Ready-to-use system prompt templates that teach your AI to use Memory Store effectively. Copy, customize, and paste into your AI settings.
For setup instructions, see the User Guide or platform-specific guides: Claude/ChatGPT, Cursor, Raycast.
Why This Guide Exists
Memory Store is powerful, but your AI needs proper instructions to use it well. This guide provides battle-tested system prompt templates that:
- Tell your AI when to recall vs. record
- Teach how to provide rich background context for better retrieval
- Train your AI to evaluate recall quality and provide feedback
- Ensure overview runs first in every conversation
The Goal: Help you craft system prompts that make Memory Store feel seamless and intelligent.
How Memory Store Works (Quick Primer)
Memory Store has 4 core tools your AI can call:
- overview - Loads active context at chat start (required first step)
- recall - Searches past conversations semantically
- record - Saves new information to memory
- feedback - Reports retrieval quality to improve the system
The Secret to Great Recalls: Background Context
Most important insight: Recall quality depends on the background context you provide.
Vague: recall(cues=["Python"])
Specific: recall(cues=["Python", "Flask", "middleware"], background="Debugging Flask app error, need middleware configuration patterns")
The templates below teach your AI to provide rich background automatically.
Personalize Your Prompt: Add Your Context First
Before pasting any template, add your personal context at the very top of your system prompt. This helps your AI understand WHO you are and tailor responses accordingly.
What to Include:
Basic Identity:
```
My name is [Your Name]
I'm a [Your Role/Profession]
I work at/on: [Company/Project]
Location/Timezone: [Your location]