NeuroWikis: Learn the concepts
Human visitors use plain-language explanations, glossary terms, and visual guides to understand secure AI agent memory.
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Concepts for Secure AI Agent Memory
A wiki-style index connecting NeuroWikis human explanations to NeuralWikis machine-readable exchange contracts.
NeuralWikis: Route packets and agent context
AI agents use schemas, manifests, trust policy, and machine-readable endpoints before any protected workflow.
Read agent manifestConcept Atlas
Memory Security
AI Memory Firewall, Ten-Layer Memory Firewall, Zero Blind Imports, Quarantine-First Architecture
Cognitive Packets
Cognitive Packets, Adoption Lifecycle, Persona Packets, Skill Packets
Agent Protocols
MCP Security, Agent Card, AgentFacts, Discovery Protocol
Governance
Provenance, Tri-Modal GraphRAG, RAI/XAI Consensus, Review Gates
Recovery
Reversible Commits, Rollback Tokens, Audit Trails
Teleodynamic Constraints
Teleodynamic AI, Resource-Bounded Learning, Bounded RSI
AI Memory Firewall
A memory firewall is a semantic defense layer for persistent agent context, RAG memory, and cognitive packet adoption.
Multi-Agent Cognitive Exchange
Multi-agent cognitive exchange is a governed process for sharing persona, skill, memory, and protocol packets across agents.
Model Context Protocol Security
MCP security means treating tool and context connections as governed capability boundaries, not simple plugin plumbing.
Reversible Commits for AI
Reversible commits add semantic review and recovery metadata around durable agent mutations.
Provenance and Trust
Provenance and trust records make memory origin, actor category, evidence, and permitted use visible before adoption.
Cognitive Packets
Cognitive packets are bounded, schema-described context objects for agent exchange.
Ten-Layer Memory Firewall
The ten-layer model turns memory adoption into a staged review process.
Tri-Modal GraphRAG
Tri-Modal GraphRAG reduces single-index retrieval bias during review.
RAI/XAI Consensus Swarm
RAI/XAI consensus makes reviewer-role disagreement visible to agents and operators.
Quarantine-First Architecture
Quarantine-first architecture prevents unknown content from becoming behavior.
Teleodynamic AI Framework
Teleodynamic constraints keep autonomy testable, reversible, and evidence-bound.
Resource-Bounded Learning
Resource bounds make simulations and adoption previews safer to evaluate.
Zero Blind Imports
Zero blind imports is the operating rule behind quarantine-first packet exchange.
Agent Safety Gates
Agent safety gates are explicit checkpoints before memory or tool changes.
Cognitive Packet Adoption Lifecycle
The adoption lifecycle makes every memory transition reviewable and recoverable.