Memory lets you tell the agent something once and have it remembered in every future conversation. Brand colors, company name, tone of voice, preferred tech stack, deployment preferences. Anything you would otherwise re-explain every time you start a new chat. Every time the agent starts a new task, it checks its memory first. If you have saved preferences, it already knows them before you say anything.Documentation Index
Fetch the complete documentation index at: https://docs.runable.com/llms.txt
Use this file to discover all available pages before exploring further.
How memory works
You tell the agent what to remember in any conversation. The agent stores it, and from that point on, every new chat starts with those preferences loaded. Memory is tied to your account. It persists until you delete it.What to save to memory
Memory works best for things you would otherwise repeat in every conversation:| What to save | Example |
|---|---|
| Brand identity | Company name, colors, fonts, logo guidelines |
| Tone and voice | Professional but approachable, no buzzwords, direct |
| Design preferences | Always dark mode, rounded corners, minimal layout |
| Business context | What your company does, who your customers are |
| Technical defaults | Preferred frameworks, deployment setup, coding style |
| Contact info | Address, phone, social handles for marketing materials |
Save preferences by talking to the agent
Tell the agent what to remember in plain language. It stores the information automatically.Save your brand identity to memory
Save your design preferences to memory
Save your client context to memory
Update or change preferences
Preferences change. Tell the agent and it updates memory.Update an existing preference in memory
What memory stores
Memory supports two types of content:- Text - up to 5,000 characters per entry. Preferences, instructions, context, notes.
- Images - with optional captions. Logos, brand assets, reference designs.
Next steps
Managing your memory
Search, list, and delete specific memories.
Skills overview
Learn how skills give the agent specialized workflows for different tasks.