OpenAgentsControl

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OpenAgentsControl is an AI Agents & Automation tool that provides an AI agent framework for plan-first development workflows. It supports multi-language development with approval-based execution and automatic testing, code review, and validation.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is OpenAgentsControl?

OpenAgentsControl (OAC) is an AI agent framework designed to integrate seamlessly into existing development workflows, focusing on plan-first development and approval-based execution. It addresses the common problem of generic AI-generated code by teaching agents specific coding patterns, architectural standards, and security requirements upfront. OAC supports multiple languages including TypeScript, Python, Go, and Rust, and is model-agnostic, working with Claude, GPT, Gemini, and local models. Key differentiators include its context-aware system for pattern discovery, editable agents via markdown files, human-guided approval gates, and token efficiency through its Minimal Viable Information (MVI) principle. It's built on OpenCode and extends its capabilities for team-ready, repeatable results.

Best used for

Ideal for developers who need to generate production-ready code that adheres to specific coding patterns, ensure quality through human approval, and maintain consistent standards across teams. Especially valuable for projects requiring automated testing, code review, and validation in a multi-language environment.

Common actions

generate code

automate development

enforce coding standards

review code

validate code

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Capabilities

Key features

Pattern control
Approval gates
Editable agents
Multi-language support
Model agnostic
Context-aware code generation
Token efficient

Target Audience

developer

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What programming languages does OpenAgentsControl support?

OpenAgentsControl offers multi-language support, including TypeScript, Python, Go, Rust, and C#. It is designed to work with virtually any language, allowing developers to define patterns for their specific tech stack and generate matching code.

How does OpenAgentsControl ensure code quality and adherence to patterns?

OAC ensures code quality through its context-aware system, which loads your defined patterns before generation. It also features approval gates, requiring human review and approval before execution, and includes automatic testing, code review, and validation steps.

Can OpenAgentsControl be customized for specific team workflows?

Yes, OpenAgentsControl allows full control over agent behavior. Agents are defined in editable markdown files, meaning you can directly modify workflows, add constraints, and customize them to fit your team's specific needs without vendor lock-in or compilation.

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Subcategories trending in AI Agents & Automation

Chatbots & Conversational AI General-Purpose Agents Workflow Agents Personal Assistants RAG & Document AI Voice Agents

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