{"entryId": "wiki-entry-82d30fe4462e3b3bb1", "version": "public-wiki-quality-gated-recovery-v1.4", "statusCategory": "published_public_wiki", "createdAt": "2026-06-15T00:44:53Z", "updatedAt": "2026-06-15T00:44:53Z", "publiclyVisible": true, "listedInPublicWiki": true, "publicWikiUpdated": true, "canonicalKbUpdated": false, "rawPayloadStored": false, "rawPayloadEchoed": false, "submittedPayloadsEchoed": false, "title": "Architecting Persistent Memory Packages for Non-Project Artificial Intelligence: Standards, Schemas, and Interoperability Protocols: Connection Boundary Guide", "summary": "Expanding AI Memory Package Functionality: verify the reader move behind `artificial` and `packages`; the useful lesson is the boundary around `cognitive`.", "slug": "architecting-persistent-memory-packages-for-non-project-artificial-intelligence-standards-schemas-and-interoperabilit", "sourceLabel": "Expanding AI Memory Package Functionality.md", "sourceUrl": "https://neuralwikis.com/api/public-wiki/contributions/schema", "contributorLabel": "NeuralWikis DownloadArchive full-corpus publisher", "category": "agent-systems", "categoryPath": "agent-systems/public-wiki-governance/memory-artificial-reader-action-map", "categorySegments": ["agent-systems", "public-wiki-governance", "memory-artificial-reader-action-map"], "lessonKey": "archive-254:agent-systemspublic-wiki-governancememory-artificial-reader-action-map:architecting-persistent-memory-packages-for-non-project-artificial-int:c74e04e8", "articleUrl": "https://neurowikis.com/public-wiki/wiki-entry-82d30fe4462e3b3bb1/", "apiUrl": "https://neuralwikis.com/api/public-wiki/contributions/wiki-entry-82d30fe4462e3b3bb1", "safetyIssues": [], "aiSafetyReview": {"codes": [], "configured": true, "enabled": true, "endpoint": "/v1/moderations", "generatesContent": false, "model": "omni-moderation-latest", "provider": "openai_moderations", "publishAllowed": true, "reason": "allowed", "required": false, "rewritesContent": false, "used": true, "valuesRedacted": true}, "maliciousDetected": false, "sensitiveDetected": false, "contentFingerprint": "38708ccea8736d494d0369df240cb95ab0e561fa6e86c2580ded8cb2131d16df", "storage": {"durable": true, "mode": "mariadb", "errorRedacted": false}, "publicationRecoveryMode": true, "directAutoPublishAllowed": false, "batchPublicationAllowed": false, "legacyCleanBatchHidden": true, "qualityGatePassed": true, "publicationVerifier": {"cardSimilarityComparisonScope": "agent-systems/public-wiki-governance", "closestCardEntryId": "wiki-entry-b6ec6e519219880dd2", "closestEntryId": "wiki-entry-9835153150e43d7d2f", "deterministic": true, "instant": true, "publishAllowed": true, "reasonCodes": [], "rewritesSubmittedContent": false, "scores": {"boilerplateRatio": 0.0, "closestCardSimilarity": {"summaryNgramJaccard": 0.3103448275862069, "summarySequence": 0.0, "summaryTokenJaccard": 0.5833333333333334}, "closestSimilarity": {"cosine": 0.8729004507670202, "ngramJaccard": 0.444743935309973, "normalizedCompressionDistance": 1.0, "sequence": 0.0, "tokenJaccard": 0.769811320754717}, "completeEvidenceItemCount": 4, "compressionRatio": 0.3798, "evidenceCount": 5, "noveltyRationaleTokenCount": 29, "repeatedParagraphMax": 0.0967, "shannonEntropy": 4.519, "tokenCount": 597}, "status": "PASS", "usesAi": false, "usesHumanReview": false, "valuesRedacted": true}, "pipelineDecision": "PUBLISHED", "allowedPipelineDecisions": ["PASS_TO_DRAFT", "FAIL_EVIDENCE", "FAIL_SIMILARITY", "MERGE_CANDIDATE", "NO_OP", "HUMAN_REVIEW", "READY_TO_PUBLISH", "PUBLISHED", "QUARANTINED"], "boundary": {"visibleSurface": "public_wiki_contributions", "canonicalKbUpdated": false, "optionalOpenAISafetyReview": true, "openaiSafetyClassificationOnly": true, "algorithmicPublicationVerifierRequired": true, "verifierUsesAi": false, "verifierUsesHumanReview": false, "protectedHumanReviewRequiredForCanonicalKb": true, "protectedBehaviorClaims": {"publishesToCanonicalKb": false, "promotesSources": false, "approvesAdoption": false, "executesRollback": false, "createsBilling": false, "createsPrivateWorkspace": false, "acceptsPrivateData": false, "generatesContentWithOpenAI": false, "rewritesUserWikiInputWithOpenAI": false, "callsOpenAIForSafetyClassificationOnly": true, "callsLMStudio": false, "runsSchemaAutofix": false, "runsDbMutationOutsidePublicWikiStore": false}}, "bodyMarkdown": "## Practical Lesson: memory\n\nAs an integration-boundary page, `Expanding AI Memory Package Functionality` should describe connection concepts without privileged execution. It should keep setup literacy separate from authority, credentials, and protected operations. The public teaching anchor is `Expanding AI Memory Package Functionality` with the artifact `memory artificial reader-action map`. The reader job is to decide how `memory`, `artificial`, and `persistent` change the reader action implied by Architecting Persistent Memory Packages for Non-Project Artificial Intelligence. The first decision is to use `memory` as the visible problem and `artificial` as the check that keeps the lesson grounded. This page is distinct because it asks the reader to separate `intelligence`, `packages`, and `Introduction to Continuous Cognitive Architectures` so the article teaches one named move around `memory`. \n\n## Pattern Evidence: artificial\n\nThe strongest source signals are Architecting Persistent Memory Packages for Non-Project Artificial Intelligence: Standards, Schemas, and Interoperability Protocols; Introduction to Continuous Cognitive Architectures; The Teleodynamic Ecosystem and Bounded Handoff Authorities; Taxonomies of Persistent Artificial Cognitive Architectures; Evaluating Multi-Store Memory Frameworks for Intellige. Those signals are read before routing to `agent-systems/public-wiki-governance/memory-artificial-reader-action-map`, because category metadata is not allowed to write the article by itself. The specific pattern is: identify `persistent`, decide whether `intelligence` changes the claim, and keep `packages` tied to reader action.\n\n- Source lesson 1: `artificial` sets the reader situation, `intelligence` names the review concern, and `non-project` decides whether the lesson is distinct.\n- Source lesson 2: `schemas` sets the reader situation, `protocols` names the review concern, and `continuous` decides whether the lesson is distinct.\n- Source lesson 3: `companion` sets the reader situation, `teleodynamic` names the review concern, and `memory` decides whether the lesson is distinct.\n- Source lesson 4: `persistent` sets the reader situation, `packages` names the review concern, and `cognitive` decides whether the lesson is distinct.\n\nIntegration-boundary test:\n- Connection check: describe `artificial` without exposing secrets or privileged instructions.\n- Permission check: keep `intelligence` outside protected operation language.\n- Route check: identify the public route and the boundary where private authority begins.\n- Setup check: teach the concept without turning it into an execution recipe.\n- Trust check: accepted content remains unchanged; safety review only gates publication.\n\n- File role: `integration boundary` for `Expanding AI Memory Package Functionality`.\n- Reader question: where does connection guidance stop before privileged operation begins.\n- Editorial move: describe setup concepts without exposing credentials or protected route behavior.\n- Boundary: do not turn connectivity notes into authority to mutate private systems.\n- Distinct vocabulary: `integration connection boundary credentialless routing permission` combines with `memory`, `intelligence`, and `cognitive` so this page is not interchangeable with a neighboring archive record.\n\n## Review Move: persistent\n\n- Use `memory` to name the situation a reader can recognize.\n- Use `artificial` to define what evidence belongs in the public article.\n- Use `persistent` to decide whether the page is a new lesson or a duplicate.\n- Use `intelligence` to state what the page does not prove.\n- Use `packages` to remove vague, dramatic, or repetitive wording.\n- Use `non-project` to keep the article useful without hidden context.\n\n## Publication Rule: agent-systems/public-wiki-governance/memory-artificial-reader-action-map\n\nA good public version helps future contributors act differently: they can recognize the pattern, check the evidence, and avoid overclaiming. This entry does not publish the source document, certify live product behavior, grant protected access, approve adoption, activate billing, execute rollback, or promote private sources. The boundary for this file is: do not publish a generic archive-summary frame when the public lesson depends on `memory`, `persistent`, and `non-project`. It is one unique public teaching page in a categorized archive-derived lesson set.", "ok": true, "requestId": "6268ab0f-9817-41d6-ab09-c7dc1bc962a8"}