job d08eb0e4-a174-4243-add1-662de52caed0

2026-06-03 09:35:20 UTC · POST /memorize (async)

extracted facts 0 rows

Every ontological statement the LLM produced from the memorized text. Each one becomes a real donto_statement row in the substrate.

{
  "async": null,
  "extract": true,
  "facts": null,
  "holder": "agent:omega-bot",
  "images": [],
  "modality": "descriptive",
  "mode": "opencode",
  "passes": 1,
  "queue_id": null,
  "session_id": "discord:1349727923434815519:1497274794586931220",
  "text": "ajaxdavis in #donto: is it making a jsonl? 😄 \n\nwould love to see the results"
}

{
  "aperture_yields": [],
  "dedup_collisions": 0,
  "elapsed_ms": 70,
  "episodic_record_id": "ab96b5eb-631e-45a0-97b1-9a1f280fec9b",
  "episodic_record_iri": "ctx:memory/episodic/bb870fa6-9c09-4419-8a70-476830d08ec7",
  "extract_mode": "opencode",
  "extracted": true,
  "facts": [],
  "facts_extracted": 0,
  "facts_ingested": 0,
  "holder": "agent:omega-bot",
  "model": "upstream:opencode",
  "queue_id": "fdcc07dd-0344-4fe2-b4f6-79b2bee39b2e",
  "semantic_record_ids": [],
  "session_id": "discord:1349727923434815519:1497274794586931220",
  "usage": null,
  "warnings": [
    "opencode mode: no facts supplied (agent yielded none); episodic stored only"
  ]
}