You shouldn’t have to restate your preferences, your work, or your context every time you start a new chat.

With Storytell Memory, Storytell now carries important details forward so conversations feel continuous, not reset every time.

Over time, it learns how you like to work, what you’re working on, and what actually matters.

What this unlocks

Storytell can now:

• Remember how you like responses written (tone, format, level of detail)

• Keep track of important facts you’ve shared

• Carry context across chats and projects

• Reduce repetitive back-and-forth

• Adapt responses based on your history, not just your last prompt

Think of it as building context once and letting Storytell reuse it intelligently.

How it behaves

Memory runs quietly in the background.

As you chat, Storytell can:

• Pick up useful signals (like preferences or recurring instructions)

• Organize them into structured memory

• Update or replace outdated information

• Ignore anything that isn’t worth keeping long-term

When you send a new message, it automatically pulls in the right memories to improve the response.

You’re in control

Memory isn’t all-or-nothing.

You can:

• Turn automatic memory collection on or off anytime

• View everything Storytell has remembered about you

• Edit, delete, or archive memories

• Add your own context manually

• Manage multiple memories at once (including merging them)

Built for real workflows

Memory adapts to where context belongs:

• User-level → your personal preferences and working style

• Project-level → context specific to a project

• Organization-level → shared team knowledge (when enabled)

This keeps responses relevant without mixing unrelated context.

A few things to try

• Tell Storytell how you want responses formatted once, then stop repeating it

• Let it learn your current project instead of re-explaining it every chat

• Import structured notes or background to bootstrap your setup

• Periodically review your Memory to keep it clean and accurate

Memory makes Storytell feel less like a tool you prompt, and more like a system that actually knows how you work.