Add Mem0 as AI SDK Provider

[whysosaket]

Relates to

N/A

Risks

Medium

Background

What does this PR do?

Here's a more polished version of your PR description:

---

What does this PR do?

This PR adds Mem0 as a provider in the Vercel AI SDK. The Mem0 AI SDK Provider functions like any other provider in the AI SDK but introduces a separate memory layer for users.

Mem0 is a self-improving memory layer for LLM applications.

Integration Features:

1. Memory Saving – Stores relevant information based on user queries.
2. Personalized Search – Retrieves stored memories to generate context-aware response
3. ** Retain Memory Across Agents and Conversations ** - Mem0 also enables users to retain memory across different agents and conversations.

What kind of change is this?

Features (non-breaking change which adds functionality)

Why are we doing this? Any context or related work?

Integrating Mem0 into Eliza provides developers with a powerful memory layer for their AI applications, enhancing efficiency and user experience. As an independent memory layer, Mem0 also enables users to retain memory across different agents and conversations.

• Vercel AI SDK Docs: Mem0 Provider

• Mem0 Official Docs For AI SDK: Vercel AI SDK Integration

• Mem0 GitHub Repository: mem0ai/mem0

Although this PR provides a basic Mem0 implementation focused on user memory, we also plan to develop another integration that emphasizes agentic memory, allowing characters to persist across different agents and their memories.

Documentation changes needed?

My changes do not require a change to the project documentation.

Testing

I tested the integration by running a character using 'mem0' as modelProvider

Where should a reviewer start?

Reviewers can begin by examining the changed files in this PR:

• Review all modified files (ensuring they follow complete TypeScript types).
• Create or edit a character to use Mem0 as the modelProvider.

Detailed testing steps

1. Set up a character configuration with the following:

   {
     --- Other Settings ---  
     "modelProvider": "mem0",  
     --- Other Settings ---  
   }

2. Configure the Mem0 API keys by adding the following environment variables:

   Mem0 Configuration

   MEM0_API_KEY= # Mem0 API Key (Get for Free from (Mem0 Dashboard)[https://app.mem0.ai/dashboard/api-keys)]
   MEM0_USER_ID= # Default: eliza-os-user  
   MEM0_PROVIDER= # Default: openai  
   MEM0_PROVIDER_API_KEY= # API Key for the provider (openai, anthropic, etc.)  
   SMALL_MEM0_MODEL= # Default: gpt-4o-mini  
   MEDIUM_MEM0_MODEL= # Default: gpt-4o  
   LARGE_MEM0_MODEL= # Default: gpt-4o  
   

3. Rebuild Eliza, initialize it, and run the application.

Discord username

whysosaket

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[github-actions]

Hi @whysosaket! Welcome to the elizaOS community. Thanks for submitting your first pull request; your efforts are helping us accelerate towards AGI. We'll review it shortly. You are now an elizaOS contributor!

[whysosaket]

Hi @martincik @maxime can you please review this?