Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
AI agent framework for plan-first development workflows with approval-based execution. Multi-language support (TypeScript, Python, Go, Rust) with automatic testing, code review, and validation built for OpenCode
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| 2026-07-24 | 4627 |
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| 2026-07-31 | 4662 |
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| 2026-09-19 | 4863 |
| 2026-09-20 | 4862 |
Today
-1 stars today
This week
+23 stars this week
This month
+111 stars this month
Momentum
23.0
growth rate 0.47%/day
<div align="center">

# 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://x.com/DarrenBuildsAI)
[](https://opensource.org/licenses/MIT)
[](https://github.com/darrenhinde/OpenAgentsControl/commits/main)
[🚀 Quick Start](#-quick-start) • [💻 Show Me Code](#-example-workflow) • [🗺️ Roadmap](https://github.com/darrenhinde/OpenAgentsControl/projects) • [💬 Community](https://nextsystems.ai)
</div>
---
> **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.
**⚡ Token Efficient (MVI Principle)**
Minimal Viable Information design. Only load what's needed, when it's needed. Context files <200 lines, lazy loading, faster responses.
**👥 Team-Ready (Repeatable Patterns)**
Store YOUR coding patterns once. Entire team uses same standards. Commit context to repo. New developers inherit team patterns automatically.
**🔄 Model Agnostic**
Use any AI model (Claude, GPT, Gemini, local). No vendor lock-in.
**Full-stack development:** OAC handles both frontend and backend work. The agents coordinateExcerpt of 30,033 characters
Read on GitHubDarren Hinde · Daza Limited
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:e10e44b1c1837ea3, topic:code-generation, topic:developer-tools, desc:code review
matched fp:e10e44b1c1837ea3, topic:ai-agents, desc:ai agent, readme:ai agents