Added improved docs index and overview pages and quickstart (#3603)
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Parth Sharma
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---
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title: Introduction
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icon: "book"
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iconType: "solid"
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title: "Welcome to Mem0"
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description: "Memory layer for AI agents"
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mode: "custom"
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---
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<Info>
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Check out our [research paper](https://mem0.ai/research) to learn about the technical foundations and innovations behind Mem0's memory architecture.
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</Info>
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{/* debug: welcome-layout-v2 */}
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Mem0 is a memory layer designed for modern AI agents. It acts as a persistent memory layer that agents can use to:
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<div className="px-4 pt-16 pb-12 lg:pt-20 max-w-4xl mx-auto text-center space-y-4">
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<h1 className="text-3xl lg:text-4xl font-bold text-gray-900 dark:text-zinc-50 tracking-tight mb-3">
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Build with <span className="text-primary">mem0</span>
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</h1>
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- Recall relevant past interactions
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- Store important user preferences and factual context
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- Learn from successes and failures
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<p className="max-w-2xl mx-auto text-base text-gray-600 dark:text-zinc-400 leading-relaxed">
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Universal, Self-improving memory layer for LLM applications.
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</p>
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It gives AI agents memory so they can remember, learn, and evolve across interactions. Mem0 integrates easily into your agent stack and scales from prototypes to production systems.
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<a
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href="/platform/quickstart"
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className="inline-flex items-center gap-1 text-sm text-gray-500 dark:text-zinc-500 hover:text-primary dark:hover:text-primary transition-colors"
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>
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Write your first memory
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<span className="group-hover:translate-x-0.5 transition-transform">→</span>
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</a>
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</div>
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<section className="px-4 max-w-6xl mx-auto space-y-4">
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<div className="text-center">
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<h2 className="text-xl font-semibold text-gray-900 dark:text-zinc-100">
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Mem0 Products
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</h2>
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</div>
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## Stateless vs. Stateful Agents
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<CardGroup cols={3}>
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<Card title="Mem0 Platform" icon="rocket" href="/platform/overview">
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Managed memory with production-scale infrastructure, ready in minutes.
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</Card>
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Most current agents are stateless: they process a query, generate a response, and forget everything. Even with huge context windows, everything resets the next session.
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<Card title="Mem0 Open Source" icon="code-branch" href="/open-source/overview">
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Self-host the Mem0 stack for full control over data, deployment, and customization.
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</Card>
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Stateful agents, powered by Mem0, are different. They retain context, recall what matters, and behave more intelligently over time.
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<Card title="OpenMemory" icon="brain" href="/openmemory/overview">
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Workspace-based memory for teams collaborating across agents and projects.
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</Card>
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<Frame>
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<img src="/images/stateless-vs-stateful-agent.png" />
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</Frame>
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</CardGroup>
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</section>
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<section className="px-4 pt-12 pb-20 max-w-6xl mx-auto space-y-4">
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<div className="text-center">
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<h2 className="text-xl font-semibold text-gray-900 dark:text-zinc-100">
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Developer Resources
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</h2>
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</div>
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## Where Memory Fits in the Agent Stack
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<CardGroup cols={3}>
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<Card title="Cookbooks" icon="book-open" href="/examples">
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Production-ready tutorials that show how to ship memorable AI experiences.
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</Card>
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Mem0 sits alongside your retriever, planner, and LLM. Unlike retrieval-based systems (like RAG), Mem0 tracks past interactions, stores long-term knowledge, and evolves the agent’s behavior.
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<Card title="Integrations" icon="plug" href="/integrations">
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Connect Mem0 to LangChain, CrewAI, Vercel AI SDK, and 20+ partner frameworks.
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</Card>
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<Frame>
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<img src="/images/memory-agent-stack.png" />
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</Frame>
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<Card title="API reference" icon="terminal" href="/api-reference">
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Explore every REST endpoint with payload examples and usage guidance.
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</Card>
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Memory isn't about pushing more tokens into a prompt—it's about intelligently remembering context that matters. This distinction is important:
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| Capability | Context Window | Mem0 Memory |
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|------------------|------------------------|-----------------------------|
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| Retention | Temporary | Persistent |
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| Cost | Grows with input size | Optimized (only what matters) |
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| Recall | Token proximity | Relevance + intent-based |
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| Personalization | None | Deep, evolving profile |
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| Behavior | Reactive | Adaptive |
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## Memory vs. RAG: Complementary Tools
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RAG (Retrieval-Augmented Generation) is great for fetching facts from documents. But it’s stateless. It doesn’t know who the user is, what they’ve asked before, or what failed last time.
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Mem0 provides continuity. It stores decisions, preferences, and context—not just knowledge.
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| Aspect | RAG | Mem0 Memory |
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|--------------------|-------------------------------|-------------------------------|
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| Statefulness | Stateless | Stateful |
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| Recall Type | Document lookup | Evolving user context |
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| Use Case | Ground answers in data | Guide behavior across time |
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Together, they're stronger: RAG informs the LLM while Mem0 shapes its memory.
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## Types of Memory in Mem0
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Mem0 supports different types of memory to mimic how humans store information:
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- **Working Memory**: short-term session awareness
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- **Factual Memory**: long-term structured knowledge (e.g., preferences, settings)
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- **Episodic Memory**: records specific past conversations
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- **Semantic Memory**: builds general knowledge over time
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## Why Developers Choose Mem0
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Mem0 isn’t a wrapper around a vector store. It’s a full memory engine with:
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- **LLM-based extraction**: Intelligently decides what to remember
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- **Filtering & decay**: Avoids memory bloat, forgets irrelevant info
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- **Cost Reduction**: Save compute costs with smart prompt injection of only relevant memories
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- **Dashboards & APIs**: Observability, fine-grained control
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- **Cloud and OSS**: Use our platform version or our open-source SDK version
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Plug Mem0 into your agent framework—it doesn't replace your LLM or workflows. Instead, it adds a smart memory layer on top.
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## Core Capabilities
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- **Reduced token usage and faster responses**: sub-50 ms lookups
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- **Semantic memory**: procedural, episodic, and factual support
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- **Multimodal support**: handle both text and images
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- **Graph memory**: connect insights and entities across sessions
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- **Host your way**: either a managed service or a self-hosted version
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## Getting Started
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Mem0 offers two powerful ways to leverage our technology: our [managed platform](/platform/overview) and our [open source solution](/open-source/overview).
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<CardGroup cols={3}>
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<Card title="Quickstart" icon="rocket" href="/quickstart">
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Integrate Mem0 in a few lines of code
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</Card>
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<Card title="Playground" icon="play" href="https://app.mem0.ai/playground">
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Mem0 in action
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</Card>
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<Card title="Examples" icon="lightbulb" href="/examples">
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See what you can build with Mem0
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</Card>
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</CardGroup>
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## Need help?
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If you have any questions, please feel free to reach out to us using one of the following methods:
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<Snippet file="get-help.mdx"/>
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</CardGroup>
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</section>
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