ÆTHERYA Core – deterministic action-governance kernel for LLM agents
Fail-closed policy layer blocks LLM tool calls before execution, no LLM in decision path.
Deterministic proof-carrying decision core with replay verification, WAL, and fixed-point budget proofs
Deterministic replay kernel for decisions when you need to prove why something was rejected.
Systems engineers building auditable fintech or LLM routing infrastructure
OpenPolicyAgent · TeddyDB
Fail-closed policy layer blocks LLM tool calls before execution, no LLM in decision path.
Avoids LLM hallucination with deterministic scoring, but a pros/cons spreadsheet solves the same problem.
Governance before execution solves the black-box agent problem observability tools ignore.
Verifiable decision replay for autonomous systems, but execution complexity limits adoption beyond safety-critical domains.
Persistent IAM review with audit trails beats one-shot scanners, but GCP-only limits reach.
Auditable agent decisions via DAG receipts—unlike prompt-dependent LLMs, this proves reasoning.