Can LLM Agents Sustain Long-Horizon Organizational Dynamics?
Large language agents are increasingly used for social simulation, yet it remains unclear whether they can sustain coherent behavior in structured organizations, where goals must propagate through hierarchy, tasks depend on prior execution, and artifacts accumulate over long horizons. We formulate long-horizon organizational simulation as a memory-centered coordination problem and introduce TaskWeave, a hierarchical agentic framework that maintains planning states through a Formulate-Partition-D
Record details
Published: 31 May 2026
Source: arXiv
Category: Research
Topics: Agents & autonomy
Retrieved: 14 July 2026
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ethics.ai (31 May 2026), “Can LLM Agents Sustain Long-Horizon Organizational Dynamics?,” evidence record 3345, https://ethics.ai/record/3345 (originally published by arXiv).
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