Index1 FAQs

Question 1

How can Index1 integrate with existing AI coding tools?

Accepted Answer

Index1 integrates seamlessly with various AI tools through its MCP server, making it compatible with platforms like Claude Code, Cursor, Windsurf, and other MCP-compatible tools. It also offers a robust CLI mode for integration with any AI agent or custom workflow.

Question 2

What is Index1 and its primary purpose?

Accepted Answer

Index1 is an offline-first, AI-native project knowledge base specifically designed for coding agents. Its primary purpose is to provide persistent project memory, enabling AI assistants to remember code across sessions and quickly retrieve relevant information using a powerful hybrid search.

Question 3

Is Ollama required to use Index1?

Accepted Answer

Ollama is optional but highly recommended. While Index1 can fall back to BM25-only keyword search without Ollama, installing it enables powerful vector-based semantic search, cross-language capabilities, and significantly faster cold query performance.

Question 4

How does Index1 help save LLM context window tokens?

Accepted Answer

Index1 significantly reduces LLM context window usage by returning only the most relevant, top-k ranked code chunks (typically around 500 tokens) for a query. This can lead to 90%+ context window savings compared to traditional search methods that might return thousands of lines.

Question 5

Is Index1 truly offline and private?

Accepted Answer

Yes, Index1 is designed for offline-first operation. It runs entirely on your local machine using local SQLite storage, meaning no cloud services, API keys, or internet connection are required for its core functionality, ensuring maximum data privacy and control.

Index1

Index1

Key Features

Use Cases

Key Features

Use Cases