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job 09a6f338-1d7f-4520-aba1-0e727c27683d

2026-06-03 06:18:13 UTC · POST /memorize (async)

← back to listraw JSONholder: agent:omega-bot
endpointPOST /memorize (async) status200
holderagent:omega-bot sessiondiscord:1349727923434815519:1349967527178145852
elapsed64 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:1349727923434815519:1349967527178145852",
  "text": "ajaxdavis in #resources: wel i'd go further and say surely they would have tried this and it probably didn't work that well"
}

response body

{
  "aperture_yields": [],
  "dedup_collisions": 0,
  "elapsed_ms": 64,
  "episodic_record_id": "4207aaf8-89b4-45c7-a46d-de0d88e38c24",
  "episodic_record_iri": "ctx:memory/episodic/71f50f92-9f0a-44cc-9575-3066057b8832",
  "extract_mode": "opencode",
  "extracted": true,
  "facts": [],
  "facts_extracted": 0,
  "facts_ingested": 0,
  "holder": "agent:omega-bot",
  "model": "upstream:opencode",
  "queue_id": "a2580131-835c-478e-9936-82981c1ec4eb",
  "semantic_record_ids": [],
  "session_id": "discord:1349727923434815519:1349967527178145852",
  "usage": null,
  "warnings": [
    "opencode mode: no facts supplied (agent yielded none); episodic stored only"
  ]
}