The field of multi-agent systems is moving towards more adaptive, trustworthy, and privacy-preserving solutions. Recent developments focus on enhancing the coordination and communication between agents, ensuring secure and verifiable interactions, and improving the overall efficiency and scalability of multi-agent systems. Notable advancements include the integration of novel mechanisms for lineage verification, identity attestation, and dynamic task routing, which enable more robust and reliable agent interactions. Furthermore, the development of federated proof servers, agent directory services, and semantics-aware communication fabrics is transforming the way agents collaborate and share information. These innovations have significant implications for various applications, including industrial coordination, business process management, and large-scale agentic AI systems. Noteworthy papers include: MICA, which presents a perception-grounded and speech-interactive system for industrial coordination. Context Lineage Assurance for Non-Human Identities in Critical Multi-Agent Systems, which introduces a cryptographically grounded mechanism for lineage verification. The AGNTCY Agent Directory Service, which provides a distributed directory for the discovery of AI agent capabilities and metadata. Knowledge Base-Aware Orchestration, which introduces a novel approach for dynamic and privacy-preserving task routing. Federation of Agents, which presents a distributed orchestration framework for dynamic and capability-driven collaboration. Confidentiality-Preserving Verifiable Business Processes through Zero-Knowledge Proofs, which introduces a zero-knowledge proof-based approach for verifiable business process execution.