mlsanityData to 14 Oct 2026

MorphAgent: Empowering Agents through Self-Evolving Profiles and Decentralized Collaboration

arXiv 2410.15048 ↗First posted 19 Oct 2024cs.AIcited by 16

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

also in 1 more
Abstract (arXiv)

Large Language Model (LLM) based multi-agent systems (MAS) have shown promise in tackling complex tasks, but often rely on predefined roles and centralized coordination, limiting their adaptability to evolving challenges. This paper introduces MorphAgent, a novel Autonomous, Self-Organizing, and Self-Adaptive Multi-Agent System for decentralized agent collaboration that enables agents to dynamically evolve their roles and capabilities. Our approach employs self-evolving agent profiles, optimized through three key metrics, guiding agents in refining their individual expertise while maintaining complementary team dynamics. MorphAgent implements a two-phase process: a Profile Update phase for profile optimization, followed by a Task Execution phase where agents continuously adapt their roles based on task feedback. Our experimental results show that MorphAgent outperforms existing frameworks in terms of task performance and adaptability to changing requirements, paving the way for more robust and versatile multi-agent collaborative systems.

Key facts. Cited by 16 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 47 references that are in the map. First posted on arXiv 19 Oct 2024.

Builds on

30 of 47 references.

Closest ancestors · 13

Same direction, newest first

  1. 2024Agent-Oriented Planning in Multi-Agent Systems3 Oct
  2. 2024Automated Design of Agentic Systems15 Aug
  3. 2024Scaling Large Language Model-based Multi-Agent Collaboration11 Jun
  4. 2024Embodied LLM Agents Learn to Cooperate in Organized Teams19 Mar
  5. 2024LLM Multi-Agent Systems: Challenges and Open Problems5 Feb
  6. 2024Large Language Model based Multi-Agents: A Survey of Progress and Challenges21 Jan
  7. 2023SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents18 Oct
  8. 2023A Survey on Large Language Model based Autonomous Agents22 Aug
  9. 2023ProAgent: Building Proactive Cooperative Agents with Large Language Models22 Aug
  10. 2023AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors21 Aug
  11. 2023ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate14 Aug
  12. 2023MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework1 Aug
1 more
  1. 2023CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society31 Mar

Other references · 17

  1. 2023GPT-4 Technical Reportcited by 18,396
  2. 2023LLaMA: Open and Efficient Foundation Language Modelscited by 14,132
  3. 2022ReAct: Synergizing Reasoning and Acting in Language Modelscited by 8,695
  4. 2021Measuring Mathematical Problem Solving With the MATH Datasetcited by 5,371
  5. 2023Reflexion: Language Agents with Verbal Reinforcement Learningcited by 4,276
  6. 2023Self-Refine: Iterative Refinement with Self-Feedbackcited by 3,442
  7. 2023SWE-bench: Can Language Models Resolve Real-World GitHub Issues?cited by 3,373
  8. 2022Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Themcited by 1,807
  9. 2022Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agentscited by 1,035
  10. 2023ChatDev: Communicative Agents for Software Developmentcited by 919
  11. 2024BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructionscited by 546
  12. 2024AFlow: Automating Agentic Workflow Generationcited by 432
5 more
  1. 2023Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planningcited by 207
  2. 2023Training Socially Aligned Language Models on Simulated Social Interactionscited by 78
  3. 2024The Benefits of a Concise Chain of Thought on Problem-Solving in Large Language Modelscited by 63
  4. 2024Building Better AI Agents: A Provocation on the Utilisation of Persona in LLM-based Conversational Agentscited by 26
  5. 2024Cooperative Resilience in Artificial Intelligence Multiagent Systemscited by 8

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 7; 2026: 9.

16 papers.

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By area:

  1. 2025AgentNet: Decentralized Evolutionary Coordination for LLM-based Multi-Agent Systemscited by 90
  2. 2025Stochastic Self-Organization in Multi-Agent Systemscited by 9
  3. 2026Beyond Individual Intelligence: Surveying Collaboration, Failure Attribution, and Self-Evolution in LLM-based Multi-Agent Systemscited by 6
  4. 2026EvoFSM: Controllable Self-Evolution for Deep Research with Finite State Machinescited by 5
  5. 2026MonoScale: Scaling Multi-Agent System with Monotonic Improvementcited by 5
  6. 2026SkillMAS: Skill Co-Evolution with LLM-based Multi-Agent Systemcited by 5
  7. 2025PhenoAssistant: A Conversational Multi-Agent AI System for Automated Plant Phenotypingcited by 4
  8. 2025UserCentrix: An Agentic Memory-augmented AI Framework for Smart Spacescited by 4
  9. 2025LLM Enabled Multi-Agent System for 6G Networks: Framework and Method of Dual-Loop Edge-Terminal Collaborationcited by 3
  10. 2026Symphony-Coord: Adaptive Routing for Multi-Agent LLM Systemscited by 2
  11. 2026Response-Conditioned Parallel-to-Sequential Orchestration for Multi-Agent Systemscited by 1
  12. 2025Simulating Teams with LLM Agents: Interactive 2D Environments for Studying Human-AI Dynamicscited by 0
4 more
  1. 2025Who Gets the Reward & Who Gets the Blame? Evaluation-Aligned Training Signals for Multi-LLM Agentscited by 0
  2. 2026OrchMAS: Orchestrated Reasoning with Multi Collaborative Heterogeneous Scientific Expert Structured Agentscited by 0
  3. 2026DEALS: Decentralized Expertise-Aware Load Serving for Multi-Agent LLM Systemscited by 0
  4. 2026The Wealth of Agents: Scaling Agentic AI Across Developerscited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2025Multi-Agent Collaboration via Evolving Orchestration
  2. 2026Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems
  3. 2025AgentInit: Initializing LLM-based Multi-Agent Systems via Diversity and Expertise Orchestration for Effective and Efficient Collaboration
  4. 2026DIG to Heal: Scaling General-purpose Agent Collaboration via Explainable Dynamic Decision Paths
  5. 2025LLMs Working in Harmony: A Survey on the Technological Aspects of Building Effective LLM-Based Multi Agent Systems
  6. 2024S-Agents: Self-organizing Agents in Open-ended Environments
  7. 2026Adaptive Orchestration: Scalable Self-Evolving Multi-Agent Systems
  8. 2026Improving the Efficiency of Language Agent Teams with Adaptive Task Graphs