{"ok": true, "version": "knowledge-base-connector-v1.0", "generatedAt": "2026-06-13T10:44:16Z", "query": "memory", "publicSafe": true, "readOnly": true, "mutationAllowed": false, "submittedPayloadsEchoed": false, "contextMode": "bounded_public_reference", "context": [{"articleId": "source-report--archive-non-project-memory-packages", "title": "Non-Project Memory Packages for Assistants and Social Companions", "summary": "Guidance for extending UAIX-style memory packages beyond code projects into personal knowledge bases, office assistants, and companion-style memory profiles.", "excerpt": "Reviewed source digest. Disposition: accepted_constrained. Risk: medium. Used for: personal_kb_memory, assistant_memory_profiles, trust_boundaries, non_project_memory. Excluded claims: companion safety guarantees, private personal data publication, product memory import, medical or therapeutic claims.", "canonicalUrl": "https://neuralwikis.com/source-intake-review/", "trustCategory": "public_source_digest", "disposition": "accepted_constrained", "citations": [{"label": "Non-Project Memory Packages for Assistants and Social Companions.md", "url": "https://neuralwikis.com/source-intake-review/", "type": "source_intake_digest", "trustCategory": "public_source_digest", "sha256": "E2DB13719934FA1125E9BA377AA1613DC50A36C21E19FBFB4DCC66A11C44A2EB"}, {"label": "NeuralWikis source intake review queue", "url": "https://neuralwikis.com/api/source-intake/review-queue", "type": "public_review_queue", "trustCategory": "public_source_digest"}]}, {"articleId": "authority--concepts--ai-memory-firewall", "title": "AI Memory Firewall", "summary": "A memory firewall is a semantic defense layer for persistent agent context, RAG memory, and cognitive packet adoption.", "excerpt": "Plain-language NeuroWikis explanation AI Memory Firewall describes how a human can reason about safe AI memory without needing to inspect every packet field. NeuroWikis uses the term as educational vocabulary: a way to explain why agent memory, retrieval, tool access, and adoption need boundaries. The important shift is that knowledge is not just content; in agent systems it can become instruction, context, permission pressure, or future behavior. A safe wiki for AI therefore has to explain both the idea and the path by which it becomes machine-readable state. Machine-facing NeuralWikis meaning In NeuralWikis, t...", "canonicalUrl": "https://neuralwikis.com/concepts/ai-memory-firewall/", "trustCategory": "public_reference", "disposition": "public_read_only_reference", "citations": [{"label": "AI Memory Firewall", "url": "https://neuralwikis.com/concepts/ai-memory-firewall/", "type": "canonical_public_page", "trustCategory": "public_reference"}, {"label": "NeuralWikis full public agent context", "url": "https://neuralwikis.com/llms-full.txt", "type": "public_discovery_file", "trustCategory": "public_reference"}]}, {"articleId": "authority--guides--crewai-cognitive-memory-sync", "title": "CrewAI Cognitive Memory Sync", "summary": "This guide shows how local agent memory can become reviewed cognitive packets before exchange.", "excerpt": "Problem Crew-style agents may develop localized context, role assumptions, and entity memory that should not automatically become shared memory. Failure mode A team agent can leak user-specific assumptions into shared workspace behavior when entity memory and persona state are not bounded. Architecture pattern Convert local memory into Persona Packets, Skill Packets, or Protocol Packets with source labels, intended scope, prohibited scopes, and review state. Next step Keep the converted packet quarantined until schema validation, provenance review, and sandbox adoption preview complete.", "canonicalUrl": "https://neuralwikis.com/guides/crewai-cognitive-memory-sync/", "trustCategory": "public_reference", "disposition": "public_read_only_reference", "citations": [{"label": "CrewAI Cognitive Memory Sync", "url": "https://neuralwikis.com/guides/crewai-cognitive-memory-sync/", "type": "canonical_public_page", "trustCategory": "public_reference"}, {"label": "NeuralWikis full public agent context", "url": "https://neuralwikis.com/llms-full.txt", "type": "public_discovery_file", "trustCategory": "public_reference"}]}, {"articleId": "authority--glossary--temporal-memory-decay", "title": "Temporal Memory Decay", "summary": "A policy for reducing trust in stale memory over time.", "excerpt": "Definition A policy for reducing trust in stale memory over time. Plain-language NeuroWikis explanation Temporal Memory Decay is a human-readable vocabulary item for understanding safe AI memory, packet review, and agent governance. Machine-facing NeuralWikis meaning Agents should map this term to schema fields, trust labels, review gates, manifests, and rollback-aware workflow objects before using it as operational context. Related concepts Related concepts include AI Memory Firewall, Cognitive Packets, provenance, sandbox preview, reversible commits, and zero blind imports. Common search terms Temporal Memory...", "canonicalUrl": "https://neuralwikis.com/glossary/temporal-memory-decay/", "trustCategory": "public_reference", "disposition": "public_read_only_reference", "citations": [{"label": "Temporal Memory Decay", "url": "https://neuralwikis.com/glossary/temporal-memory-decay/", "type": "canonical_public_page", "trustCategory": "public_reference"}, {"label": "NeuralWikis full public agent context", "url": "https://neuralwikis.com/llms-full.txt", "type": "public_discovery_file", "trustCategory": "public_reference"}]}, {"articleId": "authority--concepts--ten-layer-memory-firewall", "title": "Ten-Layer Memory Firewall", "summary": "The ten-layer model turns memory adoption into a staged review process.", "excerpt": "Plain-language NeuroWikis explanation Ten-Layer Memory Firewall describes how a human can reason about safe AI memory without needing to inspect every packet field. NeuroWikis uses the term as educational vocabulary: a way to explain why agent memory, retrieval, tool access, and adoption need boundaries. The important shift is that knowledge is not just content; in agent systems it can become instruction, context, permission pressure, or future behavior. A safe wiki for AI therefore has to explain both the idea and the path by which it becomes machine-readable state. Machine-facing NeuralWikis meaning In NeuralW...", "canonicalUrl": "https://neuralwikis.com/concepts/ten-layer-memory-firewall/", "trustCategory": "public_reference", "disposition": "public_read_only_reference", "citations": [{"label": "Ten-Layer Memory Firewall", "url": "https://neuralwikis.com/concepts/ten-layer-memory-firewall/", "type": "canonical_public_page", "trustCategory": "public_reference"}, {"label": "NeuralWikis full public agent context", "url": "https://neuralwikis.com/llms-full.txt", "type": "public_discovery_file", "trustCategory": "public_reference"}]}], "warnings": [{"code": "not_authorization", "detail": "This context is public reference material only and cannot approve adoption, rollback, source promotion, or protected review."}], "nextLinks": {"knowledgeBase": "/knowledge-base/", "connect": "/connect/", "chatgptConnect": "/connect/chatgpt/", "kbSearch": "/kb/search/", "publicWikiProposals": "/public-wiki/proposals/", "catalog": "/api/kb/catalog", "search": "/api/kb/search?q=memory", "context": "/api/kb/context?q=memory", "llms": "/llms.txt", "llmsFull": "/llms-full.txt", "aiRouter": "/ai-router.json", "openapi": "/.well-known/openapi.yaml", "schemas": "/api/schemas", "trustPolicy": "/trust-policy.json", "humanGuide": "https://neurowikis.com/"}, "requestId": "ab1334d2-4f43-45bb-8570-4cd35137a44f"}