OTA-v1 is a lightweight agent model designed to support browser automation frameworks by understanding browser context, making decisions, and generating action commands. We define OTA-v1 as a Browser Agent Model (BAM) — a specialized model trained to perceive the state of a web page and act intelligently within it.
Built for seamless integration with browser agent systems, OTA-v1 functions as the core reasoning component. It interprets the browser state (e.g., DOM, UI elements), determines appropriate actions, and outputs structured commands.
Optimized for local deployment, OTA-v1 enables fast, efficient inference directly on personal machines and GPUs without the need for cloud infrastructure.
- 🧠 Browser-Aware Reasoning: Understands web interfaces and user intent through DOM and action analysis.
- ⚡ Lightweight & Local: Deployable on individual machines for low-latency, offline use.
- 🎯 Action-Driven Output: Produces clear, structured actions for browser interaction.
ollama run hf.co/OTA-AI/OTA-v1
(https://github.com/OTA-Tech-AI/BAM-Client/)
- Support Multi-Modality for visual understanding
- Extend OTA-v1 to handle more complex tasks with long memory
- Improve action accuracy through context awareness and inter-element attention
- Deploy lightweight serving clusters for fast local and remote inference
- Provide simple APIs for easy model integration
- Collect browser interactions usage data from human users
- Build tools to annotate and structure action datasets
- Design an optimized browser agent framework centered around our BAMs
- Support modular extensions and task-specific plugins