docs/cookbooks/integrations/openai-tool-calls.mdx
Integrate Mem0’s memory capabilities with OpenAI’s Inbuilt Tools to create AI agents with persistent memory.
npm install mem0ai openai zod
Save your Mem0 and OpenAI API keys in a .env file:
MEM0_API_KEY=your_mem0_api_key
OPENAI_API_KEY=your_openai_api_key
Get your Mem0 API key from the <a href="https://app.mem0.ai/dashboard/api-keys?utm_source=oss&utm_medium=cookbook-openai-tool-calls" rel="nofollow">Mem0 Dashboard</a>.
const USER_ID = "sample-user";
const openAIClient = new OpenAI();
const mem0Client = new MemoryClient({ apiKey: process.env.MEM0_API_KEY });
Store user preferences, past interactions, or any relevant information: <CodeGroup>
async function addUserPreferences() {
const mem0Client = new MemoryClient({ apiKey: process.env.MEM0_API_KEY });
const userPreferences = "I Love BMW, Audi and Porsche. I Hate Mercedes. I love Red cars and Maroon cars. I have a budget of 120K to 150K USD. I like Audi the most.";
await mem0Client.add([{
role: "user",
content: userPreferences,
}], { userId: "sample-user" });
}
await addUserPreferences();
[
{
"id": "ff9f3367-9e83-415d-b9c5-dc8befd9a4b4",
"data": { "memory": "Loves BMW, Audi, and Porsche" },
"event": "ADD"
},
{
"id": "04172ce6-3d7b-45a3-b4a1-ee9798593cb4",
"data": { "memory": "Hates Mercedes" },
"event": "ADD"
},
{
"id": "db363a5d-d258-4953-9e4c-777c120de34d",
"data": { "memory": "Loves red cars and maroon cars" },
"event": "ADD"
},
{
"id": "5519aaad-a2ac-4c0d-81d7-0d55c6ecdba8",
"data": { "memory": "Has a budget of 120K to 150K USD" },
"event": "ADD"
},
{
"id": "523b7693-7344-4563-922f-5db08edc8634",
"data": { "memory": "Likes Audi the most" },
"event": "ADD"
}
]
Search for relevant memories based on the current user input:
const relevantMemories = await mem0Client.search(userInput, { userId: USER_ID });
Define structured response schemas to get consistent output formats:
// Define the schema for a car recommendation
const CarSchema = z.object({
car_name: z.string(),
car_price: z.string(),
car_url: z.string(),
car_image: z.string(),
car_description: z.string(),
});
// Schema for a list of car recommendations
const Cars = z.object({
cars: z.array(CarSchema),
});
// Create a function tool based on the schema
const carRecommendationTool = zodResponsesFunction({
name: "carRecommendations",
parameters: Cars
});
// Use the tool in your OpenAI request
const response = await openAIClient.responses.create({
model: "gpt-5-mini",
tools: [{ type: "web_search_preview" }, carRecommendationTool],
input: `${getMemoryString(relevantMemories)}\n${userInput}`,
});
Combine memory with web search for up-to-date recommendations:
const response = await openAIClient.responses.create({
model: "gpt-5-mini",
tools: [{ type: "web_search_preview" }, carRecommendationTool],
input: `${getMemoryString(relevantMemories)}\n${userInput}`,
});
import MemoryClient from "mem0ai";
import { OpenAI } from "openai";
import { zodResponsesFunction } from "openai/helpers/zod";
import { z } from "zod";
import dotenv from 'dotenv';
dotenv.config();
const USER_ID = "sample-user";
async function run() {
// Responses without memories
console.log("\n\nRESPONSES WITHOUT MEMORIES\n\n");
await main();
// Adding sample memories
await addSampleMemories();
// Responses with memories
console.log("\n\nRESPONSES WITH MEMORIES\n\n");
await main(true);
}
// OpenAI Response Schema
const CarSchema = z.object({
car_name: z.string(),
car_price: z.string(),
car_url: z.string(),
car_image: z.string(),
car_description: z.string(),
});
const Cars = z.object({
cars: z.array(CarSchema),
});
async function main(memory = false) {
const openAIClient = new OpenAI();
const mem0Client = new MemoryClient({ apiKey: process.env.MEM0_API_KEY });
const input = "Suggest me some cars that I can buy today.";
const tool = zodResponsesFunction({ name: "carRecommendations", parameters: Cars });
// Store the user input as a memory
await mem0Client.add([{
role: "user",
content: input,
}], { userId: USER_ID });
// Search for relevant memories
let relevantMemories = []
if (memory) {
relevantMemories = await mem0Client.search(input, { userId: USER_ID });
}
const response = await openAIClient.responses.create({
model: "gpt-5-mini",
tools: [{ type: "web_search_preview" }, tool],
input: `${getMemoryString(relevantMemories)}\n${input}`,
});
console.log(response.output);
}
async function addSampleMemories() {
const mem0Client = new MemoryClient({ apiKey: process.env.MEM0_API_KEY });
const myInterests = "I Love BMW, Audi and Porsche. I Hate Mercedes. I love Red cars and Maroon cars. I have a budget of 120K to 150K USD. I like Audi the most.";
await mem0Client.add([{
role: "user",
content: myInterests,
}], { userId: USER_ID });
}
const getMemoryString = (memories) => {
const MEMORY_STRING_PREFIX = "These are the memories I have stored. Give more weightage to the question by users and try to answer that first. You have to modify your answer based on the memories I have provided. If the memories are irrelevant you can ignore them. Also don't reply to this section of the prompt, or the memories, they are only for your reference. The MEMORIES of the USER are: \n\n";
const memoryString = (memories?.results || memories).map((mem) => `${mem.memory}`).join("\n") ?? "";
return memoryString.length > 0 ? `${MEMORY_STRING_PREFIX}${memoryString}` : "";
};
run().catch(console.error);
```json With Memories
{
"cars": [
{
"car_name": "Audi RS7",
"car_price": "$118,500",
"car_url": "https://www.audiusa.com/us/web/en/models/rs7/2023/overview.html",
"car_image": "https://www.audiusa.com/content/dam/nemo/us/models/rs7/my23/gallery/1920x1080_AOZ_A717_191004.jpg",
"car_description": "The Audi RS7 is a high-performance hatchback with a sleek design, powerful 591-hp twin-turbo V8, and luxurious interior. It's available in various colors including red."
},
{
"car_name": "Porsche Panamera GTS",
"car_price": "$129,300",
"car_url": "https://www.porsche.com/usa/models/panamera/panamera-models/panamera-gts/",
"car_image": "https://files.porsche.com/filestore/image/multimedia/noneporsche-panamera-gts-sample-m02-high/normal/8a6327c3-6c7f-4c6f-a9a8-fb9f58b21795;sP;twebp/porsche-normal.webp",
"car_description": "The Porsche Panamera GTS is a luxury sports sedan with a 473-hp V8 engine, exquisite handling, and available in stunning red. Balances sportiness and comfort."
},
{
"car_name": "BMW M5",
"car_price": "$105,500",
"car_url": "https://www.bmwusa.com/vehicles/m-models/m5/sedan/overview.html",
"car_image": "https://www.bmwusa.com/content/dam/bmwusa/M/m5/2023/bmw-my23-m5-sapphire-black-twilight-purple-exterior-02.jpg",
"car_description": "The BMW M5 is a powerhouse sedan with a 600-hp V8 engine, known for its great handling and luxury. It comes in several distinctive colors including maroon."
}
]
}
```