launis/quorum

Quorum attempts to solve the 'evaluation bottleneck' in LLM development by using a multi-agent debate format. While the concept of 'AI Safety via Debate' is an established academic field (pioneered by researchers at OpenAI and Anthropic), this project applies it to the specific niche of skill assessment. However, with 0 stars and 0 forks after 133 days, the project currently lacks any market traction or community validation. Technically, the approach of using agents to critique each other is becoming a standard pattern rather than a proprietary moat. Frontier labs like OpenAI (with OpenAI Evals) and startups like Braintrust, Scale AI, and LangSmith are aggressively building more integrated, data-rich evaluation platforms. The lack of an underlying proprietary dataset or a large-scale user base for 'norming' these assessments makes it highly vulnerable to being superseded by built-in evaluation tools from LLM providers or more established MLOps platforms.