MiniCorp: a simulator for studying AI-run companies and generating enterprise data

The authors introduce a checkpointable office simulator where LLM-based agents collectively operate a firm in an evolving market, generating longitudinal and counterfactual data for training and evaluation.

Big Tech
Jingying Zeng · Zhenwei Dai · Jinning Li · Changho Shin · Dylan Zhang · Yuxuan Lu · +3 more

Microsoft · University of Illinois Urbana-Champaign · Princeton University · Northeastern University · UCLA

Research Digest··3 min read
The authors present MiniCorp, a simulator that couples an internal world of persistent agent roles with an external world of customers, competitors, and market mechanisms.

The authors designed MiniCorp as an office simulator with two interacting worlds.

Why this paper

From Microsoft and 4 others

In one line

MiniCorp simulates persistent AI-run firms and evolving markets, generating longitudinal, counterfactual enterprise data for training and evaluating long-horizon organizational agents.

What we could check

  • ·No code link found
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  • ✓Limitations stated by the authors
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Research Digest

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