LLM Providers

Fresh

Mem0 supports 20+ LLM providers for memory extraction and updates. OpenAI is the default.

Language Support

Python supports all providers. TypeScript currently supports OpenAI, Anthropic, and Groq.

Supported Providers

Provider	Python	TypeScript	Notes
OpenAI	Yes	Yes	Default provider
Anthropic	Yes	Yes	Claude models
Groq	Yes	Yes	Fast inference
Azure OpenAI	Yes	No	Enterprise Azure
Ollama	Yes	No	Local models
Together	Yes	No	Open-source models
Mistral AI	Yes	No	European AI
Google AI	Yes	No	Gemini models
AWS Bedrock	Yes	No	AWS managed
DeepSeek	Yes	No	Coding models
MiniMax	Yes	No	Chinese AI
xAI	Yes	No	Grok models
Sarvam AI	Yes	No	Indian languages
LM Studio	Yes	No	Local GUI
LangChain	Yes	No	Framework bridge
vLLM	Yes	No	High-throughput serving

Configuration

from mem0 import Memory

config = {
    "llm": {
        "provider": "openai",
        "config": {
            "model": "gpt-4.1-mini",
            "temperature": 0.1,
            "max_tokens": 2000,
        }
    }
}

memory = Memory.from_config(config)

Provider Examples

OpenAI

config = {
    "llm": {
        "provider": "openai",
        "config": {
            "model": "gpt-4.1-mini",
            "temperature": 0.1,
        }
    }
}

Anthropic

config = {
    "llm": {
        "provider": "anthropic",
        "config": {
            "model": "claude-sonnet-4-5-20250514",
            "temperature": 0.1,
        }
    }
}

Ollama (Local)

config = {
    "llm": {
        "provider": "ollama",
        "config": {
            "model": "llama3.2",
            "temperature": 0.1,
            "ollama_base_url": "http://localhost:11434",
        }
    }
}

Azure OpenAI

config = {
    "llm": {
        "provider": "azure_openai",
        "config": {
            "model": "gpt-4.1-mini",
            "api_key": "your-azure-key",
            "azure_deployment": "your-deployment",
            "azure_endpoint": "https://your-resource.openai.azure.com/",
            "api_version": "2024-02-01",
        }
    }
}

Together AI

config = {
    "llm": {
        "provider": "together",
        "config": {
            "model": "mistralai/Mixtral-8x7B-Instruct-v0.1",
            "temperature": 0.1,
        }
    }
}

Groq

config = {
    "llm": {
        "provider": "groq",
        "config": {
            "model": "llama-3.1-70b-versatile",
            "temperature": 0.1,
        }
    }
}

Google AI

config = {
    "llm": {
        "provider": "google_ai",
        "config": {
            "model": "gemini-1.5-flash",
            "temperature": 0.1,
        }
    }
}

AWS Bedrock

config = {
    "llm": {
        "provider": "aws_bedrock",
        "config": {
            "model": "anthropic.claude-v2",
            "region": "us-east-1",
        }
    }
}

DeepSeek

config = {
    "llm": {
        "provider": "deepseek",
        "config": {
            "model": "deepseek-chat",
            "temperature": 0.1,
        }
    }
}

Mistral AI

config = {
    "llm": {
        "provider": "mistral_ai",
        "config": {
            "model": "mistral-large-latest",
            "temperature": 0.1,
        }
    }
}

LM Studio

config = {
    "llm": {
        "provider": "lmstudio",
        "config": {
            "model": "lmstudio-community/Meta-Llama-3-8B",
            "lmstudio_base_url": "http://localhost:1234/v1",
        }
    }
}

Output Formats

• Structured outputs -- Formatted JSON responses for data extraction
• Unstructured outputs -- Flexible natural language responses