Automated workflow
Workflow Description
An advanced automated workflow powered by Anthropic AI agents that handles complex tasks with intelligent decision-making. Integrates memory management and reasoning chains to maintain context across operations and execute sequential processes with high accuracy and efficiency.
How it works
- 1.Trigger workflow via manual input or HTTP request endpoint
- 2.Process data through LLM reasoning chain while maintaining contextual memory
- 3.Route intelligent agent to make dynamic decisions based on input parameters
- 4.Split outputs and merge results from parallel processing branches
- 5.Deliver final responses via Webhook or HTTP endpoints
Use cases
- Automate multi-step data processing workflows with conditional logic
- Build context-aware AI assistants that remember conversation history
- Execute complex decision-making processes with minimal human intervention
Requirements
- Valid Anthropic API key configured and authenticated
- HTTP or Webhook endpoints set up for data input and output
- Basic understanding of LLM chains and memory buffer management
Service Value
Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.
Apps Used
Details
How to Use
- 1.Click "Download Template"
- 2.Open your n8n dashboard
- 3.Go to Workflows > Import from File
- 4.Select downloaded file and configure credentials
Nodes Used (38)
When clicking ‘Test workflow’
Manual Trigger
HTTP Request
HTTP Request
Markdown
Markdown
Sticky Note
Sticky Note
Anthropic Chat Model
Lm Chat Anthropic
Anthropic Chat Model1
Lm Chat Anthropic
Anthropic Chat Model2
Lm Chat Anthropic
Anthropic Chat Model3
Lm Chat Anthropic
Merge
Merge
Simple Memory
Memory Buffer Window
Clean memory
Memory Manager
Initial prompts
Set
Split Out
Split Out
Reshape
Set
Sticky Note1
Sticky Note
Anthropic Chat Model4
Lm Chat Anthropic
Merge2
Merge
Sticky Note2
Sticky Note
Basic LLM Chain4
LLM Chain
Split Out1
Split Out
Anthropic Chat Model5
Lm Chat Anthropic
Webhook
Webhook
CONNECT ME
No Op
CONNECT ME1
No Op
CONNECT ME2
No Op
Sticky Note3
Sticky Note
Sticky Note4
Sticky Note
Sticky Note5
Sticky Note
Sticky Note6
Sticky Note
Initial prompts1
Set
LLM Chain - Step 1
LLM Chain
LLM Chain - Step 2
LLM Chain
LLM Chain - Step 3
LLM Chain
LLM Chain - Step 4
LLM Chain
All LLM steps here - sequentially
Agent
LLM steps - parallel
HTTP Request
Merge output with initial prompts
Merge
Merge output with initial prompts1
Merge