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OpenAgentsControl

AI agent framework for plan-first development workflows with approval-based execution. Multi-languag

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Free

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Works With

Claude CodeCursorWindsurfVS CodeDeveloper tool

About

OpenAgents Control (OAC)

Control your AI patterns. Get repeatable results.

AI agents that learn YOUR coding patterns and generate matching code every time.

🎯 Pattern Control - Define your patterns once, AI uses them forever ✋ Approval Gates - Review and approve before execution 🔁 Repeatable Results - Same patterns = Same quality code 📝 Editable Agents - Full control over AI behavior 👥 Team-Ready - Everyone uses the same patterns

Multi-language: TypeScript • Python • Go • Rust • C# • Any language Model Agnostic:* Claude • GPT • Gemini • MiniMax • Local models

](https://github.com/darrenhinde/OpenAgentsControl/stargazers) [ ](https://opensource.org/licenses/MIT) [

🚀 Quick Start💻 Show Me Code🗺️ Roadmap💬 Community

Built on [OpenCode](https://opencode.ai) - An open-source AI coding framework. OAC extends OpenCode with specialized agents, context management, and team workflows.

The Problem

Most AI agents are like hiring a developer who doesn't know your codebase. They write generic code. You spend hours rewriting, refactoring, and fixing inconsistencies. Tokens burned. Time wasted. No actual work done.

Example:

typescript
// What AI gives you (generic)
export async function POST(request: Request) {
  const data = await request.json();
  return Response.json({ success: true });
}

// What you actually need (your patterns)
export async function POST(request: Request) {
  const body = await request.json();
  const validated = UserSchema.parse(body);  // Your Zod validation
  const result = await db.users.create(validated);  // Your Drizzle ORM
  return Response.json(result, { status: 201 });  // Your response format
}

The Solution

OpenAgentsControl teaches agents your patterns upfront. They understand your coding standards, your architecture, your security requirements. They propose plans before implementing. They execute incrementally with validation.

The result: Production-ready code that ships without heavy rework.

What Makes OAC Different

🎯 Context-Aware (Your Secret Weapon) Agents load YOUR patterns before generating code. Code matches your project from the start. No refactoring needed.

📝 Editable Agents (Not Baked-In Plugins) Full control over agent behavior. Edit markdown files directly—no compilation, no vendor lock-in. Change workflows, add constraints, customize for your team.

✋ Approval Gates (Human-Guided AI) Agents ALWAYS request approval before execution. Propose → Approve → Execute. You stay in control. No "oh no, what did the AI just do?" moments.

Don't lose this

Three weeks from now, you'll want OpenAgentsControl again. Will you remember where to find it?

Save it to your library and the next time you need OpenAgentsControl, it’s one tap away — from any AI app you use. Group it into a bench with the rest of the team for that kind of task and you can pull the whole stack at once.

⚡ Pro tip for geeks: add a-gnt 🤵🏻‍♂️ as a custom connector in Claude or a custom GPT in ChatGPT — one click and your library is right there in the chat. Or, if you’re in an editor, install the a-gnt MCP server and say “use my [bench name]” in Claude Code, Cursor, VS Code, or Windsurf.

🤵🏻‍♂️

a-gnt's Take

Our honest review

AI agent framework for plan-first development workflows with approval-based execution. Multi-languag. Best for anyone looking to make their AI assistant more capable in design & media. It's completely free and works across most major AI apps. This one just landed in the catalog — worth trying while it's fresh.

Tips for getting started

1

Tap "Get" above, pick your AI app, and follow the steps. Most installs take under 30 seconds.

What's New

Version 1.0.06 days ago

Imported from GitHub

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