Show HN: Cruxible – Terraform-like ontology config to governed state for agents (github.com)

Cruxible has introduced a governed state engine for AI agents, designed as an ontology-based alternative to traditional agent memory. This innovative framework enables shared domain modeling by creating a unified typed model where every claim is validated against specified rules and is auditable. Users define their domain's ontology in a Terraform-like YAML configuration, allowing both humans and agents to construct a governed state that tracks significant claims, judgments, and source verifications. The underlying architecture operates as a Python daemon, storing a typed graph in SQLite, ensuring deterministic operations with no reliance on large language models (LLMs) for decision-making. The significance of Cruxible lies in its structured approach to knowledge management in AI systems, emphasizing accountability and traceability. By enforcing a division between judgment and execution, it ensures that claims and alterations to state are rigorously reviewed and approved based on documented evidence. Agents can leverage this repository of truths to answer complex queries without recalibrating judgments, drastically improving the reliability of data-driven decisions in AI applications. The framework also includes features like governed workflows, permission management, and comprehensive auditing via "receipts," paving the way for more secure and verifiable AI deployment in various domains.