Update Docs (#3315)

2025-08-13 21:37:15 -07:00
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---
-title: Memory Operations
-description: Understanding the core operations for managing memories in AI applications
-icon: "gear"
-iconType: "solid"
---
-
-<Snippet file="blank-notif.mdx" />
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-Mem0 provides two core operations for managing memories in AI applications: adding new memories and searching existing ones. This guide covers how these operations work and how to use them effectively in your application.
-
-
-## Core Operations
-
-Mem0 exposes two main endpoints for interacting with memories:
- The `add` endpoint for ingesting conversations and storing them as memories
- The `search` endpoint for retrieving relevant memories based on queries
-
-### Adding Memories
-
-<Frame caption="Architecture diagram illustrating the process of adding memories.">
-  <img src="../images/add_architecture.png" />
-</Frame>
-
-The add operation processes conversations through several steps:
-
-1. **Information Extraction**
-   * An LLM extracts relevant memories from the conversation
-   * It identifies important entities and their relationships
-
-2. **Conflict Resolution**
-   * The system compares new information with existing data
-   * It identifies and resolves any contradictions
-
-3. **Memory Storage**
-   * Vector database stores the actual memories
-   * Graph database maintains relationship information
-   * Information is continuously updated with each interaction
-
-### Searching Memories
-
-<Frame caption="Architecture diagram illustrating the memory search process.">
-  <img src="../images/search_architecture.png" />
-</Frame>
-
-The search operation retrieves memories through a multi-step process:
-
-1. **Query Processing**
-   * LLM processes and optimizes the search query
-   * System prepares filters for targeted search
-
-2. **Vector Search**
-   * Performs semantic search using the optimized query
-   * Ranks results by relevance to the query
-   * Applies specified filters (user, agent, metadata, etc.)
-
-3. **Result Processing**
-   * Combines and ranks the search results
-   * Returns memories with relevance scores
-   * Includes associated metadata and timestamps
-
-This semantic search approach ensures accurate memory retrieval, whether you're looking for specific information or exploring related concepts.
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-<Snippet file="blank-notif.mdx" />

 ## Overview

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 ## Overview

 Memories can become outdated, irrelevant, or need to be removed for privacy or compliance reasons. Mem0 offers flexible ways to delete memory:
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-<Snippet file="blank-notif.mdx" />
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 ## Overview

 The `search` operation allows you to retrieve relevant memories based on a natural language query and optional filters like user ID, agent ID, categories, and more. This is the foundation of giving your agents memory-aware behavior.
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 ## Overview

 User preferences, interests, and behaviors often evolve over time. The `update` operation lets you revise a stored memory, whether it's updating facts and memories, rephrasing a message, or enriching metadata.
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-<Snippet file="blank-notif.mdx" />
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 To build useful AI applications, we need to understand how different memory systems work together. This guide explores the fundamental types of memory in AI systems and shows how Mem0 implements these concepts.

 ## Why Memory Matters