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

About

Key Features

Use Cases

About

Key Features

Use Cases