Replica Labs
OpenEnv Hackathon SFReplicaLab is an OpenEnv-based multi-agent environment for evaluating and training AI systems to design realistic replication and experiment plans under constraints. A Scientist agent proposes a plan, a Lab Manager enforces limits like budget, compute, schedule, and tools, and a deterministic Judge scores rigor, feasibility, fidelity, and parsimony. It solves the gap between ideal research plans and what can actually be executed in the real world. Users include AI researchers, ML engineers, eval teams, benchmark designers, and labs that want reproducible tests of planning, negotiation, and constraint reasoning. It can be improved with more domains like biology and chemistry, stronger paper-to-scenario ingestion, better trained policies, richer observability, and more human-in-the-loop review.
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