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Techniques for querying autonomous agents to gather qualitative data on their internal states and behaviors.
Distinct from Research Agent Frameworks: Focuses on the act of interviewing agents as a research method, not just the agent's ability to research.
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Oasis is an LLM-powered multi-agent social simulator and research tool designed to study synthetic social phenomena. It functions as a synthetic social network platform, replicating the infrastructure of social sites including user profiles, follow relationships, and content discovery mechanisms to model human-like social behaviors at scale. The framework orchestrates large-scale agent populations, supporting up to one million autonomous agents. It distinguishes itself by translating language model outputs into concrete social actions and external tool executions through a tool-calling orches
Allows researchers to query individual agents for responses to analyze behaviors and trends.