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---
title: "Overview"
description: "Managed memory layer for AI agents - production-ready in minutes"
description: "Managed memory layer for AI agents, production-ready in minutes"
icon: "cloud"
---
# Mem0 Platform Overview
Mem0 Platform is the fully managed memory layer for your AI apps and agents. Your users stop repeating themselves and your agents keep context across sessions, with no vector store, reranker, or infrastructure to run.
Mem0 is the memory engine that keeps conversations contextual so users never repeat themselves and your agents respond with continuity. Mem0 Platform delivers that experience as a fully managed service: scaling, securing, and enriching memories without any infrastructure work on your side.
## Why teams pick the Platform
## Why it matters
- **Personalized replies.** Memories persist across users and agents, cutting prompt bloat and repeat questions.
- **Zero infrastructure.** Mem0 runs the vector store and rerankers, so there is nothing to provision, tune, or maintain.
- **Enterprise-ready.** Audit logs and workspace governance ship by default.
- **Personalized replies**: Memories persist across users and agents, cutting prompt bloat and repeat questions.
- **Hosted stack**: Mem0 runs the vector store and rerankers: no provisioning, tuning, or maintenance.
- **Enterprise controls**: Audit logs and workspace governance ship by default for production readiness.
## How it works
<Steps>
<Step title="Add">
Send Mem0 your messages and conversations.
</Step>
<Step title="Extract and store">
Mem0 distills them into facts and links entities across memories.
</Step>
<Step title="Recall">
At query time, Mem0 returns only the most relevant memories.
</Step>
</Steps>
For the full pipeline, see [How Mem0 works](/core-concepts/how-it-works).
<AccordionGroup>
<Accordion title="What you get with Mem0 Platform" icon="sparkles">
| Feature | Why it helps |
| --- | --- |
| Fast setup | Add a few lines of code and you’re production-ready: no vector database or LLM configuration required. |
| Fast setup | Add a few lines of code and you're production-ready, with no vector database or LLM configuration required. |
| Production scale | Automatic scaling, high availability, and managed infrastructure so you focus on product work. |
| Advanced features | webhooks, multimodal support, and custom categories are ready to enable. |
| Advanced features | Webhooks, multimodal support, and custom categories are ready to enable. |
| Enterprise ready | Audit logs, workspace governance, and dedicated support keep security and governance covered. |
</Accordion>
</AccordionGroup>
<Info>
Start with the <Link href="/platform/quickstart">Platform quickstart</Link> to provision your workspace, then pick the journey below that matches your next milestone.
</Info>
## Choose your path
<CardGroup cols={3}>
<Card title="Launch Your Workspace" icon="rocket" href="/platform/quickstart">
Create project and ship first memory.
</Card>
<Card title="Connect Any AI Client" icon="puzzle-piece" href="/platform/mem0-mcp">
Use MCP for universal AI integration.
</Card>
<Card title="Understand Memory Types" icon="brain" href="/core-concepts/memory-types">
User, agent, and session memory behavior.
</Card>
</CardGroup>
<CardGroup cols={3}>
<Card title="Master Core Operations" icon="circle-check" href="/core-concepts/memory-operations/add">
Add, search, update, and delete workflows.
</Card>
<Card title="Explore Platform Features" icon="sparkles" href="/platform/features/platform-overview">
async clients and rerankers.
</Card>
<Card title="Configure Advanced Operations" icon="bolt" href="/platform/advanced-memory-operations">
Metadata filters and per-request toggles.
</Card>
</CardGroup>
## Explore the Platform
<CardGroup cols={2}>
<Card title="Connect Integrations" icon="plug" href="/integrations">
LangChain, CrewAI, Vercel AI SDK.
<Card title="How Mem0 works" icon="diagram-project" href="/core-concepts/how-it-works">
The extraction and retrieval pipeline, end to end.
</Card>
<Card title="Monitor in the Dashboard" icon="presentation" href="https://app.mem0.ai/login?utm_source=oss&utm_medium=platform-overview">
Track activity and manage workspaces.
<Card title="Run the quickstart" icon="rocket" href="/platform/quickstart">
Get an API key and save your first memory.
</Card>
<Card title="Understand memory types" icon="brain" href="/core-concepts/memory-types">
How user, agent, run, and session memory differ.
</Card>
<Card title="Add, search, and update" icon="layer-group" href="/core-concepts/memory-operations/add">
The core memory operations, end to end.
</Card>
</CardGroup>
<Tip>
Evaluating self-hosting instead? Jump to the <Link href="/platform/platform-vs-oss">Platform vs OSS comparison</Link> to see trade-offs before you commit.
Deciding whether to self-host? Compare hosting models in the <Link href="/platform/platform-vs-oss">Platform vs OSS guide</Link>, or switch tabs to the Open Source docs to run Mem0 yourself.
</Tip>
## Keep going
{/* DEBUG: verify CTA targets */}
<CardGroup cols={2}>
<Card
title="Compare with Open Source"
description="Review feature parity, migration paths, and when to stay managed."
icon="arrows-left-right"
href="/platform/platform-vs-oss"
/>
<Card
title="Run the Quickstart"
description="Provision your workspace, install the SDK, and persist your first memory."
icon="rocket"
href="/platform/quickstart"
/>
</CardGroup>