Index1

关于

Index1 serves as a persistent, AI-native project knowledge base designed to significantly enhance the capabilities of AI coding agents. It offers an offline-first solution for indexing code with a powerful BM25 + vector hybrid search, ensuring rapid response times under 200ms. By intelligently returning only top-ranked results, Index1 drastically reduces context window usage for large language models, making AI assistants more efficient and informed across development sessions without needing to re-read entire files. It integrates seamlessly with MCP-compatible tools like Claude Code and Cursor, running entirely on your local machine with zero configuration.

主要功能

• Significant context window savings for LLMs (90%+)
• MCP server compatibility for seamless integration with AI tools
• BM25 + vector hybrid search with Reciprocal Rank Fusion
• 2 GitHub stars
• Offline-first operation with local SQLite storage
• Persistent project memory for AI assistants

使用案例

• Accelerating contextual code retrieval and reducing LLM token usage for developers
• Providing persistent memory and context for AI coding agents
• Integrating a powerful knowledge base with MCP-compatible AI development tools