Connect Workflowy and Ollama to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Workflowy
Choose an Action
Automatically do this!
Generate Response
Generate Chat Message
List All Models
Enable Integrations or automations with these events of Workflowy and Ollama
Enable Integrations or automations with these events of Workflowy and Ollama
Actions
Create Node
Create a new node with a title and note; optionally set its parent (ID, date, keyword like inbox/today/tomorrow/next_week/calendar, or URL), position, and layout mode.
Update Node
Update a node's name, note, or layout mode.
Get Nodes
Retrieve nodes from your outline: fetch a specific node by ID or link, list a parent's child nodes, or export all workspace nodes.
Delete Node
Permanently remove a node from your WorkFlowy outline. This cannot be undone.
Generate Response
Generate text from a prompt
Generate Chat Message
Create assistant reply
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Frequently Asked Questions
To start, connect both your Workflowy and Ollama accounts to viaSocket. Once connected, you can set up a workflow where an event in Workflowy triggers actions in Ollama (or vice versa).
Absolutely. You can customize how Workflowy data is recorded in Ollama. This includes choosing which data fields go into which fields of Ollama, setting up custom formats, and filtering out unwanted information.
The data sync between Workflowy and Ollama typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Workflowy and Ollama. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
About Workflowy
Workflowy is the place to collect your ideas, develop them, share them, and turn them into reality.
Learn MoreAbout Ollama
A tool to install, run, and manage local large language models on your machine.
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