4ff9c1204b
The progress stream forwarded from a sub-workflow to the parent's canvas was effectively unthrottled. The previous guard only suppressed consecutive `nodeExecuteBefore` events for the same node with no intervening `nodeExecuteAfter` — a sequence the engine does not produce — so steady state was two messages per child node execution. Each of those is a pubsub broadcast in scaling mode and a full canvas re-map in the editor, so a looping child workflow could emit thousands of messages for one run. Replace it with a trailing-edge throttle: the leading edge still emits immediately so the overlay appears at once, subsequent events inside the window coalesce into a single pending snapshot, and a trailing timer sends the latest state. The overlay only renders the running node name, an "X / Y" counter and a bar, so intermediate states are disposable. A 200-iteration child now emits two messages instead of ~400. `workflowExecuteAfter` drops any pending snapshot, since the finished event clears the overlay outright. Also stop forwarding progress for nested sub-workflows. Only the workflow open on the canvas renders the overlay, so a grandchild's parent node is not on screen and the editor discarded those messages anyway. Resolving the direct parent's pushRef instead of walking the whole ancestor chain removes that wasted traffic and simplifies the lookup. Tests now exercise real engine before/after sequences rather than the synthetic double-`nodeExecuteBefore` the old throttle keyed on. Co-Authored-By: Claude <noreply@anthropic.com> |
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| agent-harness.lock.json | ||
| AGENTS.md | ||
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| CODE_OF_CONDUCT.md | ||
| codecov.yml | ||
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| OWNERS | ||
| package.json | ||
| pnpm-lock.yaml | ||
| pnpm-workspace.yaml | ||
| README.md | ||
| SECURITY.md | ||
| tsconfig.configs.json | ||
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| vitest.workspace.ts | ||
n8n – The Platform for AI Agents and Workflow Automation
Fair-code platform to build and deploy AI agents and workflows. Combine a visual canvas with custom code, run it self-hosted or in the cloud, and connect to 1500+ integrations. AI automation you can trust with real work, from prototype to production.
Key Capabilities
- AI-Native Automation Platform: Build and operationalize AI workflows and multi-step agents using your own data, models, and tools
- Model Flexibility, No Lock-In: Connect to OpenAI, Anthropic, Google, or open-source models and switch providers without changing your architecture
- From Prototype to Production: Design multi-step AI workflows with logic, tool use, human approvals, and full observability
- Code When You Need It: Combine visual building with JavaScript, Python, and npm packages for advanced AI workflows
- Enterprise-Ready AI: Self-host or deploy securely with role-based access, audit trails, and support for sensitive data
- Leverage What Already Exists: 1500+ integrations and 9,000+ workflow templates to connect AI with your existing systems
Quick Start
Try n8n instantly with our install script (requires Docker):
curl -fsSL https://get.n8n.io | sh
Or deploy manually with Docker:
docker volume create n8n_data
docker run -it --rm --name n8n -p 5678:5678 -v n8n_data:/home/node/.n8n docker.n8n.io/n8nio/n8n
Access the editor at http://localhost:5678
Resources
- 📚 Documentation
- 🔧 1500+ Integrations
- 💡 Example Workflows
- 🤖 AI & LangChain Guide
- 👥 Community Forum
- 📖 Community Tutorials
Support
Need help? Our community forum is the place to get support and connect with other users: community.n8n.io
License
n8n is fair-code distributed under the Sustainable Use License and n8n Enterprise License.
- Source Available: Always visible source code
- Self-Hostable: Deploy anywhere
- Extensible: Add your own nodes and functionality
Enterprise Licenses available for additional features and support.
Additional information about the license model can be found in the docs.
Contributing
Found a bug 🐛 or have a feature idea ✨? Check our Contributing Guide for a setup guide & best practices.
Join the Team
Want to shape the future of automation? Check out our job posts and join our team!
What does n8n mean?
Short answer: It means "nodemation" and is pronounced as n-eight-n.
Long answer: "I get that question quite often (more often than I expected) so I decided it is probably best to answer it here. While looking for a good name for the project with a free domain I realized very quickly that all the good ones I could think of were already taken. So, in the end, I chose nodemation. 'node-' in the sense that it uses a Node-View and that it uses Node.js and '-mation' for 'automation' which is what the project is supposed to help with. However, I did not like how long the name was and I could not imagine writing something that long every time in the CLI. That is when I then ended up on 'n8n'." - Jan Oberhauser, Founder and CEO, n8n.io