mlsanityData to 14 Oct 2026

Can LLM Agents Sustain Long-Horizon Organizational Dynamics?

arXiv 2606.01199 ↗First posted 31 May 2026cs.AIcited by 1

On the map: LLM agents and tool use → General LLM agent frameworks and benchmarks

Abstract (arXiv)

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-Diagnose-Align cycle and grounds execution through dependency-aware trace memory. We evaluate TaskWeave in a year-long IT company simulation and compare it with other multi-agent frameworks on organizational coherence, execution grounding, and downstream enterprise NLP utility. Experiments show that TaskWeave supports coherent and long-horizon organizational dynamics while producing grounded artifacts and adapting to external environments. These findings suggest that structured simulation memory is a key mechanism for building reliable LLM-based organizational simulators.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Placed in General LLM agent frameworks and benchmarks, one of 16 directions in LLM agents and tool use. Builds on 29 of its 55 references that are in the map. First posted on arXiv 31 May 2026.

Builds on

29 of 55 references.

Closest ancestors · 10

Same direction, newest first

  1. 2026Graph-of-Agents: A Graph-based Framework for Multi-Agent LLM Collaboration18 Apr
  2. 2025Survey on Evaluation of LLM-based Agents20 Mar
  3. 2024A Survey on LLM-based Multi-Agent System: Recent Advances and New Frontiers in Application23 Dec
  4. 2024Magentic-One: A Generalist Multi-Agent System for Solving Complex Tasks7 Nov
  5. 2024AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task Generation1 Aug
  6. 2024CoAct: A Global-Local Hierarchy for Autonomous Agent Collaboration19 Jun
  7. 2024Mixture-of-Agents Enhances Large Language Model Capabilities7 Jun
  8. 2024AgentScope: A Flexible yet Robust Multi-Agent Platform21 Feb
  9. 2024Small LLMs Are Weak Tool Learners: A Multi-LLM Agent14 Jan
  10. 2023CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society31 Mar

Other references · 19

  1. 2023Generative Agents: Interactive Simulacra of Human Behaviorcited by 3,568
  2. 2022Self-Instruct: Aligning Language Models with Self-Generated Instructionscited by 2,724
  3. 2023AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversationcited by 1,988
  4. 2023Improving Factuality and Reasoning in Language Models through Multiagent Debatecited by 1,784
  5. 2024OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environmentscited by 1,195
  6. 2024Agent Hospital: A Simulacrum of Hospital with Evolvable Medical Agentscited by 218
  7. 2024APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasetscited by 198
  8. 2023EconAgent: Large Language Model-Empowered Agents for Simulating Macroeconomic Activitiescited by 154
  9. 2023User Behavior Simulation with Large Language Model based Agentscited by 140
  10. 2023Generative agent-based modeling with actions grounded in physical, social, or digital space using Concordiacited by 126
  11. 2024Survey on Large Language Model-Enhanced Reinforcement Learning: Concept, Taxonomy, and Methodscited by 116
  12. 2024Multi-modal Agent Tuning: Building a VLM-Driven Agent for Efficient Tool Usagecited by 51
7 more
  1. 2025TwinMarket: A Scalable Behavioral and Social Simulation for Financial Marketscited by 48
  2. 2023Urban Generative Intelligence (UGI): A Foundational Platform for Agents in Embodied City Environmentcited by 37
  3. 2024A Synthetic Dataset for Personal Attribute Inferencecited by 36
  4. 2017Automated Discovery of Process Models from Event Logs: Review and Benchmarkcited by 28
  5. 2024Rethinking Negative Instances for Generative Named Entity Recognitioncited by 13
  6. 2023Robust Multi-Agent Reinforcement Learning by Mutual Information Regularizationcited by 6
  7. 2026A Safety-Aware Role-Orchestrated Multi-Agent LLM Framework for Behavioral Health Communication Simulationcited by 1

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 1.

1 paper.

  1. 2026Workerville: Towards an Organizational Behavior Account of Agent Safetycited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2026Organizational Memory for Agentic Business Process Execution
  2. 2026Agent Memory: Characterization and System Implications of Stateful Long-Horizon Workloads
  3. 2024Embodied LLM Agents Learn to Cooperate in Organized Teams
  4. 2025Reliable agent engineering should integrate machine-compatible organizational principles
  5. 2026How Fast Do Agents Rot? An Empirical Study of Long-Horizon Degradation in LLM Agents for Production Decision-Making
  6. 2026Frontier Autolab: Organizational Memory, Adversarial Dissent and Temporal Leakage in Multi-Agent LLM Firms Across Fifty Years of Technological Change
  7. 2026Toward an Organizational Science of Multi-Agent LLM Systems: Decoupling Who, How, and Which Algorithm
  8. 2025Empowering Real-World: A Survey on the Technology, Practice, and Evaluation of LLM-driven Industry Agents