Meta AI enhances machine learning, NLP, and computer vision capabilities.
Ultron Live SDK
$20/moStarting price
0Popularity
About Ultron Live SDK
Ultron Live SDK provides OS-level pixel access to monitor screens, cameras, and applications at up to 60 frames per second. It transforms live visual inputs into a persistent, searchable memory layer that tracks state changes rather than snapshots. The system indexes meaningful frames in under 900 milliseconds and enables natural-language queries over everything observed. It supports over 50 large language models and routes outputs to GPT, Claude, or Gemini. The SDK is designed for real-time AI commentary, automation, and contextual awareness across native apps, browsers, dashboards, terminals, and legacy tools. It operates locally with 100% on-device processing for privacy and low latency, while offering REST API and WebRTC support for integration. Developers can add real-time screen commentary to applications in under ten lines of code using a fully-typed JavaScript or TypeScript SDK.
Key features
- Real-time screen monitoring at up to 60fps
- Persistent visual memory with state-based indexing
- Natural-language recall over observed content
- Integration with 50+ LLMs including GPT, Claude, and Gemini
- REST API and WebRTC support for developers
- State-based routing to reduce LLM input costs
- Autonomous mode for real-time AI commentary
- Custom voice models and on-premise deployment options
Use cases
- Adding real-time AI commentary to applications or workflows
- Searching and retrieving specific visual moments in videos or recordings
- Monitoring enterprise applications for smart workflow automation
Pros
- OS-level pixel access at 60fps across any application
- Persistent local memory with sub-900ms indexing and natural-language search
- Supports 50+ LLMs with zero lock-in and model-agnostic routing
- 100% local processing for privacy and zero cloud latency
- Fully-typed JavaScript/TypeScript SDK with REST API and WebRTC support
Cons
- Credit-based pricing model with no perpetual free tier beyond 200 monthly credits
- Requires local installation and does not operate in cloud-only mode
- Limited to supported platforms and applications with OS-level access
Frequently asked questions about Ultron Live SDK
What does Ultron Live SDK do?
Ultron Live SDK provides OS-level pixel access to monitor screens, cameras, and applications at up to 60 frames per second. It transforms live visual inputs into a persistent, searchable memory layer that tracks state changes rather than snapshots and enables natural-language queries over everything observed.
Who is Ultron Live SDK designed for?
The SDK is designed for developers building real-time AI commentary, automation, and contextual awareness tools across native apps, browsers, dashboards, terminals, and legacy systems. It suits use cases like AI agents, video analysis, enterprise workflows, gaming, security, and RPA.
How does Ultron Live SDK handle privacy and latency?
Ultron Live SDK operates locally with 100% on-device processing, ensuring privacy and low latency. It captures visual data at the OS level without shipping raw video to the cloud, and supports both REST API and WebRTC for integration.
What models and integrations does Ultron Live SDK support?
The SDK supports over 50 large language models and routes outputs to GPT, Claude, or Gemini. It is model-agnostic, allowing developers to use their preferred LLM or enterprise models, and integrates via a fully-typed JavaScript or TypeScript SDK.
How do I get started with Ultron Live SDK?
Developers can start by installing the SDK via npm and initializing it with an API key. The SDK provides a quick start guide with examples for screen sharing and real-time AI commentary, allowing integration in under ten lines of code.
What is the pricing model for Ultron Live SDK?
Ultron Live SDK uses a credit-based pricing model where users pay for what they use. A free tier is available with a limited number of credits per month, and users can scale seamlessly as their usage grows.
