docs: improve SEO metadata across docs pages
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mintlify[bot]
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---
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title: Advanced Memory Operations
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description: "Run richer add/search/update/delete flows on the managed platform with metadata, rerankers, and per-request controls."
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description: "Run richer add, search, update, and delete flows on the Mem0 Platform using metadata filters, rerankers, and per-request memory controls."
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---
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# Make Platform Memory Operations Smarter
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---
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title: Sign up as an agent
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description: "Let an AI agent create its own Mem0 account and API key in four commands, with no email or dashboard needed."
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description: "Let an AI coding agent create its own Mem0 account and API key from the terminal in four commands, with no email signup or dashboard needed."
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icon: "robot"
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iconType: "solid"
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---
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---
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title: CLI
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description: "Manage memories from your terminal, for both humans and AI agents."
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description: "Use the mem0 CLI to add, search, list, update, and delete memories directly from your terminal, with npm and Python packages for humans and agents."
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icon: "terminal"
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iconType: "solid"
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---
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---
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title: Contribution Hub
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description: "Follow the shared playbook for writing and updating Mem0 documentation."
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description: "Follow the shared playbook for writing, reviewing, and updating Mem0 documentation, including style guidelines, templates, and contributor workflows."
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icon: "clipboard-list"
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---
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---
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title: FAQs
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description: "Frequently asked questions about how Mem0 works, its key features, hybrid database architecture, and memory management."
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description: "Answers to common questions about how Mem0 works, its hybrid database architecture, key memory management features, pricing, and integration options."
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icon: "question"
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iconType: "solid"
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---
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---
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title: Advanced Retrieval
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description: "Advanced memory search with intelligent reranking for precise results"
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description: "Improve memory search precision on the Mem0 Platform with intelligent reranking, keyword search, and filter combinations that surface the best results."
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---
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## What is Advanced Retrieval?
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---
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title: Async Client
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description: "Use the AsyncMemoryClient for non-blocking memory operations in high-concurrency Python applications."
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description: "Use the AsyncMemoryClient to run non-blocking add, search, and delete memory operations in high-concurrency Python and asyncio applications."
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---
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The `AsyncMemoryClient` is an asynchronous client for interacting with the Mem0 API. It provides similar functionality to the synchronous `MemoryClient` but allows for non-blocking operations, which can be beneficial in applications that require high concurrency.
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---
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title: Custom Instructions
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description: 'Control how Mem0 extracts and stores memories using natural language guidelines'
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description: 'Guide Mem0 Platform memory extraction with natural language project-level instructions that decide what conversation details to store or ignore.'
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---
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## What are Custom Instructions?
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---
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title: Direct Import
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description: 'Bypass the memory deduction phase and directly store pre-defined memories for efficient retrieval'
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description: 'Skip the memory inference step and store pre-defined memories directly using the infer parameter for fast bulk ingestion and predictable retrieval.'
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---
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## How to Use Direct Import
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---
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title: Entity-Scoped Memory
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description: Scope conversations by user, agent, app, and session so memories land exactly where they belong.
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description: Scope memories by user_id, agent_id, app_id, and run_id so you can separate data across users, agents, and sessions with clean audit trails.
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---
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Mem0's Platform API lets you separate memories for different users, agents, and apps. By tagging each write and query with the right identifiers, you can prevent data from mixing between them, maintain clear audit trails, and control data retention.
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---
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title: Feedback Mechanism
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description: "Provide positive or negative feedback on generated memories to continuously improve accuracy and search results."
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description: "Send positive, negative, or neutral feedback on generated memories through the Mem0 API to continuously refine extraction accuracy and search quality."
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---
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Mem0's Feedback Mechanism allows you to provide feedback on the memories generated by your application. This feedback is used to improve the accuracy of the memories and search results.
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---
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title: Group Chat
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description: 'Enable multi-participant conversations and scope each speaker with user_id or agent_id'
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description: 'Store multi-participant conversations in Mem0 and attribute each turn to the right user_id or agent_id for team meetings and multi-agent workflows.'
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---
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## Overview
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---
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title: Memory Decay
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description: "Boost recently-used memories and gently dampen stale ones at search time, without filtering anything out."
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description: "Boost recently accessed memories and gently dampen stale ones at search time with Mem0 memory decay, keeping every memory available for future queries."
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---
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# Memory Decay
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---
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title: Memory Export
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description: 'Export memories in a structured format using customizable Pydantic schemas'
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description: 'Export Mem0 memories into structured JSON using customizable Pydantic schemas, with filters to narrow exports by user, agent, session, or metadata.'
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---
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## Overview
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---
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title: Multimodal Support
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description: Integrate images and documents into your interactions with Mem0
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description: Add images, PDFs, and other documents alongside text on the Mem0 Platform so agents can extract and recall insights from mixed visual content.
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---
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Mem0 extends its capabilities beyond text by supporting multimodal data, including images and documents. With this feature, users can seamlessly integrate visual and document content into their interactions, allowing Mem0 to extract relevant information from various media types and enrich the memory system.
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---
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title: Memory Timestamps
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description: 'Add timestamps to your memories to maintain chronological accuracy and historical context'
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description: 'Attach custom timestamps to Mem0 memories so you can import historical data, preserve accurate chronological ordering, and query by time ranges.'
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---
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## Overview
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---
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title: Memory Filters
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description: Query and retrieve memories with powerful filtering capabilities. Filter by users, agents, content, time ranges, and more.
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description: Query Mem0 memories with the v2 filter syntax to combine users, agents, categories, and time ranges using logical operators for precise retrieval.
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---
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> Memory filters provide a flexible way to query and retrieve specific memories from your memory store. You can filter by users, agents, content categories, time ranges, and combine multiple conditions using logical operators.
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---
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title: Webhooks
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description: 'Configure and manage webhooks to receive real-time notifications about memory events'
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description: 'Configure project-level webhooks in Mem0 to receive real-time HTTP notifications when memories are added, updated, or deleted in your workspace.'
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---
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## Overview
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---
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title: "Mem0 MCP"
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description: "Connect any AI client to Mem0 using Model Context Protocol in minutes"
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description: "Connect Claude, Cursor, and other AI clients to Mem0 through the Model Context Protocol server so agents can add and search memories in minutes."
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icon: "puzzle-piece"
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estimatedTime: "~2 minutes"
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---
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---
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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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description: "Mem0 Platform is the fully managed memory layer for AI agents and chat apps, adding personalized long-term context in minutes with no infrastructure."
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icon: "cloud"
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---
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---
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title: "Platform vs Open Source"
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description: "Compare Mem0 Platform and Open Source to choose the right solution for managed hosting or self-hosted deployment."
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description: "Compare Mem0 Platform and Open Source across hosting, features, pricing, and control to pick between managed memory or self-hosted deployment."
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icon: "code-compare"
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---
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---
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title: Quickstart
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description: "Set up your Mem0 Platform account, install the SDK, and store your first memory in under five minutes."
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description: "Create a Mem0 Platform account, grab your API key, install the Python or Node SDK, and store and search your first memory in under five minutes."
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icon: "bolt"
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iconType: "solid"
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---
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