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Lien

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Herramientas para Desarrolladores
Ciencia de Datos y ML
Seguridad y Pruebas

Empower AI coding assistants with local-first, private semantic search and advanced code analysis capabilities across your codebase.

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Lien (French for 'link') provides AI coding assistants with deep understanding of your codebase through 100% local and private semantic search. It indexes your code using local embeddings, serving context via the Model Context Protocol (MCP) to tools like Cursor and Claude Code. Developers can find code by meaning, check impact before refactoring, surface complexity hotspots, and analyze technical debt, all without sending any proprietary code externally. It supports cross-repository search with a Qdrant backend and offers comprehensive code metrics.

Características Principales

01100% Local & Private semantic code search and analysis
02Integrates with MCP-compatible AI assistants like Cursor and Claude Code
03Cross-repository search for organization-wide code understanding
04Impact analysis to find dependents and assess refactoring risk
05Complexity analysis with human-friendly metrics (test paths, mental load, time to understand)
060 GitHub stars

Casos de Uso

01Quickly find relevant code snippets by natural language queries using AI assistants
02Identify and address technical debt by analyzing code complexity and maintainability metrics
03Assess the impact of potential code changes or refactors by identifying all dependents