Mem0

Persistent memory for Vercel AI SDK apps

Adds long-term memory to conversational apps built with the Vercel AI SDK. Use it to store and retrieve user context across chats and keep responses consistent over time.

API

Integrations

Memory

B2B

For Developers

Cloud Hosted

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Recent activity

What's happened with Mem0 lately

May 23, 2026
Score change
Rubric upgrade v3_0 → v3.1: score 4/32 → 10/364 → 10/36(+6)
Rubric upgrade: agenticness v3.0 (8 dims, /32) → v3.1 (9 dims, /36). Adds Dim 9 (Operator Sovereignty), splits Dim 6 into 6a/6b lenses, tightens Dim 4 autonomous-retry distinction. Not a product change — score shift reflects new dimension + recalibrated rubric, not a change in the tool. Fanout suppressed.
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About

What It Is

Mem0’s Vercel AI SDK Provider is a developer library for adding persistent memory to chat and agent-style applications built with Vercel AI SDK. It is aimed at developers who want their AI app to remember users, conversations, and other context...

What to Know

This is a memory layer, not a standalone agent product. It helps your application store, retrieve, and inject memory into prompts, but it does not appear to autonomously complete tasks end to end. The docs show support for multiple LLM providers and...

Key Features

Persistent memory storage for conversational AI

Vercel AI SDK v5 integration

Memory-aware text generation

Memory add and retrieval utilities

Structured message format support

Use Cases

Building a chatbot that remembers user preferences across sessions

Adding long-term context to a customer-facing assistant built with Vercel AI SDK

Retrieving prior memories to improve prompt relevance

Agenticness: Guided Assistant

Executes tasks you assign, one step at a time, within narrow domains.

High evidence

Last evaluated: May 23, 2026

Dimension Breakdown

Action Capability

Autonomy

Adaptation

State & Memory

Safety

How agenticness works →

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