Memory FAQs

Question 1

What are the key features of Memory?

Accepted Answer

Memory's key features include maintaining a persistent graph of entities, enabling creation, retrieval, updating, and deletion of entities, managing relationships between entities in active voice, adding and removing observations over time, and offering powerful search capabilities.

Question 2

What is Memory?

Accepted Answer

Memory is a Model Context Protocol (MCP) server that provides knowledge graph management capabilities for large language models (LLMs). It allows LLMs to maintain persistent memory across conversations by storing and retrieving information about entities and their relationships.

Question 3

What are some use cases for Memory?

Accepted Answer

Some key use cases include long-term memory for AI assistants, knowledge management, relationship tracking, context persistence across sessions, and creating structured journals or daily logs for easy information retrieval.

Question 4

How do I install Memory?

Accepted Answer

You can install Memory either using the one-line installer (curl) or by building it from source. The installer automatically downloads the latest version and adds it to your PATH. Building from source involves cloning the repository and using Swift build.

Question 5

How does Memory help LLMs?

Accepted Answer

Memory helps LLMs by providing a structured way to store and retrieve information, enabling them to remember user preferences, past interactions, and important facts across multiple sessions. This leads to more personalized and context-aware interactions.

Memory

Memory

주요 기능

사용 사례

주요 기능

사용 사례