Docs SOC2 and HIPAA update (#3075)
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<Snippet file="paper-release.mdx" />
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<Snippet file="security-compliance.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.
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<Snippet file="security-compliance.mdx" />
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## Overview
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The `add` operation is how you store memory into Mem0. Whether you're working with a chatbot, a voice assistant, or a multi-agent system, this is the entry point to create long-term memory.
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<Snippet file="security-compliance.mdx" />
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## Overview
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Memories can become outdated, irrelevant, or need to be removed for privacy or compliance reasons.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="security-compliance.mdx" />
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## Overview
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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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<Snippet file="security-compliance.mdx" />
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## Overview
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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="paper-release.mdx" />
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<Snippet file="security-compliance.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.
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