Ready-to-use system prompt templates that teach your AI to use Memory Store effectively. Copy, customize, and paste into your AI settings.

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:

1. overview - Loads active context at chat start (required first step)

2. recall - Searches past conversations semantically

3. record - Saves new information to memory

4. 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]

Communication Preferences:

Communication style I prefer:
- [Direct/Detailed/Casual/Professional]
- [Technical depth level]
- [Brevity vs. explanation preference]

Context That Matters:

Important context about me:
- Current focus: [What you're working on]
- Goals: [What you're trying to achieve]
- Constraints: [Time, resources, preferences]
- Team/Collaborators: [Who you work with]

Full Personalization Example:

My name is Alex Chen
I'm a Senior Backend Engineer at TechCorp
Location: San Francisco, PST timezone

Communication style:
- I prefer direct, technical responses
- Show me code examples over theoretical explanations
- I value efficiency over comprehensive explanations

Current context:
- Working on: Memory Store API (Python + FastAPI)
- Team: 4 engineers, I'm the tech lead
- Current sprint: OAuth 2.1 implementation
- Key technologies: PostgreSQL, Redis, Docker

Preferences:
- I prefer async/await over callbacks
- Use type hints in all Python code
- Follow clean architecture patterns
- I work best early morning (6-9am)

[THEN paste your chosen Memory Store template below this]

Why This Matters:

✅ Better context: AI understands your role and tailors advice

✅ Accurate recall: Memory Store can reference "you" with proper context

✅ Personalized responses: Communication style matches your preferences

✅ Relevant suggestions: Recommendations fit your actual situation

Tip: Keep this section updated as your role, projects, or preferences change.

Tell Your AI How You Use Memory Store

Before diving into templates, help your AI understand your workflow. Add this to your system prompt:

Example for Developers:

Example for Content Creators:

Example for Support Teams:

Why this helps: Your AI learns your context boundaries, prevents assumptions, and knows when to recall vs. infer.

📋 Choose Your Template

Each template is optimized for specific use cases. Click to expand, then copy-paste into your AI's system instructions.

How to Customize Your Template

Step 1: Pick Your Base Template

Choose the template closest to your use case above.

Step 2: Add Your Specific Context

Customize with your personal/project details:

Example for Developers:

Example for Creatives:

Step 3: Adjust Recording Priorities

Modify the "Auto-Record Priority" list to match what you care about.

Step 4: Test & Iterate

1. Paste template into your AI's system settings

2. Have a few conversations

3. Notice what works and what doesn't

4. Adjust the template

5. Use the feedback tool to report issues

Best Practices for All Templates

1. Always Run Overview First

Non-negotiable. Every conversation must start with overview. This loads active context, recent decisions, and relevant entities.

2. Rich Background Context is Critical

The quality of recalls depends entirely on background context.

❌ Bad: recall(cues=["API"])

✅ Good: recall(cues=["API", "authentication", "OAuth"], background="Implementing OAuth flow, need our auth architecture decisions and endpoint patterns")

3. Evaluate Every Recall

After each recall, ask:

• "Did this give me what I needed?"

• "Was it relevant and complete?"

• If no → use feedback tool immediately

4. Record Immediately, Not Later

Don't wait until end of conversation. Record important info as soon as it's shared.

5. Use Feedback Liberally

Feedback helps the system learn. Report:

• Irrelevant recall results

• Missing important context

• Low-quality retrievals

• What worked well (positive feedback)

Common Patterns

New Information Flow:

User shares something → AI records immediately → Confirms

Recall Flow:

User mentions past topic → AI recalls with rich background → Evaluates results → Answers (or uses feedback if poor)

Tool Failure Flow:

Tool returns error → AI continues conversation → Mentions failure → Uses feedback if data wrong

FAQ - Quick Answers

Q: Do I need to say "remember this"?

A: No. With these templates, AI auto-records important info. But you can say it for emphasis.

Q: Which template should I start with?

A: Universal Base if you're new. Switch later if needed.

Q: Can I combine templates?

A: Yes! Mix elements. Example: Developer + Project Manager for technical leads.

Q: Why is background context so important?

A: It's like asking a librarian. "Books about Python" (vague) vs "Debugging Flask middleware error, need configuration patterns" (specific). Better context = better retrieval.

Q: How do I know if Memory Store is working?

A: AI will say: "Your Memory Store shows..." or "From our previous conversation..." If not, check connection.

Q: What if recall returns wrong info?

A: AI should use feedback tool to report it. You can also explicitly say "that recall was wrong."

Q: Does Memory Store work across different AI apps?

A: Yes! Context from Claude Desktop carries over to Cursor, Raycast, etc.

Q: Are there rate limits?

A: Yes, but generous. Normal usage won't hit them.

Get Help & Share Feedback

Join the Community

Discord: discord.gg/6Cd3Zah5vW

• Get troubleshooting help

• Share your custom templates

• Learn from other users

• Discuss best practices

Provide Feedback on This Guide

Help us improve these templates! Use the feedback tool:

Please provide feedback: [Your experience with these templates]

Example feedback:

• "Developer template works great, but would love examples for microservices"

• "Personal Assistant template helped me track birthdays perfectly"

• "Rating: 8/10 - Templates are clear, but need more customization examples"

Tip: The more feedback we get, the better these templates become for everyone!

This guide was created with Memory Store assistance—Memory Store helped maintain consistency across templates, track best practices, and ensure quality improvements were integrated throughout.