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Author SHA1 Message Date
Himanshu-Sangshetti 7cad2a808f docs(vercel): list all injected env vars (API key, org id, project id, base url) 2026-08-24 21:40:13 +05:30
Himanshu-Sangshetti 7454a99820 docs: add integrations/vercel to llms.txt coverage 2026-08-24 21:22:03 +05:30
Himanshu-Sangshetti 9b049ba8ef docs(integrations): add Vercel Marketplace (managed) integration page 2026-08-24 21:14:22 +05:30
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"integrations/google-ai-adk",
"integrations/mastra",
"integrations/vercel-ai-sdk",
"integrations/vercel",
"integrations/chatdev",
"integrations/strands"
]
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---
title: Vercel
description: "Add persistent memory to your Vercel apps with the Mem0 Vercel Marketplace integration. Install from the Marketplace, get an API key, and start building."
---
The **Mem0 Vercel integration** provisions managed Mem0 access directly from the [Vercel Marketplace](https://vercel.com/marketplace). Installing it creates a Mem0 account for you and injects a `MEM0_API_KEY` into your Vercel project, so you can add long-term memory to your AI apps and agents in minutes, with no separate signup and billing handled through Vercel.
<Note type="info">
This is the managed Marketplace integration. If you instead want to use Mem0 with the Vercel AI SDK in code, see [Vercel AI SDK](/integrations/vercel-ai-sdk).
</Note>
## Overview
When you install Mem0 from the Vercel Marketplace:
- A Mem0 account and project are created for you (Vercel Native).
- Mem0 environment variables (`MEM0_API_KEY`, `MEM0_ORG_ID`, `MEM0_PROJECT_ID`, `MEM0_BASE_URL`) are added to your connected Vercel project.
- Billing is handled through your Vercel account, with no separate Mem0 subscription.
You call Mem0 from your app with the injected key. There is nothing else to wire up.
## Install
<Steps>
<Step title="Add the integration">
From the [Vercel Marketplace](https://vercel.com/marketplace), find **Mem0** and click **Install**. Choose **Create New Mem0 Account** (Vercel Native).
</Step>
<Step title="Pick a plan">
Select **Hobby** (free) or **Starter** ($20/month). You can change this anytime from the installation settings in your Vercel dashboard.
</Step>
<Step title="Connect a project">
Connect the Mem0 resource to a Vercel project. Mem0 injects its environment variables into that project.
</Step>
<Step title="Redeploy">
Redeploy so the variables are available at runtime, or run `vercel env pull` to use them locally.
</Step>
</Steps>
## Environment variables
The integration sets the following on your connected project:
| Variable | Description |
| --- | --- |
| `MEM0_API_KEY` | Your Mem0 API key, scoped to the org and project created for this installation. This is what you authenticate with. |
| `MEM0_ORG_ID` | The Mem0 organization id for this installation. |
| `MEM0_PROJECT_ID` | The Mem0 project id for this installation. |
| `MEM0_BASE_URL` | The Mem0 API base URL (`https://api.mem0.ai`). |
The API key is scoped to your org and project, so the SDK needs only `MEM0_API_KEY` to get started.
## Quickstart
Install the SDK:
<CodeGroup>
```bash npm
npm install mem0ai
```
```bash pip
pip install mem0ai
```
</CodeGroup>
Add and search memories using the injected key:
<CodeGroup>
```typescript JavaScript
import MemoryClient from "mem0ai";
const memory = new MemoryClient({ apiKey: process.env.MEM0_API_KEY });
// Store a memory
await memory.add(
[{ role: "user", content: "I'm a vegetarian and allergic to nuts." }],
{ userId: "user123" },
);
// Retrieve relevant memories
const results = await memory.search("What are my dietary restrictions?", {
filters: { user_id: "user123" },
});
console.log(results);
```
```python Python
import os
from mem0 import MemoryClient
memory = MemoryClient(api_key=os.environ["MEM0_API_KEY"])
# Store a memory
memory.add(
[{"role": "user", "content": "I'm a vegetarian and allergic to nuts."}],
user_id="user123",
)
# Retrieve relevant memories
results = memory.search("What are my dietary restrictions?", filters={"user_id": "user123"})
print(results)
```
</CodeGroup>
See the [platform quickstart](/platform/quickstart) for the full API.
## Plans and billing
| Plan | Price | Memories | Retrieval calls | Projects | Support |
| --- | --- | --- | --- | --- | --- |
| Hobby | Free | 10,000 | 1,000 / month | 1 | Community |
| Starter | $20 / month | 50,000 | 5,000 / month | 1 | Community |
Billing runs through your Vercel account; Mem0 never charges your card directly. You can upgrade or downgrade anytime from the installation's settings in the Vercel dashboard.
## Managing the integration
- **Change plan:** open the installation in your Vercel dashboard and update the billing plan.
- **Open in Mem0:** use the **Open in Mem0** link to sign in to the Mem0 dashboard for this installation.
- **Uninstall:** removing the integration deactivates the API key and tears down the resource. Any usage for the current period is invoiced before removal.
## Notes
- The integration creates a **new** Mem0 account for the installation. Linking an existing Mem0 account is not supported yet.
- The injected `MEM0_API_KEY` is scoped to the org and project created for this installation, so you do not manage keys by hand.
## Related
- [Platform quickstart](/platform/quickstart)
- [Vercel AI SDK integration](/integrations/vercel-ai-sdk)
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- [Mastra](https://docs.mem0.ai/integrations/mastra) [Platform]: Use when the user is on Mastra (TypeScript).
- [OpenClaw](https://docs.mem0.ai/integrations/openclaw) [Both]: Use when wiring Mem0 into Claude Code or editors via OpenClaw.
- [Vercel AI SDK](https://docs.mem0.ai/integrations/vercel-ai-sdk) [Both]: Use when the user is on the Vercel AI SDK.
- [Vercel](https://docs.mem0.ai/integrations/vercel) [Platform]: Use when deploying on Vercel and installing Mem0 from the Vercel Marketplace.
- [Strands Agents](https://docs.mem0.ai/integrations/strands) [Both]: Use when the user is on AWS Strands and wants a native MemoryStore.
### AI Coding Tools