Knot is a high-performance codebase indexer designed to facilitate AI agents' understanding of source code. It extracts structural and semantic information from various programming languages including Java, Kotlin, TypeScript, Rust, and more. With its dual-database architecture, Knot leverages a vector search database for semantic understanding and a graph database for structural navigation, providing tools for code intelligence such as hybrid context search and reverse dependency lookup. The CLI and MCP server tools enhance integration with AI clients, allowing for efficient code analysis and navigation.

Knot supports a wide range of programming languages and build systems, making it versatile for modern development environments. Features like real-time watch mode for incremental indexing, rich comment extraction, and cross-repository dependency linking ensure that developers can maintain and analyze large codebases effectively. The program is licensed under MIT, making it accessible for both personal and commercial use.