{
  "id": 7924108,
  "title": "Cognitive Extensions for Dual-Process Language Agents: Memory and Self-Reflection in Interactive Environments",
  "url": "https://urgent.news/2026/09/16/cognitive-extensions-for-dual-process-language-agents-memory-and-self",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-16T17:50:42.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2609.19128v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Language agents remain brittle in interactive environments, where success requires long-horizon state tracking, valid action execution, and recovery from failed steps. We extend SwiftSage, a dual-process agent that combines a fast action proposer with a slower planner, using two modular cognitive extensions: an Adaptive Memory Module (AMM) for salience-gated episodic storage and trigger-driven…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}