Recursive Control: Now Runs GPT-oss Locally via LM Studio

We're excited to announce a major upgrade to Recursive Control: full integration with LM Studio, now powering local execution of our GPT-oss model for recursive, agentic AI workflows.

👉 Explore the project on GitHub: flowdevs-io/Recursive-Control

What Is Recursive Control?

Recursive Control is an open-source framework designed to autonomously control your Windows computer using AI. The system can interpret natural language instructions, orchestrate workflows, and manage plugins that automate tasks like:

• Mouse and keyboard actions

• Command line operations

• Browser interactions

• File and system management

It's powered by a multi-agent architecture (coordinator, planner, executor) and is fully extensible via plugins. Until now, most of its AI reasoning relied on cloud-based LLMs.

What's New: Local GPT-oss via LM Studio

With LM Studio integration, Recursive Control can now run GPT-oss entirely on your machine.

Here's what this unlocks:

• Fully local AI, no external API calls or cloud dependencies

• Privacy by default, your data never leaves your computer

• No usage costs, GPT-oss is open source and free

• Offline capability, works in disconnected environments

• Seamless integration, Recursive Control automatically uses your local LM Studio server when enabled

🛠️ How to Get Started

1. Clone the repo:

2. git clone https://github.com/flowdevs-io/Recursive-Control.git

3. Install LM Studio.

4. Download and load GPT-oss in LM Studio.

5. Start the LM Studio server (default endpoint: http://localhost:1234/v1).

6. In Recursive Control's settings, enable LM Studio and point it to your local endpoint.

7. Run Recursive Control and issue natural language commands, GPT-oss will handle the reasoning locally.

Why This Matters

Running GPT-oss locally with Recursive Control means you get the benefits of powerful AI without the trade-offs of cloud dependency:

• Privacy and security, nothing leaves your machine

• No costs, no API usage fees

• Faster responses, skip network latency

• Offline support, works even without internet

• Recursive orchestration, optimized for agentic control loops

🐛 Tips and Troubleshooting

• If responses are slow, reduce max tokens or use a quantized GPT-oss build.

• Check that LM Studio is running and accessible on http://localhost:1234/v1.

• Enable GPU acceleration in LM Studio for faster performance.

• Monitor system resources, larger models require more RAM and VRAM.

🚀 What's Next

This update is just the beginning. With GPT-oss + LM Studio, Recursive Control is becoming:

• More private, all processing is local

• More affordable, no per-token costs

• More resilient, runs anywhere, even offline

Next steps include adding support for additional open models, improving automatic fallback between local and cloud AI, and optimizing performance for recursive agent loops.

👉 Try it today by downloading LM Studio, setting up GPT-oss, and running Recursive Control locally: flowdevs-io/Recursive-Control