{
  "schema_version": "newruntime-agent-readable-v0.1",
  "type": "raw_signal",
  "id": "tg-2625",
  "slug": "agent-memory-evaluated-as-system-behavior",
  "title": "Agent memory is being evaluated as system behavior",
  "description": "MemoryData evaluates what an agent stores, retrieves, updates, and forgets across a sequence instead of grading one final answer.",
  "observed_at": "2026-07-06",
  "why_it_matters": "Useful memory is a lifecycle with write and invalidation decisions, so point-in-time retrieval metrics cannot establish whether an agent learns safely over time.",
  "novelty": "structural",
  "verification_level": "source-inspected",
  "signal_type": "field-report",
  "evidence_kind": "mixed",
  "status": "published",
  "telegram_message_id": 2625,
  "telegram_url": "https://t.me/qwgai/2625",
  "topics": [
    "agent-memory",
    "evals",
    "knowledge-systems"
  ],
  "entities": [
    "MemoryData"
  ],
  "related_patterns": [],
  "source_urls": [
    "https://huggingface.co/papers/2606.24775",
    "https://github.com/OpenDataBox/MemoryData"
  ],
  "import_batch": "telegram-2026-07-17-v1",
  "routes": {
    "html": "https://newruntime.com/signals/agent-memory-evaluated-as-system-behavior/",
    "markdown": "https://newruntime.com/signals/agent-memory-evaluated-as-system-behavior.md",
    "json": "https://newruntime.com/signals/agent-memory-evaluated-as-system-behavior.json"
  },
  "source_format": "telegram-export-normalized-json"
}