Epistemic Memory API
Governed store/query/update/relate operations with explicit revision discipline and scoped mutation paths.
Governed Epistemic Substrate for Enterprise AI
Noesis is the governed epistemic layer in the Athena Noesis stack. Noesis makes AI materially safer by making memory, evidence, and decisions governed and auditable. It preserves auditable memory, provenance, and deterministic replay so organizations can reconstruct what a system believed at decision time and under which policy constraints. Adjacent boundary controls protect the surrounding runtime and write boundaries. Deploy Noesis self-hosted as the epistemic substrate between models, agents, and stateful memory.
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Independent Proof Pack (No Source Code)
Download the latest evidence bundle containing governance block/rollback demo logs, release evidence artifacts, pgvector bootstrap dry-run output, targeted memory/epistemic/federation test results, and SHA256 checksums.
Memory Database Included
Ships with database-backed memory support (PostgreSQL + pgvector), plus install-time bootstrap for schema and migrations.
Provenance Chain
Every memory transition carries provenance metadata and policy context for tamper-evident auditability.
Snapshot & Replay
Supports snapshot controls and deterministic replay for decision-time state reconstruction.
Policy-Bound Mutation
No silent belief mutation. State changes require explicit auditable operations with governance hooks.
Multi-Agent Coherence
Shared truth substrate and governance discipline for multiple agents without epistemic fragmentation.
Governance-First Architecture
Noesis is not a UI shell; it is the policy and epistemic integrity substrate beneath interaction layers, with adjacent boundary controls enforcing the surrounding runtime and write boundaries.
Compliance Fit
Designed for regulated and high-accountability environments requiring traceability and replayability.
Enterprise Deployment
Self-hosted middleware for organizations that need auditable AI memory operations under internal control.