{
  "schema_version": "newruntime-agent-readable-v0.1",
  "type": "trend_pattern",
  "slug": "company-memory-needs-write-loops",
  "title": "Company memory needs write and correction loops",
  "description": "Retrieval is only one stage of memory; durable organizational knowledge also needs scoped writes, corrections, provenance, versioning, and invalidation.",
  "thesis": "Company memory becomes useful when real work continuously updates a governed knowledge layer, not when an agent merely searches a larger document pile.",
  "status": "published",
  "confidence": "high",
  "first_seen": "2026-06-24",
  "last_verified": "2026-07-16",
  "supporting_signals": [
    "tg-2703",
    "tg-2695",
    "tg-2625",
    "tg-2525",
    "tg-2631"
  ],
  "related_posts": [
    "shared-document-human-agent",
    "unabyss-shared-context-layer"
  ],
  "counter_evidence": [
    "For stable reference material, ordinary retrieval over maintained documents can be sufficient and cheaper than a dedicated memory lifecycle.",
    "Automatic memory writes can amplify mistakes, stale assumptions, privacy violations, and unauthorized knowledge sharing."
  ],
  "revision_trigger": "Revise the thesis if retrieval-only systems match governed write-loop systems on repeated correction rate, freshness, provenance, access control, and rollback quality.",
  "topics": [
    "company-memory",
    "agent-memory",
    "knowledge-systems"
  ],
  "source_urls": [
    "https://promptql.io/",
    "https://aclanthology.org/2024.acl-long.747",
    "https://github.com/OpenDataBox/MemoryData",
    "https://careersatdoordash.com/blog/doordash-unified-consumer-memory-for-personalization-at-scale",
    "https://github.com/langchain-ai/openwiki"
  ],
  "routes": {
    "html": "https://newruntime.com/patterns/company-memory-needs-write-loops/",
    "markdown": "https://newruntime.com/patterns/company-memory-needs-write-loops.md",
    "json": "https://newruntime.com/patterns/company-memory-needs-write-loops.json"
  },
  "source_format": "markdown"
}