mlsanityData to 7 Oct 2026

AgentLite: A Lightweight Library for Building and Advancing Task-Oriented LLM Agent System

arXiv 2402.15538 ↗First posted 23 Feb 2024cs.MA cs.AIcited by 53

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

Abstract (arXiv)

The booming success of LLMs initiates rapid development in LLM agents. Though the foundation of an LLM agent is the generative model, it is critical to devise the optimal reasoning strategies and agent architectures. Accordingly, LLM agent research advances from the simple chain-of-thought prompting to more complex ReAct and Reflection reasoning strategy; agent architecture also evolves from single agent generation to multi-agent conversation, as well as multi-LLM multi-agent group chat. However, with the existing intricate frameworks and libraries, creating and evaluating new reasoning strategies and agent architectures has become a complex challenge, which hinders research investigation into LLM agents. Thus, we open-source a new AI agent library, AgentLite, which simplifies this process by offering a lightweight, user-friendly platform for innovating LLM agent reasoning, architectures, and applications with ease. AgentLite is a task-oriented framework designed to enhance the ability of agents to break down tasks and facilitate the development of multi-agent systems. Furthermore, we introduce multiple practical applications developed with AgentLite to demonstrate its convenience and flexibility. Get started now at: urlhttps://github.com/SalesforceAIResearch/AgentLite.

Key facts. Cited by 53 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 16 of its 21 references that are in the map. First posted on arXiv 23 Feb 2024.

Builds on

16 of 21 references.

Closest ancestors · 2

Same direction, newest first

  1. 2023BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents11 Aug
  2. 2023CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society31 Mar

Other references · 14

  1. 2022ReAct: Synergizing Reasoning and Acting in Language Modelscited by 8,355
  2. 2023Toolformer: Language Models Can Teach Themselves to Use Toolscited by 4,072
  3. 2023Reflexion: Language Agents with Verbal Reinforcement Learningcited by 4,064
  4. 2018HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answeringcited by 3,686
  5. 2023Generative Agents: Interactive Simulacra of Human Behaviorcited by 3,500
  6. 2023WebArena: A Realistic Web Environment for Building Autonomous Agentscited by 1,908
  7. 2023ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIscited by 1,880
  8. 2024Mixtral of Expertscited by 1,785
  9. 2023Gorilla: Large Language Model Connected with Massive APIscited by 1,302
  10. 2023Mind2Web: Towards a Generalist Agent for the Webcited by 1,210
  11. 2022WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agentscited by 1,197
  12. 2024GPT-4V(ision) is a Generalist Web Agent, if Groundedcited by 547
2 more
  1. 2023ReWOO: Decoupling Reasoning from Observations for Efficient Augmented Language Modelscited by 174
  2. 2023DRDT: Dynamic Reflection with Divergent Thinking for LLM-based Sequential Recommendationcited by 27

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 16; 2025: 25; 2026: 12.

53 papers.

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  1. 2025A-MEM: Agentic Memory for LLM Agentscited by 1,000
  2. 2024APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasetscited by 188
  3. 2024xLAM: A Family of Large Action Models to Empower AI Agent Systemscited by 108
  4. 2025Seeing, Listening, Remembering, and Reasoning: A Multimodal Agent with Long-Term Memorycited by 88
  5. 2024From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Futurecited by 85
  6. 2024A Systematic Survey on Large Language Models for Algorithm Designcited by 65
  7. 2026A Survey of Agent Memory in the Second Half: Towards Self-Evolving and Long-Horizon Agentscited by 40
  8. 2024Richelieu: Self-Evolving LLM-Based Agents for AI Diplomacycited by 36
  9. 2024Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agentscited by 35
  10. 2025Towards Agentic Recommender Systems in the Era of Multimodal Large Language Modelscited by 25
  11. 2024ReAct Meets ActRe: When Language Agents Enjoy Training Data Autonomycited by 22
  12. 2024Can We Rely on LLM Agents to Draft Long-Horizon Plans? Let's Take TravelPlanner as an Examplecited by 22
38 more
  1. 2024ControlAgent: Automating Control System Design via Novel Integration of LLM Agents and Domain Expertisecited by 20
  2. 2024ToolScan: A Benchmark for Characterizing Errors in Tool-Use LLMscited by 17
  3. 2025A Survey of Foundation Model-Powered Recommender Systems: From Feature-Based, Generative to Agentic Paradigmscited by 17
  4. 2025MemEngine: A Unified and Modular Library for Developing Advanced Memory of LLM-based Agentscited by 17
  5. 2024Iteration of Thought: Leveraging Inner Dialogue for Autonomous Large Language Model Reasoningcited by 16
  6. 2024MobileAIBench: Benchmarking LLMs and LMMs for On-Device Use Casescited by 13
  7. 2025Generative Multi-Agent Collaboration in Embodied AI: A Systematic Reviewcited by 13
  8. 2025AI Meets Brain: Memory Systems from Cognitive Neuroscience to Autonomous Agentscited by 12
  9. 2025Towards Transparent and Incentive-Compatible Collaboration in Decentralized LLM Multi-Agent Systems: A Blockchain-Driven Approachcited by 11
  10. 2025Orchestrating Agents and Data for Enterprise: A Blueprint Architecture for Compound AIcited by 9
  11. 2026PrivGemo: Privacy-Preserving Dual-Tower Graph Retrieval for Empowering LLM Reasoning with Memory Augmentationcited by 9
  12. 2025Large Language Model Based Multi-Agent System Augmented Complex Event Processing Pipeline for Internet of Multimedia Thingscited by 8
  13. 2025PGPO: Enhancing Agent Reasoning via Pseudocode-style Planning Guided Preference Optimizationcited by 8
  14. 2025FinGAIA: A Chinese Benchmark for AI Agents in Real-World Financial Domaincited by 8
  15. 2025Exploring Expert Failures Improves LLM Agent Tuningcited by 7
  16. 2025Collab-REC: An LLM-based Agentic Framework for Balancing Recommendations in Tourismcited by 7
  17. 2024PRACT: Optimizing Principled Reasoning and Acting of LLM Agentcited by 6
  18. 2025Cerebrum (AIOS SDK): A Platform for Agent Development, Deployment, Distribution, and Discoverycited by 6
  19. 2025ActionStudio: A Lightweight Framework for Data and Training of Large Action Modelscited by 6
  20. 2025LAM SIMULATOR: Advancing Data Generation for Large Action Model Training via Online Exploration and Trajectory Feedbackcited by 6
  21. 2025DatasetAgent: A Novel Multi-Agent System for Auto-Constructing Datasets from Real-World Imagescited by 6
  22. 2025An LLM Agentic Approach for Legal-Critical Software: A Case Study for Tax Prep Softwarecited by 5
  23. 2026Advancing Multimodal Agent Reasoning with Long-Term Neuro-Symbolic Memorycited by 5
  24. 2025Introspection of Thought Helps AI Agentscited by 4
  25. 2026AMA: Adaptive Memory via Multi-Agent Collaborationcited by 4
  26. 2026HyMem: Hybrid Memory Architecture with Dynamic Retrieval Schedulingcited by 4
  27. 2024BMW Agents -- A Framework For Task Automation Through Multi-Agent Collaborationcited by 3
  28. 2025Knowledge-Augmented Large Language Model Agents for Explainable Financial Decision-Makingcited by 3
  29. 2024Towards Agentic Schema Refinementcited by 2
  30. 2025Weaker LLMs' Opinions Also Matter: Mixture of Opinions Enhances LLM's Mathematical Reasoningcited by 2
  31. 2026A Versatile Multimodal Agent for Multimedia Content Generationcited by 2
  32. 2026Diagnosis Before Recovery: Turning Agent Failures into Selective Self-Correctioncited by 2
  33. 2025CSP: A Simulator For Multi-Agent Ranking Competitionscited by 1
  34. 2025Auto-SLURP: A Benchmark Dataset for Evaluating Multi-Agent Frameworks in Smart Personal Assistantcited by 1
  35. 2025Cowpox: Towards the Immunity of VLM-based Multi-Agent Systemscited by 1
  36. 2026SF-AMS: Strategic Forgetting for Structured Memory in LLM Agentcited by 1
  37. 2024Towards Evaluating Large Language Models for Graph Query Generationcited by 0
  38. 2026Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphscited by 0

50 most cited of 53 All 53 (JSON)

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  3. 2024AgentSquare: Automatic LLM Agent Search in Modular Design Space
  4. 2025LLM-based Agentic Reasoning Frameworks: A Survey from Methods to Scenarios
  5. 2024Understanding the planning of LLM agents: A survey
  6. 2024Large Language Model based Multi-Agents: A Survey of Progress and Challenges
  7. 2023The Rise and Potential of Large Language Model Based Agents: A Survey
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