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

Key Features

Use Cases

Key Features

Use Cases