{% extends "base.html" %} {% block title %}{{ app_name }} — Bayesian Autoresearch{% endblock %} {% block content %}

Bayesian Autoresearch

Autonomous experiment engine inspired by Karpathy's Autoresearch, guided by Bayesian Teaching Intelligence. The system picks the most informative experiment, executes it time-boxed, measures the metric delta, and keeps or discards via git.

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Total Experiments
--%
Acceptance Rate
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Active Domains
--%
Best Improvement

Experiment Results

ID Domain Category Hypothesis Pre Post Delta Decision Date
No experiments yet. Run python tools/autoresearch/experiment_engine.py --loop --domain compliance --json to start.

Experiment Domains

Domain Metric Direction Keep Threshold Time Budget
compliancegate_pass_ratemaximize1%5 min
code_qualitymaintainability_scoremaximize0.5%5 min
securityinverse_vulnerability_densitymaximize0.5%5 min
rag_qualityretrieval_relevance@5maximize1%5 min
pulse_qualitywriteguard_scoremaximize2%3 min
skill_qualityassertion_pass_ratemaximize1%5 min
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