mlsanityData to 14 Oct 2026

AutoAgents: A Framework for Automatic Agent Generation

arXiv 2309.17288 ↗First posted 29 Sep 2023cs.AIcited by 216

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

Abstract (arXiv)

Large language models (LLMs) have enabled remarkable advances in automated task-solving with multi-agent systems. However, most existing LLM-based multi-agent approaches rely on predefined agents to handle simple tasks, limiting the adaptability of multi-agent collaboration to different scenarios. Therefore, we introduce AutoAgents, an innovative framework that adaptively generates and coordinates multiple specialized agents to build an AI team according to different tasks. Specifically, AutoAgents couples the relationship between tasks and roles by dynamically generating multiple required agents based on task content and planning solutions for the current task based on the generated expert agents. Multiple specialized agents collaborate with each other to efficiently accomplish tasks. Concurrently, an observer role is incorporated into the framework to reflect on the designated plans and agents' responses and improve upon them. Our experiments on various benchmarks demonstrate that AutoAgents generates more coherent and accurate solutions than the existing multi-agent methods. This underscores the significance of assigning different roles to different tasks and of team cooperation, offering new perspectives for tackling complex tasks. The repository of this project is available at https://github.com/Link-AGI/AutoAgents.

Key facts. Cited by 216 papers 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 30 of its 45 references that are in the map. First posted on arXiv 29 Sep 2023.

Builds on

30 of 45 references.

Closest ancestors · 5

Same direction, newest first

  1. 2023AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors21 Aug
  2. 2023ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate14 Aug
  3. 2023MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework1 Aug
  4. 2023Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration11 Jul
  5. 2023Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM Agents5 Jun

Other references · 25

  1. 2023GPT-4 Technical Reportcited by 18,396
  2. 2022ReAct: Synergizing Reasoning and Acting in Language Modelscited by 8,695
  3. 2023Judging LLM-as-a-Judge with MT-Bench and Chatbot Arenacited by 8,626
  4. 2023Generative Agents: Interactive Simulacra of Human Behaviorcited by 3,568
  5. 2023Self-Refine: Iterative Refinement with Self-Feedbackcited by 3,442
  6. 2023Tree of Thoughts: Deliberate Problem Solving with Large Language Modelscited by 3,211
  7. 2017TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehensioncited by 2,955
  8. 2023Sparks of Artificial General Intelligence: Early experiments with GPT-4cited by 2,592
  9. 2023Improving Factuality and Reasoning in Language Models through Multiagent Debatecited by 1,784
  10. 2023Large Language Models are not Fair Evaluatorscited by 1,085
  11. 2022Inner Monologue: Embodied Reasoning through Planning with Language Modelscited by 1,081
  12. 2023Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debatecited by 1,011
13 more
  1. 2023Teaching Large Language Models to Self-Debugcited by 988
  2. 2020On Faithfulness and Factuality in Abstractive Summarizationcited by 900
  3. 2023CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquingcited by 783
  4. 2023DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Modelscited by 518
  5. 2023Is ChatGPT a General-Purpose Natural Language Processing Task Solver?cited by 488
  6. 2022Social Simulacra: Creating Populated Prototypes for Social Computing Systemscited by 301
  7. 2023Improving Language Model Negotiation with Self-Play and In-Context Learning from AI Feedbackcited by 207
  8. 2023ExpertPrompting: Instructing Large Language Models to be Distinguished Expertscited by 142
  9. 2023LLaSM: Large Language and Speech Modelcited by 58
  10. 2023Epidemic Modeling with Generative Agentscited by 49
  11. 2023ChatLLM Network: More brains, More intelligencecited by 37
  12. 2023Training Full Spike Neural Networks via Auxiliary Accumulation Pathwaycited by 26
  13. 2023Flows: Building Blocks of Reasoning and Collaborating AIcited by 25

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 4; 2024: 58; 2025: 94; 2026: 60.

216 papers.

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By area:

  1. 2024Large Language Model based Multi-Agents: A Survey of Progress and Challengescited by 769
  2. 2025Multi-Agent Collaboration Mechanisms: A Survey of LLMscited by 431
  3. 2025Agent Laboratory: Using LLM Agents as Research Assistantscited by 425
  4. 2024More Agents Is All You Needcited by 180
  5. 2025A Survey of Reinforcement Learning for Large Reasoning Modelscited by 180
  6. 2025Multi-agent Architecture Search via Agentic Supernetcited by 179
  7. 2024Large Language Model-Based Agents for Software Engineering: A Surveycited by 178
  8. 2024UFO: A UI-Focused Agent for Windows OS Interactioncited by 148
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  10. 2024Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffoldingcited by 117
  11. 2025Alita: Generalist Agent Enabling Scalable Agentic Reasoning with Minimal Predefinition and Maximal Self-Evolutioncited by 116
  12. 2025AgenTracer: Who Is Inducing Failure in the LLM Agentic Systems?cited by 116
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  6. 2024Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Modelscited by 91
  7. 2024Language Agents as Optimizable Graphscited by 89
  8. 2024I-Design: Personalized LLM Interior Designercited by 87
  9. 2024Flooding Spread of Manipulated Knowledge in LLM-Based Multi-Agent Communitiescited by 86
  10. 2024From Individual to Society: A Survey on Social Simulation Driven by Large Language Model-based Agentscited by 82
  11. 2024AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planningcited by 81
  12. 2025MedAgent-Pro: Towards Evidence-based Multi-modal Medical Diagnosis via Reasoning Agentic Workflowcited by 73
  13. 2023Unleashing the potential of prompt engineering for large language modelscited by 72
  14. 2024Self-Contrast: Better Reflection Through Inconsistent Solving Perspectivescited by 71
  15. 2025PaSa: An LLM Agent for Comprehensive Academic Paper Searchcited by 64
  16. 2025FlowReasoner: Reinforcing Query-Level Meta-Agentscited by 63
  17. 2024KnowAgent: Knowledge-Augmented Planning for LLM-Based Agentscited by 61
  18. 2024Agents' Room: Narrative Generation through Multi-step Collaborationcited by 57
  19. 2025ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimizationcited by 56
  20. 2024A Survey on LLM-based Multi-Agent System: Recent Advances and New Frontiers in Applicationcited by 55
  21. 2025EvoFlow: Evolving Diverse Agentic Workflows On The Flycited by 55
  22. 2026A Survey of Agentic Reasoning for Large Language Models: Towards Recursively Self-Improving and Collective Agentscited by 50
  23. 2023LLM-Powered Hierarchical Language Agent for Real-time Human-AI Coordinationcited by 48
  24. 2025AppAgentX: Evolving GUI Agents as Proficient Smartphone Userscited by 46
  25. 2024AGILE: A Novel Reinforcement Learning Framework of LLM Agentscited by 45
  26. 2024FlowBench: Revisiting and Benchmarking Workflow-Guided Planning for LLM-based Agentscited by 40
  27. 2024Adaptive In-conversation Team Building for Language Model Agentscited by 39
  28. 2024Agent-Oriented Planning in Multi-Agent Systemscited by 36
  29. 2024SuffixDecoding: Extreme Speculative Decoding for Emerging AI Applicationscited by 36
  30. 2026AOrchestra: Automating Sub-Agent Creation for Agentic Orchestrationcited by 35
  31. 2025Semantic-Aware Logical Reasoning via a Semiotic Frameworkcited by 32
  32. 2024How Far Are We From AGI: Are LLMs All We Need?cited by 31
  33. 2025AgentDistill: Training-Free Agent Distillation with Generalizable MCP Boxescited by 30
  34. 2024NetSafe: Exploring the Topological Safety of Multi-agent Networkscited by 29
  35. 2025Adaptive Graph Pruning for Multi-Agent Communicationcited by 29
  36. 2025Agentic AI Security: Threats, Defenses, Evaluation, and Open Challengescited by 28
  37. 2024AgentCoord: Visually Exploring Coordination Strategy for LLM-based Multi-Agent Collaborationcited by 26
  38. 2024Large Model Based Agents: State-of-the-Art, Cooperation Paradigms, Security and Privacy, and Future Trendscited by 26

50 most cited of 216 All 216 (JSON)

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