π¦ ClawHub
Oraclaw Ensemble
by @whatsonyourmind
Multi-model consensus for AI agents. Combine predictions from multiple LLMs, models, or sources into a mathematically optimal consensus. Auto-weights by hist...
π Constraints
1. Provide historicalAccuracy when available β the ensemble auto-weights better-calibrated models higher
2. High entropy (>0.7) means models strongly disagree β flag to user before acting
3. Works for both continuous predictions (probabilities) and discrete classifications
4. Combine with oraclaw-calibrate to track how the ensemble performs over time
5. Minimum 2 models, but 3-5 is the sweet spot for robust consensus
TERMINAL
clawhub install oraclaw-ensemble