AI Research / Autonomous Research Systems
An autonomous research system that runs on a single workstation and aggressively checks its own claims with adversarial self-verification, replication, and calibration audits.
The snapshot clearly shows a real AI research project with a defined purpose, concrete architecture, and implementation details. The README explains that Prometheus orchestrates LLM workers, runs experiments, preserves code, performs adversarial replication and novelty checks, and publishes its own measured trust metrics. It also includes setup guidance, a prerequisite dependency, and evidence of an ongoing codebase with multiple folders, scripts, and cron-driven jobs.
The page gives strong high-level and operational detail, but it does not yet show actual usage examples, API docs, or a quickstart directly in the snapshot. It is also hard to tell which parts are production-ready versus experimental without reading the linked setup and findings files.
Last evaluated 7 days ago. Current rank #263. Up 2 spots in the rankings.
Open-source multi-agent protocol for AI research agents. It pairs a tool-using Scientist with a question-only advisor that can only ask questions and approve plans, and the README includes quick-start setup plus notes on reproducing results on MLE-bench/Kaggle tasks.
A sourced model and short report exploring whether Europe could train a sovereign frontier AI model using public compute it already owns, with reproducible code, datasets, and a PDF report.
An open-source research framework for structured LLM evaluation, claim verification, and source-grounded reflective reasoning. The repo describes modular components for retrieval, semantic scoring, skeptical claim checking, and benchmark-style epistemic assessment.
