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Collects 75 real AI agent setups, 20 that people made money with, each with source, prompt, and steps.
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LATS: Language Agent Tree Search
andyz245/LanguageAgentTreeSearchCombines Monte Carlo tree search with LLM reasoning for complex multi-step planning tasks.
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The benchmark paper for evaluating LLMs as agents across diverse environments.
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Collects sourced playbooks for real agent jobs with prompts, steps, human checkpoints and known failures.
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