LeanKG
Active·★ 221·MIT·Updated 2026-10-22
LeanKG is a local-first knowledge graph that provides accurate codebase context to AI coding tools. It indexes code, builds dependency graphs, and exposes an MCP server for direct querying. No cloud services or external databases are required.
LeanKG sits in the Dev Tooling category, so it is usually better judged by workflow fit, deployment style, and team needs than by isolated features alone. Based on the available metadata, it leans most clearly toward Auto-init and setup for multiple AI tools. A representative use case is AI-assisted code impact analysis before changes. The listed license is MIT. GitHub stars are currently 221. Relevant tags include antigravity, claude-code.
#antigravity#claude-code#concise-context#cursor#gemini#graph-database#kilo-code#kn
01
Features
01Auto-init and setup for multiple AI tools
02Token-efficient queries (13-42 tokens vs 10,000+)
03Blast radius (impact analysis) and dependency graph
04MCP server integration with session hooks
05Multi-language support (Go, TypeScript, Python, Rust, Java, Kotlin, Android)
02
Why choose it
+Auto-init and setup for multiple AI tools
+Token-efficient queries (13-42 tokens vs 10,000+)
+AI-assisted code impact analysis before changes
+Supports 7 platforms or runtime environments.
03
Trade-offs
!The final decision should still be made through side-by-side comparison with similar tools.
04
Compatibility
Cursor
Cursor
Verified via docs
Claude Code
Claude Code
Verified via docs
OpenCode
OpenCode
Verified via docs
Kilo Code
Kilo Code
Verified via docs
Gemini CLI
Gemini CLI
Verified via docs
Google Antigravity
Google Antigravity
Verified via docs
05
Quick start
1
$ cargo install leankg
06
Use cases
↳AI-assisted code impact analysis before changes
↳Providing context to AI coding tools during development
↳Visualizing code dependencies and module relationships
07
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