rainforest-lab
Grow falsifiable research directions through bounded multi-agent experiments and hard gates.
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- Updated May 28, 2026
Grow falsifiable research directions through bounded multi-agent experiments and hard gates.
rainforest-lab turns an open research question into competing directions, hypotheses, and candidate factors, then uses bounded gardener–skeptic deliberation and repeated gates to decide what survives. Useful failures remain as “golden leaves,” while lookahead or leakage results are blocked from reuse. The skill is shipped, but the Python engine and MCP product are still marked as in development.
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Public GitHub facts last synced Jul 10, 2026.
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