AI product Open source
hypoarena is a fully offline scientific hypothesis-discovery workbench and command-line tool. It generates deterministic synthetic literature containing planted causal chains, competing hypotheses, paraphrase clusters, distractors, and contradictions, then runs a generate–debate–evolve loop through pluggable agent adapters that propose, critique, and revise hypotheses. Its pipeline includes span-level citation and claim-grounding checks, paraphrase deduplication using hashing, n-gram Jaccard, TF-IDF, and MinHash LSH, Bradley–Terry/Elo tournaments for ranking hypotheses or agents, hypothesis evolution operators, and Bayesian evidence accumulation. It produces Markdown and self-contained HTML reports with rankings, grounding flags, deduplication clusters, belief updates, run metadata, and limitations. The core runtime depends on NumPy; an optional CPU-only PyTorch extra demonstrates a trainable ranker. Examples and tests run without network access, real model calls, or downloaded weights, and the project is licensed under the MIT License.
1 use taken from transcripts — each links to the moment in the video.
A test environment for AI-scientist workflows that generates synthetic literature with known causal links and evaluates agents as they propose, debate, rank, and revise hypotheses.
1 in the library.