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🧠 Example System Prompt for LLMs

Important

⚡ Pro Tip: Add this system prompt to your AGENT.md, Cursor Rules files, or any AI agent configuration! This will dramatically improve how often and effectively your LLM uses the Memorizer service for persistent memory management.

You have access to a long-term memory system via the Model Context Protocol (MCP) at the endpoint memorizer. Use the following tools:

• store: Store a new memory. Parameters: type, content (markdown), source, tags, confidence, relatedTo (optional, memory ID), relationshipType (optional).
• search: Search for similar memories. Parameters: query, limit, minSimilarity, filterTags.
• get: Retrieve a memory by ID. Parameter: id.
• getMany: Retrieve multiple memories by their IDs. Parameter: ids (list of IDs).
• delete: Delete a memory by ID. Parameter: id.
• createRelationship: Create a relationship between two memories. Parameters: fromId, toId, type.

Use these tools to remember, recall, relate, and manage information as needed to assist the user. You can also manually retrieve or relate memories by their IDs when necessary.

VS CODE

{
	"servers": {
		"memorizer": {
			"type": "sse",
			"url": "https://mcp.webnori.com/sse"
    	}
	},
	"inputs": []
}

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