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job 66064f32-7993-457d-a6e2-4ab59e8c96ee

2026-06-03 19:53:03 UTC · POST /memorize (async)

← back to listraw JSONholder: agent:omega-bot
endpointPOST /memorize (async) status200
holderagent:omega-bot sessiondiscord:1349727923434815519:1349727923434815522
elapsed56 ms modelupstream:opencode
facts0 rows returned
prompt tokens completion tokens
total tokens error

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.

# subject predicate object polarity modality conf aperture

request body

{
  "async": null,
  "extract": true,
  "facts": null,
  "holder": "agent:omega-bot",
  "images": [],
  "modality": "descriptive",
  "mode": "opencode",
  "passes": 1,
  "queue_id": null,
  "session_id": "discord:1349727923434815519:1349727923434815522",
  "text": "yaddd0572 in #general: ^^^ status-check on what I've been \"fleshing\" out..."
}

response body

{
  "aperture_yields": [],
  "dedup_collisions": 0,
  "elapsed_ms": 56,
  "episodic_record_id": "67269079-ce15-49a5-8ad4-e2f82c503051",
  "episodic_record_iri": "ctx:memory/episodic/76b6ac23-69ba-4ea7-b93d-ab005ef1a381",
  "extract_mode": "opencode",
  "extracted": true,
  "facts": [],
  "facts_extracted": 0,
  "facts_ingested": 0,
  "holder": "agent:omega-bot",
  "model": "upstream:opencode",
  "queue_id": "7ca45779-1ce0-4b32-a82b-f5d2c317ceff",
  "semantic_record_ids": [],
  "session_id": "discord:1349727923434815519:1349727923434815522",
  "usage": null,
  "warnings": [
    "opencode mode: no facts supplied (agent yielded none); episodic stored only"
  ]
}