pony-ensemble

What problem does it solve?

Coordinate decorrelated multi-agent reasoning to produce higher-confidence outputs by having multiple agents explore the problem with different attention focuses, then a synthesizer merges their results.

Core Features & Use Cases

• Parallel, attention-focused agents with diverse viewpoints running on the same task
• A central synthesizer that merges outputs and highlights consensus and gaps
• A reviewer loop that triages outputs and excludes off-topic or low-quality results
• Suitable for coding sessions, design reviews, and technical analysis where rigor and coverage matter

Quick Start

Invoke the ensemble workflow when you need higher-confidence results by enabling the ensemble option and specifying attention focuses; the system will spawn parallel agents and synthesize the final answer.