Add Support for Mem0

**Is your feature request related to a problem? Please describe.**
Our current AI assistant implementation lacks an intelligent memory layer, which limits its ability to provide personalized interactions and remember user preferences over time. This results in less efficient and less engaging user experiences, particularly in applications like customer support chatbots and AI assistants.

**Describe the solution you'd like**
We propose integrating Mem0 (https://github.com/mem0ai/mem0) into our AI assistant framework. Mem0 is an intelligent memory layer that enhances AI assistants and agents with the following capabilities:
1. Remembers user preferences and traits
2. Continuously updates over time
3. Provides an OpenAI-compatible API for easy integration
4. Offers advanced memory management to handle long-term context efficiently
5. Provides flexibility in deployment (managed platform or self-hosted solution)

By implementing Mem0 support, we can significantly improve the personalization and efficiency of our AI interactions.

**Describe alternatives you've considered**
1. Developing our own memory management system in-house
2. Using other third-party memory solutions for AI
3. Implementing a simpler, less dynamic memory system

However, Mem0's combination of features, including its OpenAI-compatible API and flexible deployment options, makes it a compelling choice for our needs.

**Additional context**
Mem0 offers two deployment options:
1. A managed platform
2. An open-source solution for self-hosting

Depending on our project requirements and infrastructure, we should evaluate which option would be most suitable for our implementation.

More information about Mem0 can be found on their official website or documentation.

Look at the existing AI assistant framework in the codebase to understand how integrations are structured. Review the Mem0 API documentation and its OpenAI-compatible interface. Determine where to add the memory layer, likely in the agent or chain modules, and design how to store and retrieve user context. A successful integration would allow the assistant to remember and use user preferences across interactions.

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