Update Docs (#3520)
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@@ -8,7 +8,7 @@ iconType: "solid"
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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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The `add` operation stores 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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Memories typically come from a **user-assistant interaction** and Mem0 handles the extraction, transformation, and storage for you.
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@@ -17,7 +17,7 @@ Mem0 offers two implementation flows:
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- **Mem0 Platform** (Managed, scalable, with dashboard + API)
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- **Mem0 Open Source** (Lightweight, fully local, flexible SDKs)
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Each supports the same core memory operations, but with slightly different setup. Below, we walk through examples for both.
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Each supports the same core memory operations, but with slightly different setup.
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## Architecture
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@@ -37,7 +37,7 @@ When you call `add`, Mem0 performs the following steps under the hood:
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3. **Memory Storage**
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The result is stored in a vector database (for semantic search) and optionally in a graph structure (for relationship mapping).
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You don’t need to handle any of this manually, Mem0 takes care of it with a single API call or SDK method.
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You don't need to handle any of this manually - Mem0 takes care of it with a single API call or SDK method.
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---
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@@ -94,7 +94,7 @@ m = Memory()
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messages = [
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{"role": "user", "content": "I'm planning to watch a movie tonight. Any recommendations?"},
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{"role": "assistant", "content": "How about a thriller movies? They can be quite engaging."},
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{"role": "assistant", "content": "How about thriller movies? They can be quite engaging."},
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{"role": "user", "content": "I'm not a big fan of thriller movies but I love sci-fi movies."},
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{"role": "assistant", "content": "Got it! I'll avoid thriller recommendations and suggest sci-fi movies in the future."}
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]
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