Agno Mem0Tools update (#3139)

docs/integrations/agno.mdx

@@ -3,7 +3,8 @@ title: Agno
 ---
 <Snippet file="security-compliance.mdx" />
 
-Integrate [**Mem0**](https://github.com/mem0ai/mem0) with [Agno](https://github.com/agno-agi/agno), a Python framework for building autonomous agents. This integration enables Agno agents to access persistent memory across conversations, enhancing context retention and personalization.
+
+This integration of [**Mem0**](https://github.com/mem0ai/mem0) with [Agno](https://github.com/agno-agi/agno, enables persistent, multimodal memory for Agno-based agents - improving personalization, context awareness, and continuity across conversations.
 
 ## Overview
 
@@ -11,6 +12,7 @@ Integrate [**Mem0**](https://github.com/mem0ai/mem0) with [Agno](https://github.
 2. Support for multimodal interactions (text and images)
 3. Semantic search for relevant past conversations
 4. Personalized responses based on user history
+5. One-line memory integration via `Mem0Tools`
 
 ## Prerequisites
 
@@ -18,14 +20,41 @@ Before setting up Mem0 with Agno, ensure you have:
 
 1. Installed the required packages:
 ```bash
-pip install agno-ai mem0ai
+pip install agno mem0ai
 ```
 
 2. Valid API keys:
    - [Mem0 API Key](https://app.mem0.ai/dashboard/api-keys)
    - OpenAI API Key (for the agent model)
 
-## Integration Example
+## Quick Integration (Using `Mem0Tools`)
+
+The simplest way to integrate Mem0 with Agno Agents is to use Mem0 as a tool using built-in `Mem0Tools`:
+
+```python
+from agno.agent import Agent
+from agno.models.openai import OpenAIChat
+from agno.tools.mem0 import Mem0Tools
+
+agent = Agent(
+    name="Memory Agent",
+    model=OpenAIChat(id="gpt-4o-mini"),
+    tools=[Mem0Tools()],
+    description="An assistant that remembers and personalizes using Mem0 memory."
+)
+```
+
+This enables memory functionality out of the box:
+
+- **Persistent memory writing**: `Mem0Tools` uses `MemoryClient.add(...)` to store messages from user-agent interactions, including optional metadata such as user ID or session.
+- **Contextual memory search**: Compatible queries use `MemoryClient.search(...)` to retrieve relevant past messages, improving contextual understanding.
+- **Multimodal support**: Both text and image inputs are supported, allowing richer memory records.
+
+> `Mem0Tools` uses the `MemoryClient` under the hood and requires no additional setup. You can customize its behavior by modifying your tools list or extending it in code.
+
+## Full Manual Example
+
+> Note: Mem0 can also be used with Agno Agents as a separate memory layer.
 
 The following example demonstrates how to create an Agno agent with Mem0 memory integration, including support for image processing:
 
@@ -39,7 +68,6 @@ from agno.media import Image
 from agno.models.openai import OpenAIChat
 from mem0 import MemoryClient
 
-
 # Initialize the Mem0 client
 client = MemoryClient()
 
@@ -162,6 +190,8 @@ Improve your agent's context awareness:
 
 Customize the integration to your needs:
 
+- **Use `Mem0Tools()`** for drop-in memory support
+- **Use `MemoryClient` directly** for advanced control
 - **User Identification**: Organize memories by user ID
 - **Memory Search**: Configure search relevance and result count
 - **Memory Formatting**: Support for various OpenAI message formats