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Connect AI coding assistants to your local codebase for semantic Q&A.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Lien" yet — see the docs or source repo.
In this codebase, find the implementation related to user login. Explain the key files, main functions, and how they call each other.
Returns the most relevant code locations for login and summarizes the implementation structure clearly.
What does the payment module do in this project? Based on the codebase, summarize its main responsibilities, entry points, and dependencies.
Produces a structured explanation of the module’s responsibilities to speed up code understanding.
I want to modify the caching logic. Find code snippets related to cache reads, writes, and invalidation, and rank them by relevance.
Provides semantically ranked code results to support further changes and investigation.
When developers inherit a new project, they can ask natural-language questions about implementation locations and module relationships instead of manually digging through files. Semantic search helps surface relevant code faster.
Teams that prefer local execution can connect AI coding assistants to a codebase on the same machine and perform search-based Q&A locally. This helps fit code understanding into existing development workflows.
When a feature needs changes, developers can describe it in natural language and let the tool surface the most relevant files and implementation clues. This narrows the investigation scope more quickly.
Lien connects AI coding assistants such as Cursor and Claude Code to your codebase through MCP. It lets you ask questions in natural language and returns precise code-related answers via semantic search.
Based on the description, Lien’s semantic search and Q&A workflow run on your local machine. For more implementation details, see the source repository.
The provided information only states that it connects AI coding assistants to a codebase through MCP. For installation steps, supported environments, and any extra configuration, see the source repository.
Combine web search and local RAG for private AI help in Cursor.
Index repositories and retrieve precise code snippets for coding agents efficiently.
Search codebases semantically and find relevant snippets with source locations.
Query multiple AI models for code reviews, debates, and diverse perspectives.
Search and cite documentation accurately with hybrid semantic and keyword retrieval.
Connect Claude with Codex CLI for AI collaboration and code review.