Search Agent Simulator is an open-source platform for building and testing AI search agents. We combine workflow orchestration and behavioral simulation to streamline the development of intelligent search solutions, making it accessible to both researchers and developers.
Our platform integrates:
With Search Agent Simulator, you can skip the complexity and focus on what matters most - creating innovative search experiences that solve real-world problems.
While many AI development tools offer individual components, Search Agent Simulator provides a comprehensive, production-ready solution. Think of it as a well-designed research platform, not just a toolbox.
As an open-source platform, Search Agent Simulator is co-created by a dedicated research team and a vibrant community. This collaboration ensures rapid iteration, robust features, and a user-friendly interface.
With Search Agent Simulator, you can:
Intelligent query formulation based on information needs and user context.
Smart result clicking based on relevance scoring and user behavior patterns.
Document examination and content extraction for comprehensive understanding.
Intelligent stopping criteria and session aggregation for optimal results.
Ready to build your first search agent simulation? Follow these simple steps:
Use our drag-and-drop interface to design your search agent workflow with cognitive components.
Set your information needs, scale parameters, and behavioral preferences.
Execute your simulation and analyze the results with our comprehensive visualization tools.
Check out our comprehensive guides and tutorials to master search agent simulation.