OraClaw Decision Intelligence
JSON →12 MCP tools with 19 ML algorithms for AI agents â bandits, solvers, forecasters, risk models. All under 25ms, deterministic.
Tools · 9
- optimize_bandit UCB1 / Thompson / Epsilon-Greedy arm selection
- optimize_contextual Context-aware LinUCB bandit
- optimize_evolve Genetic algorithm for discrete + multi-objective problems
- solve_schedule Energy-matched task scheduling
- score_convergence Multi-source probability consensus (Hellinger)
- score_calibration Brier + log score for forecaster accuracy
- predict_bayesian Beta posterior update from weighted evidence
- predict_ensemble Multi-model consensus + uncertainty decomposition
- plan_pat Pathfinding or planning tool (incomplete name in README)
Environment variables
ORACLAW_API_KEY
Links
★ 8 GitHub stars