LeanKG FAQs

Question 1

What is LeanKG and how does it help AI coding tools?

Accepted Answer

LeanKG is a lightweight, local-first knowledge graph that supplies AI coding tools with accurate and highly token-efficient codebase context. It helps AIs avoid scanning entire codebases, drastically reducing token usage by providing only the most relevant information.

Question 2

How much token saving can I expect with LeanKG?

Accepted Answer

LeanKG can achieve up to 98% token savings for tasks like impact analysis, delivering only 13-42 tokens per query for concise AI context, compared to potentially thousands without it.

Question 3

What programming languages does LeanKG support for indexing?

Accepted Answer

LeanKG indexes multi-language codebases, including Go, TypeScript, Python, Rust, Java, and Kotlin, by leveraging tree-sitter for robust parsing and dependency graph building.

Question 4

Which AI coding assistants and tools integrate with LeanKG?

Accepted Answer

LeanKG seamlessly integrates with popular AI tools such as Claude (Code/Desktop), Cursor AI, OpenCode AI, Gemini CLI, and Kilo Code, providing context via an MCP server and dedicated plugins.

Question 5

Is LeanKG a cloud-based service or does it run locally?

Accepted Answer

LeanKG is a local-first solution. It runs entirely on your machine with minimal resources, ensuring privacy and eliminating the need for cloud services or external databases.

LeanKG

LeanKG

主要功能

使用案例

主要功能

使用案例