mlsanityData to 7 Oct 2026

VillagerAgent: A Graph-Based Multi-Agent Framework for Coordinating Complex Task Dependencies in Minecraft

arXiv 2406.05720 ↗First posted 9 Jun 2024cs.AI cs.MAcited by 34

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Cited by 25 in LLM agents and tool use, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

In this paper, we aim to evaluate multi-agent systems against complex dependencies, including spatial, causal, and temporal constraints. First, we construct a new benchmark, named VillagerBench, within the Minecraft environment.VillagerBench comprises diverse tasks crafted to test various aspects of multi-agent collaboration, from workload distribution to dynamic adaptation and synchronized task execution. Second, we introduce a Directed Acyclic Graph Multi-Agent Framework VillagerAgent to resolve complex inter-agent dependencies and enhance collaborative efficiency. This solution incorporates a task decomposer that creates a directed acyclic graph (DAG) for structured task management, an agent controller for task distribution, and a state manager for tracking environmental and agent data. Our empirical evaluation on VillagerBench demonstrates that VillagerAgent outperforms the existing AgentVerse model, reducing hallucinations and improving task decomposition efficacy. The results underscore VillagerAgent's potential in advancing multi-agent collaboration, offering a scalable and generalizable solution in dynamic environments. The source code is open-source on GitHub (https://github.com/cnsdqd-dyb/VillagerAgent).

Key facts. Cited by 34 papers in the map (data through 7 Oct 2026). Builds on 17 of its 24 references that are in the map. First posted on arXiv 9 Jun 2024.

Builds on

17 of 24 references.

References · 17

  1. 2022ReAct: Synergizing Reasoning and Acting in Language Modelscited by 8,355
  2. 2023A Survey on Large Language Model based Autonomous Agentscited by 2,203
  3. 2023AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversationcited by 1,906
  4. 2023CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Societycited by 1,348
  5. 2022Inner Monologue: Embodied Reasoning through Planning with Language Modelscited by 1,057
  6. 2022Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agentscited by 1,029
  7. 2021GLM: General Language Model Pretraining with Autoregressive Blank Infillingcited by 1,026
  8. 2023AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviorscited by 580
  9. 2023Identifying the Risks of LM Agents with an LM-Emulated Sandboxcited by 514
  10. 2023Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agentscited by 396
  11. 2019On the Utility of Learning about Humans for Human-AI Coordinationcited by 345
  12. 2023Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memorycited by 288
5 more
  1. 2023OpenAgents: An Open Platform for Language Agents in the Wildcited by 136
  2. 2023SmartPlay: A Benchmark for LLMs as Intelligent Agentscited by 123
  3. 2023Experiential Co-Learning of Software-Developing Agentscited by 57
  4. 2023Skill Reinforcement Learning and Planning for Open-World Long-Horizon Taskscited by 35
  5. 2023MCU: An Evaluation Framework for Open-Ended Game Agentscited by 33

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 2; 2025: 21; 2026: 11.

34 papers.

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  1. 2025Multi-Agent Collaboration Mechanisms: A Survey of LLMscited by 424
  2. 2025MultiAgentBench: Evaluating the Collaboration and Competition of LLM agentscited by 169
  3. 2025Lifelong Learning of Large Language Model based Agents: A Roadmapcited by 78
  4. 2025A Survey on (M)LLM-Based GUI Agentscited by 61
  5. 2024Project Sid: Many-agent simulations toward AI civilizationcited by 46
  6. 2025Collab-Overcooked: Benchmarking and Evaluating Large Language Models as Collaborative Agentscited by 39
  7. 2024Advancing Agentic Systems: Dynamic Task Decomposition, Tool Integration and Evaluation using Novel Metrics and Datasetcited by 24
  8. 2025Graphs Meet AI Agents: Taxonomy, Progress, and Future Opportunitiescited by 23
  9. 2025AgentMaster: A Multi-Agent Conversational Framework Using A2A and MCP Protocols for Multimodal Information Retrieval and Analysiscited by 13
  10. 2025Position: The Real Barrier to LLM Agent Usability is Agentic ROIcited by 12
  11. 2025BIMgent: Towards Autonomous Building Modeling via Computer-use Agentscited by 10
  12. 2026The Five Ws of Multi-Agent Communication: Who Talks to Whom, When, What, and Why -- A Survey from MARL to Emergent Language and LLMscited by 10
22 more
  1. 2025Benchmarking LLMs' Swarm intelligencecited by 8
  2. 2025CausalMACE: Causality Empowered Multi-Agents in Minecraft Cooperative Taskscited by 8
  3. 2025VisEscape: A Benchmark for Evaluating Exploration-driven Decision-making in Virtual Escape Roomscited by 6
  4. 2025Parallelized Planning-Acting for Efficient LLM-based Multi-Agent Systems in Minecraftcited by 5
  5. 2025GEMMAS: Graph-based Evaluation Metrics for Multi Agent Systemscited by 5
  6. 2026PAC-BENCH: Evaluating Multi-Agent Collaboration under Privacy Constraintscited by 5
  7. 2025Multi-level Value Alignment in Agentic AI Systems: Survey and Perspectivescited by 4
  8. 2025PillagerBench: Benchmarking LLM-Based Agents in Competitive Minecraft Team Environmentscited by 4
  9. 2026Experience Transfer for Multimodal LLM Agents in Minecraft Gamecited by 4
  10. 2025GraphicBench: A Planning Benchmark for Graphic Design with Language Agentscited by 3
  11. 2025An Efficient Open World Environment for Multi-Agent Social Learningcited by 3
  12. 2025RepoTransAgent: Multi-Agent LLM Framework for Repository-Aware Code Translationcited by 3
  13. 2026MECoBench: A Systematic Study of Multimodal Agent Collaboration in Embodied Environmentscited by 2
  14. 2025GuessBench: Sensemaking Multimodal Creativity in the Wildcited by 1
  15. 2026Multi-agent Framework for Time-Sensitive Complementary Collaboration in Minecraftcited by 1
  16. 2026Position: Multi-Agent Systems Should Prioritize Concurrency Controlcited by 1
  17. 2025Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Reviewcited by 0
  18. 2026TrafficClaw: A Generalizable LLM Agent in the Unified Physical Environment for Urban Traffic Controlcited by 0
  19. 2026GBC: Gradient-Based Connections for Optimizing Multi-Agent Systemscited by 0
  20. 2026HyperAgent: Planning and Acting over Tool-Schema Hypergraphs for Tool-Use LLM Agentscited by 0
  21. 2026GenCoord: Skill-Path Commitments under Private Informationcited by 0
  22. 2026Right Answers, Wrong States: Hidden Information Failures in Multi-Agent Collaborationcited by 0