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 63 days ago. Current rank #576. Up 2 spots in the rankings.
An MCP-based research agent that searches live web data through SQL and publishes reports with the full query and tool trajectory.
Uno is a research repository for speeding up LLM inference with discrete diffusion and lossless multi-token decoding. The repo includes inference, training, and evaluation code, plus installation steps, checkpoints, and example workflows.
An arXiv paper describing an open library of 163 procedural skills for research agents across 16 scientific areas, with versioned instruction files and accompanying reference material or runnable scripts.
