BigRack FAQs

Question 1

Is BigRack secure and private?

Accepted Answer

Yes, BigRack is built with a local-first architecture. All data, including project context and vector embeddings, is stored exclusively on your machine using SQLite, ensuring 100% local operation and zero cloud dependency for maximum privacy.

Question 2

What kind of project information can BigRack manage and retrieve?

Accepted Answer

BigRack manages structured project context, including business rules, glossary terms, architecture patterns, and team conventions. This information is semantically searchable using local vector embeddings and RAG for intelligent, natural language queries.

Question 3

Which AI assistants are compatible with BigRack?

Accepted Answer

BigRack is designed to extend AI development tools such as Claude Code and Cursor through its Model Context Protocol (MCP). It's built to be compatible with any AI assistant that supports the MCP standard.

Question 4

What key features does BigRack offer?

Accepted Answer

BigRack offers MCP Protocol integration with AI assistants, intelligent task decomposition with dependency graphs, persistent context management via semantic search and RAG, and a privacy-first, 100% local-first architecture.

Question 5

What is BigRack and how does it help AI development?

Accepted Answer

BigRack is an MCP server that extends AI development tools like Claude Code and Cursor with advanced task/project management and persistent context. It prevents context loss, enhances planning, and provides AI with long-term memory for complex projects.

BigRack

BigRack

主要功能

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主要功能

使用案例