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To unlock Oryx’s full potential, you need to configure an AI provider. You have two options:
  1. Use models locally - Run AI on your machine for complete privacy
  2. Bring your own API keys - Use cloud providers like ChatGPT, Gemini, or Claude
Visit chrome://settings/oryx to configure your AI provider.
Our recommendation: Oryx works best with Gemini 2.5 Flash. We highly recommend getting an API key from Google AI Studio for Gemini 2.5 Flash. Google AI Studio gives free access to Gemini 2.5 Flash models for up to 20 requests per minute - perfect for getting started without any costs.

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Why bring your own API keys or use local models?

Your API keys are stored locally and encrypted. Requests go directly from your browser to the provider - Oryx servers never see your data or keys. With local models, your data never even leaves your machine.
Oryx has rate limits on the default shared models. For the smoothest experience without interruptions, bring your own API keys or run models locally. Command Oryx as much as you want without hitting limits.
$Oryx token holders get access to premium automation tiers, advanced MCP servers, and priority processing. Own the token, own the experience.
Connect to powerful cloud models using your own API keys. Oryx works exceptionally well with Gemini 2.5 Flash for trading commands, contract analysis, and agentic workflows.

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Available Cloud Providers

Gemini (free)

Use Gemini-2.5-flash! Recommended.

Claude

Use Claude sonnet-3.7 or sonnet-4.0!

OpenAI

Use GPT-4.1 for best results!

Open Router

Access multiple AI models through one API!

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Option 2: Using local AI LLM models

Running models locally gives you complete control and privacy. Your data stays on your machine, and there are no usage costs or API limits.
NOTE: Local LLMs are great for “Chat Mode” tasks. For “Agent Mode” and “Teach Mode”, our recommendation is to use bigger cloud based LLMs like ChatGPT, Gemini or Claude.

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Available Local Options

Ollama

Popular tool for running open-source models locally with easy model management

LM Studio

User-friendly GUI for downloading and managing local language models

GPT-OSS

OpenAI’s open-source GPT model optimized for local execution
For best results with local models:
  • gpt-oss:20B - Great balance of speed and capability
  • qwen3:8B or qwen3:14B - Fast and good for chat-mode, but struggles with agentic tasks
Many models like Deepseek-R1 via Ollama don’t support tool calls and you’ll get 400 errors when trying to use them with Oryx. Stick with the recommended models above for the best experience.

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Switching Between Models

Use the switcher to change between different LLM providers.
  • Use local models for sensitive work data
  • Switch to cloud models for agentic tasks.
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Get $ORYX Token

Unlock premium automation tiers, advanced features, and governance rights

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Next Steps

Once you’ve configured your AI provider, start commanding Oryx:
  • Use natural language commands for trading, research, and automation
  • Try split-view AI to analyze contracts and whitepapers side-by-side
  • Build custom agents to automate repetitive DeFi tasks
  • Connect MCP servers to integrate your work tools