Memory Cache FAQs

Question 1

What is Memory Cache and how does it work?

Accepted Answer

Memory Cache is a server that reduces language model token consumption by caching data between interactions. It automatically stores and retrieves data, minimizing the need to re-send information, thereby lowering token costs.

Question 2

How does Memory Cache reduce my language model token costs?

Accepted Answer

By caching frequently accessed data like file contents and computation results, Memory Cache eliminates the need to re-process the same information. This reduces the number of tokens used in repeated operations, leading to significant cost savings.

Question 3

How do I install and configure Memory Cache?

Accepted Answer

You can install Memory Cache via Smithery or manually by cloning the repository, installing dependencies, and adding the server configuration to your MCP client settings. Configuration options like maximum cache size and time-to-live (TTL) can be adjusted in the `config.json` file or via environment variables.

Question 4

How can I test if Memory Cache is working correctly?

Accepted Answer

Verify Memory Cache is working by observing faster response times for repeated operations (like reading the same file multiple times) and checking for the "Memory Cache MCP server running on stdio" message in the terminal where you started the server.

Question 5

What are the key features of Memory Cache?

Accepted Answer

Key features include automatic caching of data between language model interactions, reduced token consumption for repeated operations, configurable cache limits and TTL settings, automatic cache management, and tracking cache effectiveness through statistics.

Memory Cache

Memory Cache

Key Features

Use Cases

Key Features

Use Cases