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mcp-server

Boost AI Coding with rulesync

Get AI coding utility with rulesync, for founders working with AI agents, backed by 1.1k+ GitHub stars
intermediateโฑ 30 minutes๐Ÿ’ต Free + LLM API costs
1,259 stars138 forksTypeScriptQuality 8/10Updated 7/26/2026100% free ยท open source
What it is

runs a CLI to control AI coding agents with rules

What you can make with it

Automations like: when a new GitHub issue is created, clone the repository, run tests, and merge to master

How it helps

Simples creating custom workflows with pre-written rules, reducing manual coding time and effort

Real use case example

"A coder uses Rulesync to create a script that clones and tests a new GitHub repository whenever an issue is created. In the repository, the script runs continuous integration, then merges the update to master. The entire setup takes 30 minutes and works across multiple repositories."

If you're new

start here for a gentle introduction to automating AI-powered workflows

If you're senior

use Rulesync for complex workflows involving AI agents, especially when self-hosting for optimal control

Common confusion cleared up

This is not a visual drag-and-drop interface, but rather a command-line interface where you write simple rules to control AI workflows

Best inside these AI tools
Claude DesktopAny AI Client
Pairs with
AI-powered agents like Claude DesktopStripe webhook updatesNotion databases and scripts
Why we list it on WorkflowStacks: a free, open-source tool for builders to control AI agents with straightforward scripting
What it does

Rulesync is a utility CLI that helps founders working with AI agents to manage and synchronize rules across their AI coding projects

Install / run
npm install -g @rulesync/cli
When to use it
  • โ€ขWhen you need to ensure consistency across multiple AI models
  • โ€ขWhen you want to automate the process of updating rules for your AI agents
  • โ€ขWhen you need to collaborate with others on AI coding projects and require version control for your rules
Quick start
  1. 1Run `rulesync init` to create a new rulesync project
  2. 2Create a `rules.yml` file to define your rules, referencing the example config in the README
  3. 3Run `rulesync sync` to synchronize your rules with your AI agents
  4. 4Use `rulesync status` to check the current status of your rulesync project
  5. 5Edit the `rules.yml` file to update your rules and run `rulesync sync` again to apply the changes
Ready-to-paste prompt
rulesync sync --agent=my_ai_agent --rule=my_rule
Heads up: Make sure you have Node.js 16 or later installed, as rulesync requires it to run, and also be aware that you need to configure your AI agent credentials before using rulesync
Saves to your device

Topics

ai
ai-agents
ai-coding
llm
mcp
rules
skills
What's inside โ€” free to inspect
No purchase needed

Read the entire source before you build โ€” unlike paid marketplaces that hide it behind a buy button.

28
top-level files
15
folders
20.4M
repo size
MIT
license
Key files
.gtrconfig
package.json
README.md
tsconfig.json
tsdown.config.ts
vitest.config.ts
File tree
.claude/
.devcontainer/
.gemini/
.github/
.opencode/
.rulesync/
.vscode/
.zed/
docs/
Formula/
images/
patches/
scripts/
skills/
src/
.gitattributes
.gitignore
.gtrconfig
.lintstagedrc.js
.npmrc
.oxfmtrc.json
.oxlintrc.json
.rulesyncignore
.secretlintrc.json
Quick Actions
Details
Creator
dyoshikawa
Language
TypeScript
Category
mcp-server
Published
6/18/2025

Are you the creator of this tool? Claim your listing โ†’ and earn 85% of every sale.

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