KrystianJonca

KrystianJonca / lnai

Public

Unified AI configuration management CLI

lnai.sh
230
1
100% credibility
Found Feb 03, 2026 at 177 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

LNAI synchronizes a single unified configuration directory to native formats for multiple AI coding tools like Claude Code, Cursor, and Copilot.

How It Works

1
🔍 Hear about LNAI

You discover a simple way to stop juggling separate setups for your AI coding helpers.

2
📥 Grab the helper

You pick up the free tool that keeps everything in one place.

3
🧠 Build your central hub

You create a single spot for all your project rules, instructions, and permissions.

4
✏️ Add your smarts

You write guidelines, skills, and safe zones that fit your project perfectly.

5
✅ Double-check setup

You review to make sure everything is spot-on and ready.

6
🔄 Spread the magic

With one go, your rules flow to every AI tool you use.

🎉 All synced up

Now your AI helpers follow the same rules everywhere, saving you time and hassle forever.

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Star Growth

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AI-Generated Review

What is lnai?

LNAI is a TypeScript CLI for unified configuration management across AI coding tools like Claude Code, Cursor, Copilot, and Gemini. You define rules, permissions, MCP servers, and agents once in a `.ai/` directory, then run `lnai init`, `lnai validate`, or `lnai sync` to generate native configs—like `.cursor/rules.mdc` or `.github/copilot-instructions.md`—with automatic cleanup of orphans. It solves the pain of duplicating setups for every tool, creating one source of truth via symlinks and JSON exports.

Why is it gaining traction?

With 219 stars, it stands out by syncing to exact native formats each tool expects, handling gitignore for non-versioned outputs, and supporting MCP servers for remote tools. Developers love the dry-run previews and per-tool validation before committing changes. Unlike scattered YAML/JSON tweaks, it propagates updates instantly across github unified setups and appsync-like workflows.

Who should use this?

AI-heavy devs juggling Cursor for editing, Copilot for chat, and Claude for analysis—especially in monorepos with shared rules. Teams enforcing consistent permissions or MCP servers without per-tool boilerplate. Frontend/backend leads standardizing AI behaviors across github unified remotes and lanai-like toolchains.

Verdict

Try it if you use 2+ AI coders; the CLI is polished with solid docs at lnai.sh. At 219 stars and 1.0% credibility score, it's early-stage but battle-tested via comprehensive tests—install globally and sync today for immediate wins. (198 words)

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