The conversation history(last 20 messages) is stored in a buffer memory
Configured with Agent, LM Chat Ollama, Manual Chat Trigger, Memory Buffer Window, and additional nodes. Review the connections and setup before adapting this template.
Node categories in this workflow
- Trigger
- Integration
- Data store
- AI & models
- Web / API
Icons describe general node roles, inferred from node types. Inspect the parameters for the configured action.
Drag to pan; use + and − to zoom. Reconstructed from the exported node positions; nothing runs here. Dashed lines represent non-main connections. Full node names and notes appear below.
How it works
The exported workflow contains the following configured nodes. Their connections are shown above; inspect the JSON for the complete logic, expressions, and external actions.
| Node | Category | Type | Operation |
|---|---|---|---|
| On new manual Chat Message | Trigger | Manual Chat Trigger | See node parameters |
| Wikipedia | Integration | Tool Wikipedia | See node parameters |
| Window Buffer Memory | Data store | Memory Buffer Window | See node parameters |
| AI Agent | AI & models | Agent | See node parameters |
| Weather HTTP Request | Web / API | Tool Http Request | See node parameters |
| Ollama Chat Model | AI & models | LM Chat Ollama | See node parameters |
Setup
- Download the JSON and import it into an isolated n8n instance. Leave the workflow inactive.
- Connect your own credentials through n8n’s credential store. Replace
REPLACE_WITH_*values with your resource identifiers. - Inspect API destinations, Code nodes, database queries, file paths, and outbound actions.
- Run with synthetic data and harmless destinations. Enable triggers only after checking the actual outputs.
Requirements
An n8n instance with the listed node types and compatible versions. Service-connected workflows may require accounts, credentials, or paid APIs.
Credential types declared in the source
ollamaApi
Workflow notes
In System Message, add the following.
In System Message, add the following.
"You are a helpful assistant, with weather tool and wiki tool. find out the latitude and longitude information of a location then use the weather tool for current weather and weather forecast. For general info, use the wiki tool."
The conversation history(last 20 messages) is stored in a buffer memory
The conversation history(last 20 messages) is stored in a buffer memory
Purpose and structure
This folder contains the The conversation history(last 20 messages) is stored in a buffer memory workflow. Its executable nodes use agent, lmChatOllama, manualChatTrigger, memoryBufferWindow, toolHttpRequest, toolWikipedia. The table and connection map below are derived from the JSON, not an inferred guarantee of behavior.
Setup
Import inactive. Configure your own credentials and replace REPLACE_WITH_* values. Review external destinations and Code nodes before running.
Entry points
On new manual Chat Message
Verification
Sanitized source candidate; not runtime-tested. This overview is generated from node metadata. Read the folder README for the connection map, credential types, and license.
Attribution
https://github.com/Zie619/n8n-workflows/blob/94007c1445d9258a7da116646b79473e7c7c3282/workflows/Stickynote/0727_Stickynote_Create_Webhook.json MIT; preserve source notices.
Canvas section labels
These name areas of the original canvas; they do not include explanatory instructions.
- The conversation history(last 20 messages) is stored in a buffer memory
- Tools which agent can use to accomplish the task
- Conversational agent will utilise available tools to answer the prompt.