n8n-workflow-patterns

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Proven workflow architectural patterns from real n8n workflows. Use when building new workflows, designing workflow structure, choosing workflow patterns, planning workflow architecture, or asking about webhook processing, HTTP API integration, database operations, AI agent workflows, or scheduled tasks.

AI & Automation 27,705 stars 2858 forks Updated today MIT

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# n8n Workflow Patterns Proven architectural patterns for building n8n workflows. --- ## The 5 Core Patterns Based on analysis of real workflow usage: 1. **[Webhook Processing](webhook_processing.md)** (Most Common) - Receive HTTP requests → Process → Output - Pattern: Webhook → Validate → Transform → Respond/Notify 2. **[HTTP API Integration](http_api_integration.md)** - Fetch from REST APIs → Transform → Store/Use - Pattern: Trigger → HTTP Request → Transform → Action → Error Handler 3. **[Database Operations](database_operations.md)** - Read/Write/Sync database data - Pattern: Schedule → Query → Transform → Write → Verify 4. **[AI Agent Workflow](ai_agent_workflow.md)** - AI agents with tools and memory - Pattern: Trigger → AI Agent (Model + Tools + Memory) → Output 5. **[Scheduled Tasks](scheduled_tasks.md)** - Recurring automation workflows - Pattern: Schedule → Fetch → Process → Deliver → Log --- ## Pattern Selection Guide ### When to use each pattern: **Webhook Processing** - Use when: - Receiving data from external systems - Building integrations (Slack commands, form submissions, GitHub webhooks) - Need instant response to events - Example: "Receive Stripe payment webhook → Update database → Send confirmation" **HTTP API Integration** - Use when: - Fetching data from external APIs - Synchronizing with third-party services - Building data pipelines - Example: "Fetch GitHub issues → Transform → Create Jira tickets" **Databas...

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Author
davila7
Repository
davila7/claude-code-templates
Created
11 months ago
Last Updated
today
Language
Python
License
MIT

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