rudrajmehta-mem0
8296c06206
Graph Memory was deprecated on April 16, 2026. This removes remaining mentions across docs that could mislead readers into thinking it is still a supported feature. - Platform pages (overview, quickstart, faqs, platform-vs-oss, vibecoding): remove graph memory from feature lists, comparison table, and intro copy - Platform features (platform-overview, mcp-integration, advanced-memory-operations): rephrase "graph-powered retrieval" to "advanced retrieval"; drop "Enable graph memories" tip; remove graph-edge verification step from the metadata example - Core concepts (add, search, memory-types, memory-evaluation): remove "optional graph storage" / "graph features" / "graph writes" / "graph toggles"; drop "graph" from Entity Search description; remove outdated add/search architecture diagrams (replacement pending) - Open source features (overview, rest-api): remove "graph relationships" and "graph backend(s)" from REST server config narrative - API reference (organizations-projects): drop "graph settings" from Update Project Settings description - Cookbooks: remove "Graph Memory on Neptune" card (page removed) and Neptune mention from AWS Bedrock card; remove "Graph Capabilities" bullet from Gemini cookbook; remove graph-memory conditional bullet from controlling-memory-ingestion - CLI: remove --graph / --no-graph flags from mem0 add / mem0 search flag tables and MEM0_ENABLE_GRAPH env var - Images: delete orphan add_architecture.png and search_architecture.png
90 lines
3.5 KiB
Plaintext
90 lines
3.5 KiB
Plaintext
---
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title: "Overview"
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description: "Managed memory layer for AI agents - production-ready in minutes"
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icon: "cloud"
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---
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# Mem0 Platform Overview
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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.
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## Why it matters
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- **Personalized replies**: Memories persist across users and agents, cutting prompt bloat and repeat questions.
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- **Hosted stack**: Mem0 runs the vector store and rerankers—no provisioning, tuning, or maintenance.
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- **Enterprise controls**: Audit logs and workspace governance ship by default for production readiness.
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<AccordionGroup>
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<Accordion title="What you get with Mem0 Platform" icon="sparkles">
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| Feature | Why it helps |
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| --- | --- |
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| Fast setup | Add a few lines of code and you’re production-ready—no vector database or LLM configuration required. |
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| Production scale | Automatic scaling, high availability, and managed infrastructure so you focus on product work. |
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| Advanced features | webhooks, multimodal support, and custom categories are ready to enable. |
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| Enterprise ready | Audit logs, workspace governance, and dedicated support keep security and governance covered. |
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</Accordion>
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</AccordionGroup>
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<Info>
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Start with the <Link href="/platform/quickstart">Platform quickstart</Link> to provision your workspace, then pick the journey below that matches your next milestone.
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</Info>
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## Choose your path
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<CardGroup cols={3}>
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<Card title="Launch Your Workspace" icon="rocket" href="/platform/quickstart">
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Create project and ship first memory.
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</Card>
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<Card title="Connect Any AI Client" icon="puzzle-piece" href="/platform/mem0-mcp">
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Use MCP for universal AI integration.
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</Card>
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<Card title="Understand Memory Types" icon="brain" href="/core-concepts/memory-types">
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User, agent, and session memory behavior.
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</Card>
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</CardGroup>
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<CardGroup cols={3}>
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<Card title="Master Core Operations" icon="circle-check" href="/core-concepts/memory-operations/add">
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Add, search, update, and delete workflows.
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</Card>
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<Card title="Explore Platform Features" icon="sparkles" href="/platform/features/platform-overview">
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async clients and rerankers.
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</Card>
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<Card title="Configure Advanced Operations" icon="bolt" href="/platform/advanced-memory-operations">
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Metadata filters and per-request toggles.
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</Card>
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</CardGroup>
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<CardGroup cols={2}>
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<Card title="Connect Integrations" icon="plug" href="/integrations">
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LangChain, CrewAI, Vercel AI SDK.
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</Card>
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<Card title="Monitor in the Dashboard" icon="presentation" href="https://app.mem0.ai/login?utm_source=oss&utm_medium=platform-overview">
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Track activity and manage workspaces.
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</Card>
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</CardGroup>
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<Tip>
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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.
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</Tip>
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## Keep going
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{/* DEBUG: verify CTA targets */}
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<CardGroup cols={2}>
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<Card
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title="Compare with Open Source"
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description="Review feature parity, migration paths, and when to stay managed."
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icon="arrows-left-right"
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href="/platform/platform-vs-oss"
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/>
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<Card
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title="Run the Quickstart"
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description="Provision your workspace, install the SDK, and persist your first memory."
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icon="rocket"
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href="/platform/quickstart"
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/>
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</CardGroup>
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