Agents.ai
A browser-based AI agent utilizing Large Action Models to automate tasks without API dependencies.
🛡️ AgentReady threat assessment
MAESTRO 7-layer threat model + OWASP AIVSS risk score for Agents.ai, derived from its capabilities.
These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology. Are you the vendor? Factual corrections are free.
Overview
Agents.ai offers a browser-based AI agent powered by Large Action Models (LAMs), designed to orchestrate sequences of actions to achieve specific goals. Unlike traditional AI models, LAMs focus on executing tasks directly within applications or systems, such as booking appointments or completing forms, without relying on API connections. This approach grants the agent unrestricted access to resources, enabling seamless task execution across various platforms. Additionally, Agents.ai introduces a 'Browse-2-Earn' program, allowing users to earn AGNT Points by sharing their browsing data via a secure browser extension, contributing to the continuous training and enhancement of the LAM.
Key features
- Large Action Models
- browser extension
- task automation
- data sharing rewards
- productivity enhancement
Use cases
- Automating routine tasks within web applications without the need for API integrations.
- Enhancing productivity by delegating repetitive actions to an AI agent.
- Earning rewards through passive participation in data sharing programs.
- Improving AI model performance by contributing to real-world data collection.
- Streamlining workflows by integrating AI-driven automation directly into the browser.