AgentKits Memory FAQs

Question 1

How does AgentKits Memory integrate with AI coding assistants?

Accepted Answer

It integrates via an MCP (Multi-Client Protocol) server, offering tools like `memory_save`, `memory_search`, and `memory_recall`. This allows AI assistants (like those compatible with Claude, Cursor, Copilot) to actively manage and utilize stored memories.

Question 2

What kind of information can be stored in AgentKits Memory?

Accepted Answer

You can store various types of memories, including architectural decisions, reusable code patterns, solutions to common errors, project-specific context, and session observations, categorized for efficient retrieval.

Question 3

What is AgentKits Memory?

Accepted Answer

AgentKits Memory is a fast, local, and persistent memory system designed for AI coding assistants. It allows them to store and recall crucial information like decisions, patterns, and errors across different coding sessions, enhancing their long-term knowledge and context.

Question 4

Is data stored locally or in the cloud with AgentKits Memory?

Accepted Answer

All data is stored 100% locally on your machine. AgentKits Memory operates with no external dependencies, cloud connections, or API keys, ensuring complete privacy and control over your data.

Question 5

Does it help reduce token usage for AI models?

Accepted Answer

Yes, AgentKits Memory employs a 3-layer progressive disclosure search pattern. This method significantly reduces token consumption (up to 70% savings) by returning lightweight indexes first, allowing the AI to fetch full content only for the most relevant memories.

AgentKits Memory

AgentKits Memory

概要

主な機能

ユースケース

概要

主な機能

ユースケース