Mem0 is a memory engine designed to maintain contextual conversations, ensuring users don't have to repeat themselves and that your agents provide consistent, continuous responses. It offers an adaptive memory solution tailored for teams who want to manage everything on their own infrastructure. You retain full control over the stack, data, and customizations.
To get started, create a virtual environment and install the required dependencies, including the Mem0 library and SambaNova model integration.
- Create a Virtual Environment Run the following commands to set up a virtual environment:
Use python 3.9 or higher
python -m venv .venv
source .venv/bin/activate- Install Dependencies Once the environment is activated, install the necessary packages:
pip install -r requirements.txt SAMBANOVA_API_KEY=<Your SAMBANOVA api key>This integration enables LLM to access persistent memory across conversations, enhancing context retention and personalization. Run the example script with
python main.pyFor more example refer to the official Mem0 documentation.