CR-CA Agent

CR-CA is a deterministic causal reasoning engine for autonomous agents. It constructs cause–effect chains, simulates counterfactual scenarios, and produces structured plans optimized for coherence, reliability, and multi-agent coordination. Built for strategic systems, CR-CA is a foundational intelligence primitive for the Swarms ecosystem.

Created & Maintained by: X-dev: https://x.com/IlumTheProtogen X: https://x.com/CRCAAgent Github: https://github.com/IlumCI

Update log:

v1.2.0: Adds batch prediction, async operations, optimization (gradient-based and Bellman), time-series analysis (Granger causality, VAR), Bayesian inference, information-theoretic measures, root cause analysis, sensitivity analysis, Shapley attribution, and multi-layer scenario exploration. Code optimized to under 50k characters while maintaining full functionality.

• v1.1.0: Hardened CR‑CA engine — rustworkx graph, non‑linear SCM + interactions, thread‑safe LRU caching, AAP counterfactuals, LLM integration, benchmarks, CI, and docs.