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  • AgentMatch.AI finds the best real estate agents using data analysis.
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    What is AgentMatch.ai?
    AgentMatch.AI leverages extensive data analysis to match you with the top-performing real estate agents in your area. Whether you're buying or selling, our platform analyzes thousands of agents and their performances to provide you with personalized recommendations. Our technology ensures you connect with the best professionals who can close transactions faster and achieve better prices, helping you navigate the complexities of real estate with ease.
  • An open web platform to discover, filter, and contribute AI agents with detailed listings and community submissions.
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    What is AI Agent Marketplace?
    AI Agent Marketplace is a community-driven directory for AI agents, allowing developers, researchers, and enthusiasts to discover, evaluate, and contribute agents. Users can filter agents by category, view detailed functionality and integration instructions, and submit their own agents via pull requests. The platform aggregates metadata, links, and examples for each agent, making it easier to compare capabilities and find the right tool for specific use cases.
  • A benchmarking framework to evaluate AI agents' continuous learning capabilities across diverse tasks with memory, adaptation modules.
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    What is LifelongAgentBench?
    LifelongAgentBench is designed to simulate real-world continuous learning environments, enabling developers to test AI agents across a sequence of evolving tasks. The framework offers a plug-and-play API to define new scenarios, load datasets, and configure memory management policies. Built-in evaluation modules compute metrics like forward transfer, backward transfer, forgetting rate, and cumulative performance. Users can deploy baseline implementations or integrate proprietary agents, facilitating direct comparison under identical settings. Results are exported as standardized reports, featuring interactive plots and tables. The modular architecture supports extensions with custom dataloaders, metrics, and visualization plugins, ensuring researchers and engineers can adapt the platform to varied application domains.
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