
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI…
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/activepieces/activepieces.git
cd activepiecesUse the package manager the project specifies (check for pnpm or yarn lockfiles).
npm installLaunch the dev server or build, per the README.
npm run devReaders working through the Automation shelf also stop at OwnPilot, Privacy-first personal AI assistant with autonomous agents and many providers. Also on this shelf: nudgebee — unified CloudOps with AI agents for SRE, FinOps, and Kubernetes operations. The Automation shelf also holds flutter-skill — Natural-language E2E testing across 10 platforms with 253 MCP tools.
The 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 activepieces/activepieces with 4,292 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.
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+…
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LibreAIカタログに掲載された自動化プロジェクトの中で最もスターの多いもの — Activepiecesが合わなかった場合に検討したい、現実的な候補リストです。
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+…
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カタログの中でActivepiecesとスター数が近い自動化プロジェクト — 前後の棚もそのまま見て回れます。
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