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Documentation Index

Fetch the complete documentation index at: https://tbd-6fc993ce-pools-fill-rate-1772767851.mintlify.app/llms.txt

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The OpenAGI Lux Model is a computer-use model that enables AI agents to interact with computers the way humans do. Lux operates in a continuous action-observation loop: it receives a task, analyzes a screenshot of the current screen state, generates the next UI interaction (click, type, etc.), and repeats until the goal is achieved. By integrating OpenAGI with Kernel, you can run these AI-powered browser automations on cloud-hosted infrastructure, eliminating the need for local browser management and enabling scalable, reliable computer-using agents.

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Getting started

To get started with OpenAGI Lux and Kernel:
  1. Get your OAGI_API_KEY on the OpenAGI Developer Platform
  2. Get your KERNEL_API_KEY from the Kernel Dashboard
For more information about Lux’s capabilities, visit the OpenAGI Lux Documentation.

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Quick setup with Computer Use

The fastest way to get started is using the Kernel CLI’s built-in OpenAGI template: 
kernel create --template openagi-computer-use --language python
cd <your-app-name>
kernel deploy main.py --env-file .env
This creates a pre-configured OpenAGI app with both AsyncDefaultAgent and TaskerAgent implementations ready to deploy.

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Benefits of using Kernel with OpenAGI

  • No local browser management: Run OpenAGI automations without installing or maintaining browsers locally
  • Scalability: Launch multiple browser sessions in parallel for concurrent AI agents
  • Stealth mode: Built-in anti-detection features for reliable web interactions
  • Session state: Maintain browser state across runs via Profiles
  • Live view: Debug your OpenAGI agents with real-time browser viewing
  • Cloud infrastructure: Run computationally intensive AI agents without local resource constraints

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Next steps