Identifies concrete attacks from a malicious Provider on SAGA and proposes SAGA-BFT, SAGA-MON, SAGA-AUD, and SAGA-HYB mitigations offering different security-performance trade-offs.
Agent Network Protocol Technical White Paper
7 Pith papers cite this work. Polarity classification is still indexing.
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GRAIL achieves over 79 times lower latency than LLM-parsing baselines and higher Recall@10 than vector search by combining SLM-enhanced prediction, pseudo-document expansion, and MaxSim resonance on the new AgentTaxo-9K dataset of 9,240 agents.
Outlines a vision and key research challenges for scalable networks of autonomous AI agents drawing on multi-agent systems, networks, and security.
LLM agent progress depends on externalizing cognitive functions into memory, skills, protocols, and harness engineering that coordinates them reliably.
The paper identifies twelve protocol-level security risks across MCP, A2A, Agora, and ANP and quantifies wrong-provider tool execution risk in MCP via a measurement-driven case study on multi-server composition.
AONA is a proposed four-layer overlay network architecture with dedicated node types and workflows for global, decentralized collaboration among AI agents.
The paper introduces the Foundation Protocol as a unifying coordination layer for heterogeneous agents, humans, and organizations that adds native support for multi-party collaboration, economic primitives, and first-class policy and audit.
citing papers explorer
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Attacks and Mitigations for Distributed Governance of Agentic AI under Byzantine Adversaries
Identifies concrete attacks from a malicious Provider on SAGA and proposes SAGA-BFT, SAGA-MON, SAGA-AUD, and SAGA-HYB mitigations offering different security-performance trade-offs.
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GRAIL: A Deep-Granularity Hybrid Resonance Framework for Real-Time Agent Discovery via SLM-Enhanced Indexing
GRAIL achieves over 79 times lower latency than LLM-parsing baselines and higher Recall@10 than vector search by combining SLM-enhanced prediction, pseudo-document expansion, and MaxSim resonance on the new AgentTaxo-9K dataset of 9,240 agents.
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The Internet of Agentic AI: Communication, Coordination, and Collective Intelligence at Scale
Outlines a vision and key research challenges for scalable networks of autonomous AI agents drawing on multi-agent systems, networks, and security.
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Security Threat Modeling for Emerging AI-Agent Protocols: A Comparative Analysis of MCP, A2A, Agora, and ANP
The paper identifies twelve protocol-level security risks across MCP, A2A, Agora, and ANP and quantifies wrong-provider tool execution risk in MCP via a measurement-driven case study on multi-server composition.
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AONA: A Comprehensive Architecture and Workflow Design for Global Agentic Collaboration
AONA is a proposed four-layer overlay network architecture with dedicated node types and workflows for global, decentralized collaboration among AI agents.
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Foundation Protocol: A Coordination Layer for Agentic Society
The paper introduces the Foundation Protocol as a unifying coordination layer for heterogeneous agents, humans, and organizations that adds native support for multi-party collaboration, economic primitives, and first-class policy and audit.