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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Xin Yao

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2 papers indexed here

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Preprint Oct 2026

Purpose IR: Compiling User Purpose for Privacy-Preserving Agent Workflow State

LLM-agent workflows routinely transform rich observations into plans, summaries, memories, handoffs, and other reusable state. This creates a privacy boundary that task relevance alone does not capture: an observation may be needed as evidence for a task without its full semantics being authorized to persist. We call t...

Dong-Sheng Chen, Xiang-Yu Zhao, Lei Ma et al. · 0 citations
#artificial intelligence Preprint Aug 2026

OpenAgentFlow: Enabling System-Wide Safety Boundaries for Heterogeneous AI Agent Fleets

OpenAgentFlow is presented, a control-plane/action-plane architecture that establishes the action-commit boundary as a shared enforcement interface and shows that a shared action-commit boundary provides a practical basis for system-wide governance across heterogeneous agent execution paths.

Dong-Sheng Chen, Xiang-Yu Zhao, Xin Yao et al. · 0 citations

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