In Memoria FAQs

Question 1

What problem does In Memoria solve for AI coding assistants?

Accepted Answer

In Memoria solves 'session amnesia' by providing AI coding assistants with persistent memory and learned patterns from your codebase. This eliminates the need to repeatedly explain your project's context, allowing AI to give more relevant, consistent suggestions.

Question 2

What specific patterns does In Memoria learn from my code?

Accepted Answer

It learns various patterns including naming conventions, architectural choices, preferred code structures (e.g., functional vs. object-oriented), and project organization. In Memoria builds a statistical model of your unique coding style.

Question 3

How does In Memoria improve AI assistant performance?

Accepted Answer

By providing deep, persistent context through 17 specialized MCP tools, In Memoria enables AI assistants to offer more accurate, personalized, and relevant suggestions that align precisely with your codebase's unique style and established practices.

Question 4

Is my codebase data kept private with In Memoria?

Accepted Answer

Yes, complete data privacy is ensured. All codebase analysis and learned intelligence are stored locally on your machine using SQLite and SurrealDB. No data is sent to external services.

Question 5

What programming languages does In Memoria support for analysis?

Accepted Answer

In Memoria offers native AST parsing for 12 programming languages. This includes popular choices like TypeScript, JavaScript, Python, Rust, Go, Java, C/C++, C#, Svelte, Vue, and SQL.

In Memoria

In Memoria

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주요 기능

사용 사례