Shypd.aiThe largest open index of AI toolsASearcher is an open-source framework that enables large-scale reinforcement learning for search agents. It provides model weights and detailed training methodologies to advance search intelligence to expert-level performance.
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ASearcher is an open-source framework designed for large-scale online reinforcement learning (RL) training of search agents, aiming to advance Search Intelligence to expert-level performance. It provides model weights, detailed training methodologies, and data synthesis pipelines, making it fully committed to open-source development. Key features include a prompt-based LLM agent for autonomous QA pair generation, a fully asynchronous agentic RL framework that decouples trajectory collection from model training, and the ability to enable long-horizon search with tool calls exceeding 100 rounds. ASearcher achieves cutting-edge performance on challenging QA benchmarks like GAIA, xBench-DeepSearch, and Frames, demonstrating substantial improvements through RL training. It also offers comprehensive guidance for building and training customized agents.
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