Memory FAQs

Question 1

What is the Model Context Protocol (MCP)?

Accepted Answer

MCP is a standard for enabling LLMs to access and utilize external knowledge sources, like Memory. It ensures seamless integration between the LLM and the memory server.

Question 2

Is Memory scalable?

Accepted Answer

Yes, Memory is designed to handle multiple requests and scale to meet the needs of your growing AI applications. It is built for robust performance even under heavy load.

Question 3

What is Memory?

Accepted Answer

Memory is a server that implements the Model Context Protocol (MCP) to give Large Language Models (LLMs) long-term memory. It allows LLMs to retain information across extended conversations and interactions.

Question 4

How do I integrate Memory into my application?

Accepted Answer

Memory offers a user-friendly API. You can store context using a POST request to `/store` and retrieve context using a GET request to `/retrieve`, providing a model ID for each interaction.

Question 5

What kind of search is used to retrieve memories?

Accepted Answer

Memory uses semantic search. This means it understands the meaning of your query and retrieves memories that are conceptually similar, even if they don't contain the exact same words.

Memory

Key Features

Use Cases

Memory

Key Features

Use Cases