MCPFast / Tools / Lien: Local semantic code search for AI coding assistants
Lien indexes your code locally with embeddings for semantic search, providing context without external data transmission.
View on GitHub→Lien is a developer tool designed to enhance AI coding assistants by providing local, semantic code search capabilities. It indexes your codebase using embeddings, allowing AI agents to query and retrieve relevant code snippets based on meaning rather than just keywords. This ensures that AI assistants have precise, context-aware information directly from your project, without sending your code to external services. Lien is built for developers who prioritize data privacy and efficient AI integration into their workflows.
Lien operates by creating vector embeddings of your code files. These embeddings capture the semantic meaning of the code, enabling sophisticated search queries. When an AI coding assistant needs context from your project, Lien can perform a semantic search against its local index. This means the AI can find code that is functionally similar or conceptually related, even if the exact wording differs. The entire indexing and search process happens on your local machine, guaranteeing that your proprietary code never leaves your environment.
Lien is an essential tool for AI developers , software engineers , and teams working with AI coding assistants. If you are concerned about the privacy of your codebase or need to ensure your AI tools have the most accurate and relevant context from your projects, Lien is for you. It's particularly beneficial for projects with sensitive intellectual property or complex codebases where traditional keyword search is insufficient. Developers looking to build more intelligent and context-aware AI agents will find Lien invaluable.