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UID:pretalx-2025-XN3P7N@cfp.in.pycon.org
DTSTART;TZID=IST:20250913T113000
DTEND;TZID=IST:20250913T120000
DESCRIPTION:Most “AI” in production still behaves like a stateless func
 tion: useful\, but forgetful. This talk shows\, concretely\, how adding a 
 simple memory layer (write → retrieve → reflect → update) changes be
 havior without touching the model or tools. You’ll see A/B demos (memory
  OFF → ON) where the same LLM and the same toolset produce different\, b
 etter plans because history is now part of the input. We’ll keep it prac
 tical: a minimal schema for memories (Identity\, Principles\, Focus\, Sign
 als)\, where memory lives in the loop.\n\nWhat you’ll take away\nA menta
 l model: edit memory → edit agent (stateful reasoning\, not fine-tuning)
 .\nA production-ready memory loop you can add to any agent today.\nA minim
 al memory schema that keeps behavior explainable and debuggable.
DTSTAMP:20260715T165835Z
LOCATION:Track 1
SUMMARY:Memory is the Agent: Architecting Stateful Reasoning - Archit Singh
URL:https://cfp.in.pycon.org/2025/talk/XN3P7N/
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