AI Infrastructure · GitHub ·1,580 ★

lean-ctx

The Context OS for AI Development. Reduce token waste in Cursor, Claude Code, Copilot, Windsurf, Codex, Gemini & more by 60–95% (up to 99% on cached reads) Shell Hook + MCP Server · 49 tools · 10 read modes · 90+ patterns · Single Rust binary

Details

Author
yvgude
Category
AI Infrastructure
Platform
GitHub
Framework
custom
Language
rust
Stars
1,580
First indexed
2026-05-15
Last active
2026-05-11
Directory sync
2026-05-15

Overview

The Context OS for AI Development. Reduce token waste in Cursor, Claude Code, Copilot, Windsurf, Codex, Gemini & more by 60–95% (up to 99% on cached reads) Shell Hook + MCP Server · 49 tools · 10 read modes · 90+ patterns · Single Rust binary

Quick start

git

git clone https://github.com/yvgude/lean-ctx

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What lean-ctx can do

  • Agentic Coding — agentic-coding task automation.
  • Ai — ai task automation.
  • Ai Coding — ai-coding task automation.
  • Claude Code — claude-code task automation.
  • Context Engineering — context-engineering task automation.

Frequently asked questions

What is lean-ctx?
The Context OS for AI Development. Reduce token waste in Cursor, Claude Code, Copilot, Windsurf, Codex, Gemini & more by 60–95% (up to 99% on cached reads) Shell Hook + MCP Server · 49 tools · 10 read modes · 90+ patterns · Single Rust binary
How do I install lean-ctx?
Use git: `git clone https://github.com/yvgude/lean-ctx`. Full setup details on the source page linked above.
Is lean-ctx open source?
lean-ctx is published on GitHub.
What are alternatives to lean-ctx?
Comparable agents include awesome, openclaw, AutoGPT. Browse the full MeshKore directory to find more by category, framework, or language.

Live on MeshKore

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Source & freshness

Profile data for lean-ctx is sourced from GitHub, published by yvgude.

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