Mem0

Persistent memory infrastructure for AI agents and apps.

Mem0 provides a memory layer for LLM applications and AI agents, enabling them to retain and recall information — user preferences, past interactions, and contextual facts — across sessions. Without a system like Mem0, most LLM-powered applications start each conversation from scratch; Mem0 addresses this by acting as a managed, queryable memory store that sits between the application and the model. It is designed for developers building AI assistants, agents, and chatbots who want to deliver more personalized and context-aware experiences without building their own memory infrastructure. Mem0 stands out in its category through its open-source availability, flexible deployment options (cloud or self-hosted), and support for multiple underlying LLM providers.

Compliance

SOC 2

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Key Features

Persistent memory store: Saves and retrieves facts, preferences, and interaction history across user sessions, so agents and assistants behave as if they remember previous conversations.
Multi-level memory: Supports memory scoped to individual users, sessions, or agents, giving developers fine-grained control over what is remembered and at what level.
LLM-agnostic design: Works with multiple model providers, so teams aren’t locked into a single LLM vendor when building their memory-backed applications.
Simple API: Exposes a clean API for adding, searching, and deleting memories, designed to be easy to integrate into existing agent frameworks and LLM pipelines.
Self-hosted option: Can be deployed on a team’s own infrastructure for organizations that need data sovereignty or cannot send user data to a third-party cloud service.
Open-source core: The core library is open source, allowing developers to inspect, customize, and contribute to the codebase before committing to a paid plan.

Use Cases

For developers building AI assistants: A developer building a customer-facing AI assistant wants it to remember that a user prefers concise answers and has previously raised a specific support issue — Mem0 stores and retrieves this context automatically on each new session.
For teams building long-running AI agents: An engineering team running agents that execute multi-day workflows needs those agents to retain context between runs without passing increasingly long prompts — Mem0 serves as the external memory the agents query and update over time.
For startups wanting a self-hosted option: A startup handling sensitive user data wants memory capabilities without routing personal information through a third-party SaaS — they deploy the open-source version on their own infrastructure.

Pricing MODELS

Freemium

Pricing Summary

Mem0 offers a free tier to get started, a Pro plan at $49/month for individuals or small teams, and custom enterprise pricing for larger organizations. A self-hosted option is also available via the open-source version at no licensing cost.