mlsanityData to 7 Oct 2026

AgentScope: A Flexible yet Robust Multi-Agent Platform

arXiv 2402.14034 ↗First posted 21 Feb 2024cs.MA cs.AIcited by 120

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

Abstract (arXiv)

With the rapid advancement of Large Language Models (LLMs), significant progress has been made in multi-agent applications. However, the complexities in coordinating agents' cooperation and LLMs' erratic performance pose notable challenges in developing robust and efficient multi-agent applications. To tackle these challenges, we propose AgentScope, a developer-centric multi-agent platform with message exchange as its core communication mechanism. The abundant syntactic tools, built-in agents and service functions, user-friendly interfaces for application demonstration and utility monitor, zero-code programming workstation, and automatic prompt tuning mechanism significantly lower the barriers to both development and deployment. Towards robust and flexible multi-agent application, AgentScope provides both built-in and customizable fault tolerance mechanisms. At the same time, it is also armed with system-level support for managing and utilizing multi-modal data, tools, and external knowledge. Additionally, we design an actor-based distribution framework, enabling easy conversion between local and distributed deployments and automatic parallel optimization without extra effort. With these features, AgentScope empowers developers to build applications that fully realize the potential of intelligent agents. We have released AgentScope at https://github.com/modelscope/agentscope, and hope AgentScope invites wider participation and innovation in this fast-moving field.

Key facts. Cited by 120 papers in the map (data through 7 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 42 references that are in the map. First posted on arXiv 21 Feb 2024.

Builds on

29 of 42 references.

Closest ancestors · 7

Same direction, newest first

  1. 2024Small LLMs Are Weak Tool Learners: A Multi-LLM Agent14 Jan
  2. 2023OpenAgents: An Open Platform for Language Agents in the Wild16 Oct
  3. 2023Agents: An Open-source Framework for Autonomous Language Agents14 Sep
  4. 2023The Rise and Potential of Large Language Model Based Agents: A Survey14 Sep
  5. 2023ModelScope-Agent: Building Your Customizable Agent System with Open-source Large Language Models2 Sep
  6. 2023A Survey on Large Language Model based Autonomous Agents22 Aug
  7. 2023MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework1 Aug

Other references · 22

  1. 2019PyTorch: An Imperative Style, High-Performance Deep Learning Librarycited by 20,160
  2. 2023GPT-4 Technical Reportcited by 18,132
  3. 2022Training language models to follow instructions with human feedbackcited by 15,712
  4. 2023LLaMA: Open and Efficient Foundation Language Modelscited by 13,958
  5. 2023Llama 2: Open Foundation and Fine-Tuned Chat Modelscited by 12,865
  6. 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,160
  7. 2022ReAct: Synergizing Reasoning and Acting in Language Modelscited by 8,355
  8. 2023Generative Agents: Interactive Simulacra of Human Behaviorcited by 3,500
  9. 2022Emergent Abilities of Large Language Modelscited by 2,483
  10. 2023Retrieval-Augmented Generation for Large Language Models: A Surveycited by 2,185
  11. 2023Improving Factuality and Reasoning in Language Models through Multiagent Debatecited by 1,739
  12. 2023Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Modelscited by 695
10 more
  1. 2023Automatic Prompt Optimization with "Gradient Descent" and Beam Searchcited by 628
  2. 2023Instruction Tuning for Large Language Models: A Surveycited by 617
  3. 2023A Survey of Hallucination in Large Foundation Modelscited by 365
  4. 2022TALM: Tool Augmented Language Modelscited by 197
  5. 2023ART: Automatic multi-step reasoning and tool-use for large language modelscited by 193
  6. 2019Gradio: Hassle-Free Sharing and Testing of ML Models in the Wildcited by 176
  7. 2024Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffoldingcited by 115
  8. 2023AgentSims: An Open-Source Sandbox for Large Language Model Evaluationcited by 86
  9. 2019From Language to Goals: Inverse Reinforcement Learning for Vision-Based Instruction Followingcited by 67
  10. 2022Towards All-in-one Pre-training via Maximizing Multi-modal Mutual Informationcited by 31

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 15; 2025: 56; 2026: 49.

120 papers.

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  1. 2025AgentSociety: Large-Scale Simulation of LLM-Driven Generative Agents Advances Understanding of Human Behaviors and Societycited by 180
  2. 2024OASIS: Open Agent Social Interaction Simulations with One Million Agentscited by 127
  3. 2025Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systemscited by 125
  4. 2025Red-Teaming LLM Multi-Agent Systems via Communication Attackscited by 118
  5. 2024A Survey on Large Language Model-Based Game Agentscited by 106
  6. 2025Towards Scientific Intelligence: A Survey of LLM-based Scientific Agentscited by 96
  7. 2025On-Policy RL Meets Off-Policy Experts: Harmonizing Supervised Fine-Tuning and Reinforcement Learning via Dynamic Weightingcited by 88
  8. 2024From Individual to Society: A Survey on Social Simulation Driven by Large Language Model-based Agentscited by 76
  9. 2024Many Heads Are Better Than One: Improved Scientific Idea Generation by A LLM-Based Multi-Agent Systemcited by 63
  10. 2025SagaLLM: Context Management, Validation, and Transaction Guarantees for Multi-Agent LLM Planningcited by 58
  11. 2025KVFlow: Efficient Prefix Caching for Accelerating LLM-Based Multi-Agent Workflowscited by 56
  12. 2024A Survey on LLM-based Multi-Agent System: Recent Advances and New Frontiers in Applicationcited by 54
38 more
  1. 2025A Survey on the Optimization of Large Language Model-based Agentscited by 45
  2. 2025EvoAgentX: An Automated Framework for Evolving Agentic Workflowscited by 43
  3. 2025BlindGuard: Safeguarding LLM-based Multi-Agent Systems under Unknown Attackscited by 37
  4. 2024Agent-Oriented Planning in Multi-Agent Systemscited by 34
  5. 2024TS-Reasoner: Domain-Oriented Time Series Inference Agents for Reasoning and Automated Analysiscited by 28
  6. 2025MiniRAG: Towards Extremely Simple Retrieval-Augmented Generationcited by 28
  7. 2025A Comprehensive Survey on Multi-Agent Cooperative Decision-Making: Scenarios, Approaches, Challenges and Perspectivescited by 27
  8. 2024Provable Scaling Laws for the Test-Time Compute of Large Language Modelscited by 25
  9. 2024Multi-Agent Large Language Models for Conversational Task-Solvingcited by 24
  10. 2025RCR-Router: Efficient Role-Aware Context Routing for Multi-Agent LLM Systems with Structured Memorycited by 24
  11. 2026Benchmark Test-Time Scaling of General LLM Agentscited by 24
  12. 2024LLM-based Multi-Agent Systems: Techniques and Business Perspectivescited by 22
  13. 2024Scalable and Accurate Graph Reasoning with LLM-based Multi-Agentscited by 21
  14. 2025DynTaskMAS: A Dynamic Task Graph-driven Framework for Asynchronous and Parallel LLM-based Multi-Agent Systemscited by 20
  15. 2025Trinity-RFT: A General-Purpose and Unified Framework for Reinforcement Fine-Tuning of Large Language Modelscited by 19
  16. 2026From Storage to Experience: A Survey on the Evolution of LLM Agent Memory Mechanismscited by 19
  17. 2024Very Large-Scale Multi-Agent Simulation in AgentScopecited by 18
  18. 2025SEW: Self-Evolving Agentic Workflows for Automated Code Generationcited by 18
  19. 2025RecoWorld: Building Simulated Environments for Agentic Recommender Systemscited by 18
  20. 2025MemEngine: A Unified and Modular Library for Developing Advanced Memory of LLM-based Agentscited by 17
  21. 2025TokenCake: A KV-Cache-centric Serving Framework for LLM-based Multi-Agent Applicationscited by 16
  22. 2025MALLM: Multi-Agent Large Language Models Frameworkcited by 15
  23. 2025An Empirical Study on Failures in Automated Issue Solvingcited by 15
  24. 2026TemporalBench: A Benchmark for Evaluating LLM-Based Agents on Contextual and Event-Informed Time Series Taskscited by 15
  25. 2025Environment Scaling for Interactive Agentic Experience Collection: A Surveycited by 13
  26. 2025MF-LLM: Simulating Population Decision Dynamics via a Mean-Field Large Language Model Frameworkcited by 12
  27. 2025When LLM Meets Time Series: Can LLMs Perform Multi-Step Time Series Reasoning and Inferencecited by 12
  28. 2024LLM-Based Multi-Agent Systems are Scalable Graph Generative Modelscited by 11
  29. 2025YuLan-OneSim: Towards the Next Generation of Social Simulator with Large Language Modelscited by 11
  30. 2025The Trust Paradox in LLM-Based Multi-Agent Systems: When Collaboration Becomes a Security Vulnerabilitycited by 11
  31. 2025Exploring the Necessity of Reasoning in LLM-based Agent Scenarioscited by 10
  32. 2025GATSim: Urban Mobility Simulation with Generative Agentscited by 10
  33. 2026Efficient LLM Serving for Agentic Workflows: A Data Systems Perspectivecited by 10
  34. 2025Automated Profile Inference with Language Model Agentscited by 9
  35. 2025Maestro: Joint Graph & Config Optimization for Reliable AI Agentscited by 9
  36. 2025Mitigating Manipulation and Enhancing Persuasion: A Reflective Multi-Agent Approach for Legal Argument Generationcited by 8
  37. 2025Modeling Earth-Scale Human-Like Societies with One Billion Agentscited by 8
  38. 2025CuES: A Curiosity-driven and Environment-grounded Synthesis Framework for Agentic RLcited by 8

50 most cited of 120 All 120 (JSON)

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  5. 2026Decentralized Multi-Agent Systems with Shared Context
  6. 2025Cerebrum (AIOS SDK): A Platform for Agent Development, Deployment, Distribution, and Discovery
  7. 2025An Empirical Study of Agent Developer Practices in AI Agent Frameworks
  8. 2025Multi-Mission Tool Bench: Assessing the Robustness of LLM based Agents through Related and Dynamic Missions