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Agent S
Open-source framework developed by Simular AI for creating autonomous agents that interact with real-world GUI environments:
• Empowers agents to control applications by simulating mouse clicks, keyboard input, and navigation across operating systems
• Designed to solve software-based tasks using multimodal perception, planning, and tool use
• Includes benchmark environments like AndroidWorld, OSWorld, and WindowsAgentArena for evaluating agent performance
• Modular architecture enables the integration of LLMs, visual perception modules, and task-specific reasoning
• Introduced by former Google DeepMind researchers, now at Simular AI, with AgentS2 released in 2025 as its successor
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