Interacting Minds

11 min read
Interacting Minds

Image Credit: Roger Filomeno

1. Introduction

AI agents have evolved from rudimentary models to sophisticated entities capable of autonomous action. Unlike traditional models requiring direct prompting, agents operate independently to achieve predefined objectives.1

Two key advancements drive this evolution:

  1. Multi-modal capabilities: Agents can process text, images, audio, and video, allowing for versatile application in complex scenarios.1
  2. Mixture of Experts (MOE): This architecture divides large models into specialized sub-networks (“experts”), managed by a gating network. This increases capacity and efficiency without proportional computational costs.5,8

The convergence of these technologies enables multi-agent systems where autonomous, multi-modal MOE agents collaborate on complex problems.1

2. Foundations

2.1 Multi-Modal AI Agents

An AI agent acts upon its environment to perform tasks autonomously.1 Multi-modal agents process diverse data types (text, audio, video) to generate refined outputs. For example, an agent might create an image based on both a textual description and an audio file.1

Applications extend to augmented reality (AR), where agents observe user actions to provide proactive assistance,9 and healthcare, where they analyze biological data layers for precise diagnoses.1

2.2 Mixture of Experts (MOE) Models

MOE models address the computational challenges of large models by using specialized sub-networks.5 A gating network selects the appropriate expert for each input, similar to a manager assigning tasks to specialists.6

Advantages:

  • Efficiency: Only relevant experts are activated (conditional computation).7
  • Scalability: Allows for larger model capacity with manageable resources.12
  • Specialization: Experts focus on specific problem domains.6

Table 1: Comparison of Dense and MoE Models

FeatureDense ModelsMoE Models
Parameters (Active)Equal to totalSignificantly smaller than total
Inference CostHighSignificantly lower
SparsityNoneHigh (via gating)

3. Inter-Agent Communication

Effective collaboration requires robust communication protocols:

  • Natural Language: Leverages LLMs for intuitive exchange of goals and feedback.1
  • Structured Data (JSON/XML): Ensures precision for task-specific information.13
  • Agent Communication Languages (ACLs): Formal protocols (e.g., FIPA-ACL) using performatives for semantic richness.15
  • Emergent Communication: Spontaneous protocols developed by agents in reinforcement learning environments.18

Standardization Efforts:

  • Agent2Agent (A2A): Standardizes secure information exchange across platforms.13
  • Model Context Protocol (MCP): Connects AI agents to external data sources.20
  • Agent Protocol: Defines API endpoints for agent interaction.22

4. Collaboration Strategies

Key strategies for achieving complex goals include:

  • Task Decomposition: Breaking high-level objectives into prioritized sub-tasks.1
  • Role Specialization: Assigning agents to roles based on expertise (e.g., demand forecasting vs. fulfillment).27
  • Knowledge Sharing: Exchanging insights via shared ontologies.29
  • Coordination Mechanisms: Ranging from centralized supervisors (Amazon Bedrock) to decentralized peer interaction.28
  • Iterative Refinement: Cooperative agents scrutinizing and improving each other’s outputs (Mixture of Agents).36

5. Benefits of Autonomous Interaction

  • Efficiency: Automates multi-step workflows, reducing completion times.38
  • Scalability: Dynamic addition/removal of agents to handle load.17
  • Accuracy: Cross-verification of data from diverse sources.35
  • Availability: 24/7 continuous operation.40
  • Cost Reduction: Optimizes resource allocation and minimizes manual labor.39

6. Challenges: Efficiency, Privacy, and Security

  • Efficiency: Communication overhead and synchronization can create bottlenecks.7
  • Privacy: Autonomous access to sensitive data raises exposure risks. Privacy-preserving techniques are essential.48
  • Security: Agents are targets for adversarial manipulation. Robust authentication and monitoring are required.52
  • Ethics: Bias in training data and lack of explainability challenge responsible deployment.47

7. Autonomous Negotiation

Agents must reach agreements without human intervention using:

  • Intent Recognition: Inferring goals from actions.63
  • Negotiation Protocols: Rules for proposals and counter-offers (e.g., contract net).15
  • Game Theory: Modeling strategic interactions (Nash Equilibrium).70
  • Multi-Agent Reinforcement Learning (MARL): Learning negotiation policies through experience.81

8. Human Oversight

Human involvement remains critical for:

  • Ethical Alignment: Ensuring actions align with human values.60
  • Safety: Preventing critical errors in high-stakes domains.44
  • Compliance: Adhering to legal standards.44
  • Trust: Providing transparency and control.105

9. Advanced Communication: Function Calls and Code

  • Dynamic Function Calls: Structured interaction with external tools to reduce ambiguity.114
  • Code Exchange: Sharing executable logic to leverage specialized capabilities.118

Note: Code exchange introduces security risks requiring sandboxing and verification.19

10. Cross-Entity Collaboration

Collaboration between agents from different entities (e.g., Personal vs. Corporate) requires:

  • Preference Signaling: Communicating user constraints and priorities.95
  • Strategic Negotiation: Advocating for user interests while seeking agreement.96
  • Privacy Preservation: Using techniques like federated learning to share insights without exposing raw data.48

11. Applications

  • Scheduling: Intelligent coordination of calendars.41
  • Customer Service: collaborative resolution of complex inquiries.124
  • Supply Chain: Optimization of forecasting and logistics.127
  • Industrial Automation: Predictive maintenance and robotic coordination.130
  • Contract Negotiation: Autonomous securing of optimal terms.93

12. Conclusion

The autonomous interaction of multi-modal MOE AI agents represents a significant leap in AI capability. By combining versatile perception, specialized processing, and collaborative strategies, these systems can tackle problems previously insurmountable. Realizing this potential requires addressing challenges in security, privacy, and ethics, and establishing robust standards for interoperability.

Works cited

  1. AI Interactivity (Part I): AI Agents and Multimodal Agents - Tensility Venture Partners, https://www.tensilityvc.com/insights/ai-interactivity-part-i-ai-agents-and-multimodal-agents

  2. Top 10 Research Papers on AI Agents (2025) - Analytics Vidhya, https://www.analyticsvidhya.com/blog/2024/12/ai-agents-research-papers/

  3. Multimodality, Tool Use, and Autonomous Agents: Large Language Models Explained, Part 3 | Center for Security and Emerging Technology, https://cset.georgetown.edu/article/multimodality-tool-use-and-autonomous-agents/

  4. [2306.13549] A Survey on Multimodal Large Language Models - arXiv, https://arxiv.org/abs/2306.13549

  5. www.datacamp.com, https://www.datacamp.com/blog/mixture-of-experts-moe#:~:text=Mixture%20of%20Experts%20(MoE)%20is,best%20expert%20for%20each%20input.

  6. What Is Mixture of Experts (MoE)? How It Works, Use Cases & More | DataCamp, https://www.datacamp.com/blog/mixture-of-experts-moe

  7. Mixture of Experts: Advancing AI Agent Collaboration and Decisions - Akira AI, https://www.akira.ai/blog/mixture-of-experts-for-ai-agents

  8. What is mixture of experts? | IBM, https://www.ibm.com/think/topics/mixture-of-experts

  9. YETI (YET to Intervene) Proactive Interventions by Multimodal AI Agents in Augmented Reality Tasks - Google Research, https://research.google/pubs/yeti-yet-to-intervene-proactive-interventions-by-multimodal-ai-agents-in-augmented-reality-tasks/

  10. survey on multimodal large language models | National Science Review - Oxford Academic, https://academic.oup.com/nsr/article/11/12/nwae403/7896414

  11. Mixture of Experts LLMs: Key Concepts Explained - neptune.ai, https://neptune.ai/blog/mixture-of-experts-llms

  12. [R] New Paper on Mixture of Experts (MoE) : r/MachineLearning - Reddit, https://www.reddit.com/r/MachineLearning/comments/1erv2sn/r_new_paper_on_mixture_of_experts_moe/

  13. Announcing the Agent2Agent Protocol (A2A) - Google for Developers Blog, https://developers.googleblog.com/en/a2a-a-new-era-of-agent-interoperability/

  14. How do AI agents communicate with other agents? - Milvus, https://milvus.io/ai-quick-reference/how-do-ai-agents-communicate-with-other-agents

  15. Agent Communication Protocols: An Overview - SmythOS, https://smythos.com/ai-agents/ai-agent-development/agent-communication-protocols/

  16. Comparing Agent Communication Languages and Protocols: Choosing the Right Framework for Multi-Agent Systems - SmythOS, https://smythos.com/ai-agents/ai-agent-development/agent-communication-languages-and-protocols-comparison/

  17. What is AI Agent Communication? - IBM, https://www.ibm.com/think/topics/ai-agent-communication

  18. Interpretation of Emergent Communication in Heterogeneous Collaborative Embodied Agents - CVF Open Access, https://openaccess.thecvf.com/content/ICCV2021/papers/Patel_Interpretation_of_Emergent_Communication_in_Heterogeneous_Collaborative_Embodied_Agents_ICCV_2021_paper.pdf

  19. AI Agent Communication: Breakthrough or Security Nightmare? - Deepak Gupta, https://guptadeepak.com/when-ai-agents-start-whispering-the-double-edged-sword-of-autonomous-agent-communication/

  20. A2A and MCP: Start of the AI Agent Protocol Wars? - Koyeb, https://www.koyeb.com/blog/a2a-and-mcp-start-of-the-ai-agent-protocol-wars

  21. Introducing the Model Context Protocol - Anthropic, https://www.anthropic.com/news/model-context-protocol

  22. The Rise of AI Agents and the Need for Standardized Protocols - Pynomial, https://pynomial.com/2025/02/the-rise-of-ai-agents-and-the-need-for-standardized-protocols/

  23. The AI Agent Infrastructure Stack — Three Defining Layers: Tools, Data, and Orchestration, https://www.madrona.com/ai-agent-infrastructure-three-layers-tools-data-orchestration/

  24. Agent Protocol, https://agentprotocol.ai/

  25. Common interface for interacting with AI agents. The protocol is tech stack agnostic - you can use it with any framework for building agents. - GitHub, https://github.com/AI-Engineer-Foundation/agent-protocol

  26. Top 7 Frameworks for Building AI Agents in 2025 - Analytics Vidhya, https://www.analyticsvidhya.com/blog/2024/07/ai-agent-frameworks/

  27. What Are AI Agentic Workflows & How to Implement Them - Multimodal.dev, https://www.multimodal.dev/post/ai-agentic-workflows

  28. Introducing multi-agent collaboration capability for Amazon Bedrock (preview) - AWS, https://aws.amazon.com/blogs/aws/introducing-multi-agent-collaboration-capability-for-amazon-bedrock/

  29. Multi-Agent Collaboration Mechanisms: A Survey of LLMs - arXiv, https://arxiv.org/html/2501.06322v1

  30. Knowledge Sharing AI Agent | ClickUp™, https://clickup.com/p/ai-agents/knowledge-sharing

  31. Unleashing the Future of Knowledge Management with Agentic AI - Akira AI, https://www.akira.ai/blog/ai-agent-for-knowledge-base

  32. Leveraging Multi-AI Agents for Cross-Domain Knowledge Discovery - arXiv, https://arxiv.org/html/2404.08511v1

  33. How do multi-agent systems handle heterogeneous agents? - Milvus, https://milvus.io/ai-quick-reference/how-do-multiagent-systems-handle-heterogeneous-agents

  34. Agent Communication and Ontologies - SmythOS, https://smythos.com/ai-agents/agent-architectures/agent-communication-and-ontologies/

  35. Multimodal AI Agents: Reimaging Human-Computer Interaction - Akira AI, https://www.akira.ai/blog/ai-agents-with-multimodal-models

  36. Exploring MoE and MoA for Smarter AI Solutions - PuppyAgent, https://www.puppyagent.com/blog/Exploring-MoE-and-MoA-for-Smarter-AI-Solutions

  37. Mixture of Agents: An Emerging Approach in AI Methodologies - Dria, https://dria.co/blog/mixture-of-agents:-an-emerging-approach-in-ai-methodologies

  38. What Are Intelligent AI Agents (And Can They Really Work Alone)? | Moveworks, https://www.moveworks.com/us/en/resources/blog/what-is-intelligent-ai-agent-how-they-work-autonomously

  39. Autonomous AI Agents: Exploring Their Role - Neontri, https://neontri.com/blog/autonomous-ai-agents/

  40. Autonomous Agent Frameworks - SmythOS, https://smythos.com/ai-agents/agent-architectures/autonomous-agent-frameworks/

  41. Meeting Scheduler AI Agent | ClickUp™, https://clickup.com/p/ai-agents/meeting-scheduler

  42. Multimodal AI Agent | ClickUp™, https://clickup.com/p/ai-agents/multimodal

  43. Multi-agent Systems and Communication: Enabling Effective Interaction Between Agents, https://smythos.com/ai-agents/multi-agent-systems/multi-agent-systems-and-communication/

  44. Preparing for the AI Agent Revolution: Navigating the Legal and Compliance Challenges of Autonomous Decision-Makers - StoneTurn, https://stoneturn.com/insight/preparing-for-the-ai-agent-revolution/

  45. Privacy Concerns AI Agent | ClickUp™, https://clickup.com/p/ai-agents/privacy-concerns

  46. Minding Mindful Machines: AI Agents and Data Protection Considerations, https://fpf.org/blog/minding-mindful-machines-ai-agents-and-data-protection-considerations/

  47. Five privacy concerns around agentic AI | SC Media, https://www.scworld.com/perspective/five-privacy-concerns-around-agentic-ai

  48. Unlocking the Potential of Agentic AI with Privacy-Enhancing Technologies - Duality Tech, https://dualitytech.com/blog/unlocking-the-potential-of-agentic-ai-with-privacy-enhancing-technologies/

  49. Empowering Agentic AI Within Financial Systems Requires Zero-Knowledge Proofs and Privacy-Preserving Technologies | Chainlink Blog, https://blog.chain.link/agentic-ai-in-finance/

  50. Secret Network and Project Zero Partner, https://scrt.network/blog/secret-network-and-project-zero-partner

  51. AI Agents Need A Privacy Layer - Oasis Network, https://oasisprotocol.org/blog/ai-agents-privacy-blockchain

  52. The Rise of AI Agents and the Security Challenges Ahead | Auth0, https://auth0.com/blog/the-rise-of-ai-agents-and-the-security-challenges-ahead/

  53. The Identities Behind AI Agents: A Deep Dive Into AI & NHI - The Hacker News, https://thehackernews.com/2025/04/the-identities-behind-ai-agents-deep.html

  54. Mitigating the Top 10 Vulnerabilities in AI Agents - XenonStack, https://www.xenonstack.com/blog/vulnerabilities-in-ai-agents

  55. Challenges in Governing AI Agents - Lawfare, https://www.lawfaremedia.org/article/challenges-in-governing-ai-agents

  56. Awesome-LLM-based-AI-Agents-Knowledge/8-4-communication.md at main - GitHub, https://github.com/mind-network/Awesome-LLM-based-AI-Agents-Knowledge/blob/main/8-4-communication.md

  57. 5 Security Considerations for Managing AI Agents and Their Identities - Aembit, https://aembit.io/blog/5-security-considerations-for-managing-ai-agents-and-their-identities/

  58. Understanding AI Agent Security - Promptfoo, https://www.promptfoo.dev/blog/agent-security/

  59. The Future of Autonomous Agents: Trends, Challenges, and Opportunities Ahead, https://smythos.com/ai-agents/agent-architectures/future-of-autonomous-agents/

  60. AI Agent Best Practices and Ethical Considerations | Writesonic, https://writesonic.com/blog/ai-agents-best-practices

  61. The Ethical Challenges of AI Agents | Tepperspectives, https://tepperspectives.cmu.edu/all-articles/the-ethical-challenges-of-ai-agents/

  62. Ethical considerations in deploying autonomous AI agents - Tech Edition, https://www.techedt.com/ethical-considerations-in-deploying-autonomous-ai-agents

  63. Intent recognition in multi-agent systems: Cow herding - ResearchGate, https://www.researchgate.net/publication/274205903_Intent_recognition_in_multi-agent_systems_Cow_herding

  64. Intent Recognition in Multi-Agent Systems: Collective Box Pushing and Cow Herding - CORE, https://core.ac.uk/download/pdf/213404087.pdf

  65. Plan and Intent Recognition in a Multi-agent System for Collective Box Pushing, https://www.researchgate.net/publication/274469749_Plan_and_Intent_Recognition_in_a_Multi-agent_System_for_Collective_Box_Pushing

  66. Prediction of Intent in Robotics and Multi-agent Systems | SciSpace, https://scispace.com/pdf/prediction-of-intent-in-robotics-and-multi-agent-systems-2uazbh7zl0.pdf

  67. Negotiation Protocols for AI Agents - Matoffo, https://matoffo.com/negotiation-protocols-for-ai-agents/

  68. accessed January 1, 1970, https://www.researchgate.net/publication/343780350_Autonomous_Negotiation_in_Multi-Agent_Systems_Principles_and_Challenges

  69. Agent Communication and Negotiation: Enhancing Decision-Making and Collaboration in Multi-Agent Systems - SmythOS, https://smythos.com/ai-agents/agent-architectures/agent-communication-and-negotiation/

  70. Multi-Agent Systems and Negotiation: Strategies for Effective Agent Collaboration, https://smythos.com/ai-agents/multi-agent-systems/multi-agent-systems-and-negotiation/

  71. Conflict Resolution AI Agent | ClickUp™, https://clickup.com/p/ai-agents/conflict-resolution

  72. Normative conflict resolution through human–autonomous agent interaction - University of York, https://pure.york.ac.uk/portal/files/116793996/1-s2.0-S2666659625000101-main.pdf

  73. Dealing With Ethical Conflicts In Autonomous Agents And Multi-Agent Systems, https://www.researchgate.net/publication/279258407_Dealing_With_Ethical_Conflicts_In_Autonomous_Agents_And_Multi-Agent_Systems

  74. Resolving Conflict in Decision-Making for Autonomous Driving - Robotics, https://www.roboticsproceedings.org/rss17/p049.pdf

  75. How can multi-agent systems communicate? Is game theory the answer? - Capgemini USA, https://www.capgemini.com/us-en/insights/expert-perspectives/how-can-multi-agent-systems-communicate-is-game-theory-the-answer/

  76. Agent-Based Modeling and Game Theory: Simulating Strategic Interactions in Complex Systems - SmythOS, https://smythos.com/ai-industry-solutions/law/agent-based-modeling-and-game-theory/

  77. Game-theoretic LLM: Agent Workflow for Negotiation Games - arXiv, https://arxiv.org/html/2411.05990v1

  78. Scientific approaches and techniques for negotiation : a game theoretic and artificial intelligence perspective - CWI, https://ir.cwi.nl/pub/4448

  79. Game Theory (Stanford Encyclopedia of Philosophy), https://plato.stanford.edu/entries/game-theory/#AI

  80. Game Theory in AI: The Nash Equilibrium EXPLAINED - YouTube, https://www.youtube.com/watch?v=fbHl9AbcSic

  81. MARLIN: Multi-Agent Reinforcement Learning Guided by Language-Based Inter-Robot Negotiation - arXiv, https://arxiv.org/html/2410.14383v3

  82. [2410.14383] MARLIN: Multi-Agent Reinforcement Learning Guided by Language-Based Inter-Robot Negotiation - arXiv, https://arxiv.org/abs/2410.14383

  83. Applying Multi-Agent Reinforcement Learning to Candidate/Employer Job Matching and Salary Negotiations | Computer Science and Economics, https://csec.yale.edu/senior-essays/fall-2022/applying-multi-agent-reinforcement-learning-candidateemployer-job-matching

  84. Deep Reinforcement Learning Agent for Negotiation in Multi-Agent Cooperative Distributed Predictive Control - MDPI, https://www.mdpi.com/2076-3417/13/4/2432

  85. MULTI-AGENT REINFORCEMENT LEARNING FOR COALITIONAL BARGAINING GAMES, https://openreview.net/forum?id=OaZktJBVpUy

  86. A Deep Reinforcement Learning Approach to Concurrent Bilateral Negotiation - IJCAI, https://www.ijcai.org/proceedings/2020/0042.pdf

  87. Towards Learning Multi-Agent Negotiations via Self-Play - CVF Open Access, https://openaccess.thecvf.com/content_ICCVW_2019/papers/ADW/Tang_Towards_Learning_Multi-Agent_Negotiations_via_Self-Play_ICCVW_2019_paper.pdf

  88. Towards Learning Multi-Agent Negotiations via Self-Play, https://machinelearning.apple.com/research/towards-learning-multi-agent-negotiations-via-self-play

  89. Single-Agent vs. Multi-Agent Techniques for Concurrent Reinforcement Learning of Negotiation Dialogue Policies - ACL Anthology, https://aclanthology.org/P14-1047/

  90. accessed January 1, 1970, https://arxiv.org/abs/2006.03753

  91. Unlock Savings with Autonomous Negotiation Agents (ANA) - Zycus, https://www.zycus.com/solution/autonomous-negotiation-agents

  92. Negotiation Strategy AI Agent | ClickUp™, https://clickup.com/p/ai-agents/negotiation-strategy

  93. AI Negotiation Agent | statworx®, https://www.statworx.com/en/generative-ai-solutions/ai-negotiation-agent/

  94. AI-Powered Deals: How Autonomous Negotiation is Redefining Supply Chain Strategy, https://supplychain360.io/autonomous-negotiation-revolutionizing-supply-chain-efficiency-2025-trends/

  95. Multi-AI Agents and How Business Can Prepare, https://www.mri.co.jp/en/knowledge/article/202412_2.html

  96. The Role of Procurement: AI Agents for Contract Negotiation in Finance - Akira AI, https://www.akira.ai/blog/ai-agents-for-contract-negotiation

  97. AI Lease Negotiation 2025 Ultimate Guide | Real Estate Deals - Rapid Innovation, https://www.rapidinnovation.io/post/ai-agent-lease-negotiation-assistant

  98. AI Agents Are Transforming Healthcare Payer Interactions With Smart Negotiation, https://www.thoughtful.ai/blog/ai-agents-are-transforming-healthcare-payer-interactions-with-smart-negotiation

  99. Understanding Agentic AI in Procurement: How Autonomous AI Has Been Transforming Supplier Deals - Pactum, https://pactum.com/understanding-agentic-ai-in-procurement-how-autonomous-ai-has-been-transforming-supplier-deals/

  100. When Will Your AI Negotiate With My AI? - Nibble, https://blog.nibbletechnology.com/will-ai-negotiate-with-ai

  101. Contract Negotiation AI Agents for the Finance Industry - Glide, https://www.glideapps.com/agents/finance/contract-negotiation-ai-agents

  102. How To Use AI Negotiation To Get More Of What You Want | Lindy, https://www.lindy.ai/blog/ai-negotiation

  103. AI in Contract Negotiations (procurement) : r/legaltech - Reddit, https://www.reddit.com/r/legaltech/comments/1i3eqtg/ai_in_contract_negotiations_procurement/

  104. The leader in agentic AI for procurement for over half a decade, https://pactum.com/

  105. The crucial role of humans in AI oversight - Cornerstone OnDemand, https://www.cornerstoneondemand.com/resources/article/the-crucial-role-of-humans-in-ai-oversight/

  106. How humans & AI agents can work together ethically & effectively - Macro 4, https://www.macro4.com/blog/the-rise-of-ai-agents-how-humans-and-machines-can-work-together-ethically-and-effectively/

  107. New Ethics Risks Courtesy of AI Agents? Researchers Are on the Case - IBM, https://www.ibm.com/think/insights/ai-agent-ethics

  108. What Ethical Issues Does Agentforce AI Bring to the Table for CIOs? - Inclusion Cloud, https://inclusioncloud.com/insights/blog/ethical-issues-agentforce-cios/

  109. AI agents evolve rapidly, challenging human oversight - IBM, https://www.ibm.com/think/insights/ai-agents-evolve-rapidly

  110. Unlocking value with AI agents: A responsible approach - PwC, https://www.pwc.com/us/en/tech-effect/ai-analytics/responsible-ai-agents.html

  111. Human approval for AI agent actions - Safe Docs, https://docs.safe.global/home/ai-agent-quickstarts/human-approval

  112. From Fine Print to Machine Code: How AI Agents are Rewriting the Rules of Engagement: Part 3 of 3, https://law.stanford.edu/2025/03/26/from-fine-print-to-machine-code-how-ai-agents-are-rewriting-the-rules-of-engagement-part-3-of-3/

  113. 5 Ways To Build a Trustworthy AI Agent - Salesforce, https://www.salesforce.com/blog/trustworthy-ai-agent/

  114. How to use Azure AI Agent Service with function calling - Learn Microsoft, https://learn.microsoft.com/en-us/azure/ai-services/agents/how-to/tools/function-calling

  115. Function-Calling vs Agents - Community.aws, https://community.aws/content/2sryksE4Ga2hAsUksJZfnT8pJnr/function-calling-vs-agents

  116. ReAct agents vs function calling agents - LeewayHertz, https://www.leewayhertz.com/react-agents-vs-function-calling-agents/

  117. Agent Communication and Message Passing: Streamlining Interaction and Data Exchange in Multi-Agent Systems - SmythOS, https://smythos.com/ai-agents/agent-architectures/agent-communication-and-message-passing/

  118. AI-Exchange Protocol (AIXP): A Communication Standard for Artificial Intelligence Agents - GitHub, https://github.com/davila7/AIXP

  119. Communicating with other agents – Fetch.ai Documentation, https://fetch.ai/docs/guides/agents/intermediate/communicating-with-other-agents

  120. Designing AI Agents That Work for You, Part 1: Communication Patterns - Innovation at Consumer Reports, https://innovation.consumerreports.org/designing-ai-agents-that-work-for-you-part-1/

  121. How to Automate Meeting Scheduling with AI - Datagrid, https://www.datagrid.com/blog/automate-email-scheduling-ai

  122. Calendly AI Agents - Relevance AI, https://relevanceai.com/agent-templates-software/calendly

  123. Emergency Meeting Coordination AI Agent | ClickUp™, https://clickup.com/p/ai-agents/emergency-meeting-coordination

  124. www.salesforce.com, https://www.salesforce.com/service/ai/customer-service-agents/#:~:text=AI%20customer%20service%20agents%20are,a%20personalized%20and%20conversational%20way.

  125. AI Customer Service Agents - Salesforce, https://www.salesforce.com/service/ai/customer-service-agents/

  126. AI Agent-Led Customer Service: Revolutionizing Support with Freddy AI - Freshworks, https://www.freshworks.com/freshdesk/ai-agents/customer-service/

  127. sema4.ai, https://sema4.ai/blog/ai-agents-supply-chain/#:~:text=AI%20agents%20monitor%20supplier%20performance,costs%20while%20ensuring%20adequate%20supply.

  128. AI Agents for Manufacturing Success | Salesforce US, https://www.salesforce.com/manufacturing/artificial-intelligence/ai-agents-for-manufacturing/

  129. Revolutionizing Supply Chain Management: How AI Agents are Reshaping Industry Logistics - Sema4.ai, https://sema4.ai/blog/ai-agents-supply-chain/

  130. Industrial AI in action: How AI agents and digital threads will transform the manufacturing industries - Microsoft, https://www.microsoft.com/en-us/industry/blog/manufacturing-and-mobility/manufacturing/2025/03/25/industrial-ai-in-action-how-ai-agents-and-digital-threads-will-transform-the-manufacturing-industries/

  131. From Data to Decisions: AI Agents for Industrial Process Optimization - Akira AI, https://www.akira.ai/blog/ai-agents-for-industrial-process-optimization

  132. Why should manufacturers embrace AI agents now? - The World Economic Forum, https://www.weforum.org/stories/2025/01/why-manufacturers-should-embrace-next-frontier-ai-agents/

  133. AI Agents in Manufacturing 2025 Ultimate Guide - Rapid Innovation, https://www.rapidinnovation.io/post/ai-agent-manufacturing-applications-use-cases-benefits

  134. AI Agents for Manufacturing Will Give You Superpowers | Plataine, https://www.plataine.com/blog/ai-agents-for-manufacturing-will-give-you-superpowers/

  135. What are AI Agents in Manufacturing? - Augmentir, https://www.augmentir.com/glossary/ai-agents-in-manufacturing

  136. AI agent for manufacturing: Applications and use cases, components, capabilities, implementation and benefits - LeewayHertz, https://www.leewayhertz.com/ai-agent-for-manufacturing/

  137. Reinventing Manufacturing with Agentic AI - Akira AI, https://www.akira.ai/blog/ai-agents-for-manufacturing

  138. AI Agents In Production – A High Level Overview - Hiflylabs, https://hiflylabs.com/blog/2024/8/1/ai-agents-multi-agent-overview

  139. How AI Agents Are Driving ROI: 3 Real-World Case Studies (2025) - Creole Studios, https://www.creolestudios.com/real-world-ai-agent-case-studies/

  140. The Future of AI: The Power of Agent-to-Agent - Workday Blog, https://blog.workday.com/en-us/agent-to-agent-overview.html

  141. Future of AI Agents: Trends & Predictions for Businesses (2025) - REVE Chat, https://www.revechat.com/blog/future-of-ai-agents/

  142. AI Agents: The Defining Workforce Trend of 2025 - Data Society, https://datasociety.com/ai-agents-the-defining-workforce-trend-of-2025/

  143. Generative AI meets the virtual world: A model for human-AI collaboration - Deloitte, https://www2.deloitte.com/us/en/insights/industry/technology/ai-and-vr-model-for-human-ai-collaboration.html

  144. Top 10 AI Agent Trends and Predictions for 2025 - Analytics Vidhya, https://www.analyticsvidhya.com/blog/2024/12/ai-agent-trends/

  145. Why agents are the next frontier of generative AI - McKinsey, https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/why-agents-are-the-next-frontier-of-generative-ai

  146. 16 Real-World AI Agents Examples in 2025 - Aisera, https://aisera.com/blog/ai-agents-examples/

Suggest an edit

Last modified: 23 Jan 2026