Latest news with #AGNTCY
Associated Press
21-06-2025
- Business
- Associated Press
SmythOS & AGNTCY Partner to Accelerate the Internet of Agents
SmythOS partners with AGNTCY, releasing MIT-licensed runtime, SDK, CLI for open AI agent frameworks, paving the way for a scalable Internet of autonomous agents 'The internet of agents is the defining platform shift of our generation'— Alexander De Ridder HOUSTON, TX, UNITED STATES, June 21, 2025 / / -- SmythOS has partnered with AGNTCY, the global coalition working to create an open, interoperable internet of autonomous agents. On June 17th, 2025, SmythOS has released its core technology, the SmythOS Runtime Environment (SRE), Software Development Kit (SDK), Command‑Line Interface (CLI), and a full set of refreshed documentation, under the permissive MIT license on GitHub. This strategic alliance embodies SmythOS's vision of fostering transparent, secure, and scalable AI agent frameworks aligned with AGNTCY's commitment to collaborative innovation. The move clears the runway for developers everywhere to build, test, and deploy agents, no matter who wrote the code. A visual Agent Builder will follow later this year, adding drag‑and‑drop ease to the agent revolution. 'The internet of agents is the defining platform shift of our generation,' stated Alexander De Ridder, SmythOS CTO and Co-founder. 'You would not be reading this today if the first web was closed, and it's our duty to ensure our children's internet remains open. That time for action is today. SmythOS proudly joins forces with AGNTCY to contribute to this vision. SmythOS is the open AI agent kernel for building, testing, and deploying autonomous agents at scale without sacrificing control and human oversight. We believe the agent-to-agent economy will dwarf the current economy, with billions of agents and trillions of interactions daily, moving toward a future where economic subsistence labor is replaced by soulcraft. Today, we stand at the crossroads. What we do today will define future generations. Welcome to the agent revolution.' Why does this matter? For one, interoperability from day one. The SRE already supports emerging open standards such as the Model Context Protocol (MCP), Agent‑to‑Agent Protocol (A2A), Agent Gateway Protocol (AGP), and Agent Communication Protocol (ACP). Also, community‑driven security. Releasing under MIT invites peer review and rapid hardening, keeping humans firmly in the loop. And finally, enterprise‑grade scale: early collaborators include Cisco, Google, Microsoft, Anthropic, and IEEE researchers. AGNTCY unites developers who tackle the nuts and bolts of agent identity, discovery, connectivity, collaboration, supervision, observability, security, and deployment. SmythOS now strengthens that effort with a proven runtime that is production‑ready today and continually refined in the open. Standards turn ideas into ecosystems, and since SmythOS brings real code, real documentation, and real momentum, the partnership with AGNTCY can make the agent economy as open as the original internet. Now what's next? SmythOS is set to launch the open-source Visual Agent Builder in a few months and promises continued co‑development of open protocols with AGNTCY and industry partners. It's also an opportunity to organize community sprints, hackathons, and education programs. Developers, researchers, and organizations can clone the repo today on GitHub, and explore the new learning hub on About SmythOS: SmythOS provides the open AI agent kernel for creating, testing, and deploying autonomous agents at scale without losing human oversight. SmythOS agents go beyond pipelines: they reason, adapt, plan, and recover. They deserve an environment designed for this complexity. About AGNTCY: AGNTCY is a collaborative platform devoted to open‑source innovation in multi‑agent systems. The organization advances shared standards for agent identity, communication, and governance, laying the groundwork for a safe and thriving Internet of agents. Tayla Calcott SmythOS +1 832-722-9004 email us here Visit us on social media: LinkedIn Instagram Facebook YouTube X Legal Disclaimer: EIN Presswire provides this news content 'as is' without warranty of any kind. We do not accept any responsibility or liability for the accuracy, content, images, videos, licenses, completeness, legality, or reliability of the information contained in this article. If you have any complaints or copyright issues related to this article, kindly contact the author above.
Malaysian Reserve
18-06-2025
- Business
- Malaysian Reserve
OPAQUE Systems Joins AGNTCY to Advance Secure, Confidential AI Collaboration
SAN FRANCISCO, June 17, 2025 /PRNewswire/ — OPAQUE Systems, the Confidential AI company and pioneer in secure agent collaboration, is proud to announce at the 3rd annual Confidential Computing Summit its official membership in AGNTCY, the open source collective building the infrastructure for the Internet of Agents founded by Outshift by Cisco, LangChain and Galileo. This strategic collaboration addresses the critical trust and privacy challenges emerging as AI agents operate at unprecedented scale and speed across organizational boundaries. Multi-agent workflows are fundamentally transforming enterprise AI, enabling intelligent systems to collaborate and deliver unprecedented business value. As organizations accelerate innovation with agentic systems, trust and confidentiality have become essential to unlocking AI's full potential across industries. AGNTCY brings together diverse companies and technologists to create the practical components needed for the Internet of Agents. With the addition of OPAQUE and its Confidential AI Platform, we are uniquely suited to address this critical need by ensuring robust data and model confidentiality and integrity. 'Before multi-agent software can truly become embedded in critical processes, we need verifiable privacy, data sovereignty, integrity, and runtime guarantees-so organizations can safely scale AI ecosystems without duct-taping manual review at every step. That's why we're welcoming OPAQUE as a member in AGNTCY. They help solve the trust infrastructure problem we're all going to hit as we build the Internet of Agents together,' said Vijoy Pandey, GM and Senior Vice President, Outshift by Cisco. 'Multi-agent workflows are transforming enterprise AI, fundamentally changing how intelligent systems collaborate', said Aaron Fulkerson, CEO of OPAQUE. 'Trust and confidentiality are essential to unlocking their full potential and delivering genuine business value across industries. Joining AGNTCY aligns with OPAQUE's mission to ensure that confidential AI enables secure agent collaboration that accelerates innovation while maintaining privacy in an open, interoperable future for agentic systems.' OPAQUE joins a growing community of technologists, innovators, and thought leaders dedicated to solving the trust and security challenges inherent in next-generation AI workflows. Want to dive deeper into the future of secure agent collaboration and multi-agent systems? Listen to Vijoy Pandey, General Manager and Senior Vice President of Outshift by Cisco, on an upcoming episode of OPAQUE's AI Confidential Podcast airing July 1st as he explores how AGNTCY is building the trust infrastructure for the Internet of Agents. About OPAQUE SystemsOPAQUE is the Confidential AI company. Rooted in groundbreaking research from UC Berkeley's RISELab, OPAQUE Systems delivers a Confidential AI platform that transforms how enterprises handle, analyze, and share sensitive data. Its Confidential Agents platform enables enterprises to run AI on sensitive data—without risk, delay, or compliance tradeoffs. Customers include ServiceNow, the European Union, and other global leaders in AI, fintech, and enterprise infrastructure. To learn more, visit or request a demo to see Confidential AI in action. About AGNTCYAGNTCY is the open source collective building the foundational technologies and standards for the Internet of Agents—an open, interoperable internet for agent-to-agent collaboration. Founding contributors Cisco, LangChain, and Galileo, AGNTCY develops standards and frameworks that enable AI agents to discover, compose, deploy, and evaluate collaborative workflows across platforms and organizations. For more information, visit to see how we're building the Internet of Agents. Explore the AGNTCY GitHub repo to try the protocols, tools, and frameworks driving the Internet of Agents. Contact: Inkhouse for OPAQUEopaquesystems@
Business Times
06-05-2025
- Business
- Business Times
The AI agent problem that's holding back innovation
RECENT advances in large language models and agentic architectures have fundamentally transformed artificial intelligence (AI) capabilities. Today's AI systems can plan multi-step tasks, reflect on their outputs, use tools and even coordinate with other AI systems. We are witnessing the emergence of truly agentic AI – systems that operate with increasing autonomy and goal-directed behaviour rather than merely responding to prompts. However, as these impressive capabilities mature, a critical infrastructure gap threatens to undermine their potential at scale. The problem is straightforward but profound: most AI agents today are confined to proprietary technological stacks. They rely on platform-specific memory stores, orchestration logic, toolchains and interaction schemas that work perfectly well in isolated environments, but create serious friction when deployed across organisational boundaries. When agents cannot communicate, share context or delegate tasks across these boundaries, they become technological silos. This growing collection of disconnected, brittle implementations cannot be composed into the broader system of intelligence that enterprises require for meaningful automation. The cost of this non-interoperability is not theoretical or distant; it is immediate and practical. Without interoperability standards, agentic automation inevitably stalls at the boundaries of vendor ecosystems. Consider what happens when a business process spans multiple systems, from customer interaction to order fulfilment, or across supply chain and finance departments. Agents built by different vendors cannot share crucial context, delegate subtasks or coordinate actions effectively. As a result, cross-domain AI-driven automation, which should be the primary value proposition of agentic systems, becomes unworkable in practice. BT in your inbox Start and end each day with the latest news stories and analyses delivered straight to your inbox. Sign Up Sign Up AI agents must interoperate across nine dimensions Solving agent interoperability requires addressing multiple interconnected layers, not just creating superficial application programming interface (API) connections. If agents are to coordinate effectively across organisational, technical and vendor boundaries, we need a common substrate for how they discover each other, delegate tasks, share knowledge and enforce constraints. Tool use represents the most visible dimension, where agents must invoke external services, automation platforms and APIs without relying on brittle hard-coded logic. Anthropic's Model Context Protocol, for instance, tackles certain aspects of tool access. Communication protocols are equally critical, as agents need structured dialogue mechanisms to assign roles, exchange information, and negotiate task handoffs between systems. Cisco and LangChain's AGNTCY standard and Google's brand new A2A framework provide initial approaches to how agents may talk to each other. But the requirements quickly expand beyond these basics. Trust and security become foundational concerns in multi-agent environments, requiring shared models for identity verification and authorisation. Memory systems must provide persistent, cross-context storage that agents can access across organisational boundaries. Knowledge sharing demands mechanisms not just for information access, but for verification and integration of information across different agent systems. Looking toward more advanced interoperability, transaction capabilities become essential for agents to negotiate, purchase and compensate across digital marketplaces. Stripe has developed preliminary agent toolkits for economic exchange. Governance frameworks must move beyond static policies to become executable constraints embedded directly in agent workflows. Discovery protocols are needed so agents can dynamically locate and interact with other relevant agents in a secure way, without relying solely on preconfigured integrations. Finally, distributed agent systems require standardised approaches to error handling, where failures can be systematically surfaced, escalated or resolved. These are some of the promising early efforts addressing pieces of this puzzle. However, they remain point solutions in different stages of maturity, enterprise readiness and adoption levels, indicating that a more comprehensive and coordinated approach is needed for true interoperability. AI agents are path forward for global innovation Interoperability should not be viewed as the enemy of commercial differentiation but rather, as its enabler. Open ecosystems do not diminish commercial opportunity; they expand it dramatically. When cloud platforms adopted container standards and interoperable storage APIs, they did not sacrifice competitive advantage; instead, they created a larger surface area for value-added innovation. The same principle applies to agentic AI systems. Vendors supporting interoperable agent frameworks can still compete vigorously on orchestration strategies, domain specialisation (for example, offering agents pre-trained for specific industries like healthcare or finance), tooling sophistication and developer experience. But they compete within a viable, expanding ecosystem rather than through isolation tactics that ultimately limit total market growth. For enterprise customers, the advantages of interoperability are even more compelling, enabling automation that spans organisational boundaries without requiring wholesale commitment to a single vendor's vision. Asia-Pacific could be a key proving ground for agentic AI With its unique combination of cross-border trade complexity, regulatory diversity and vibrant consumer services sector, Asia-Pacific creates real-world conditions that demand adaptive, autonomous systems. This unique combination suggests that the Asia-Pacific region could serve as a critical proving ground for these interoperable agentic technologies. Agentic AI will find some of its most valuable use cases in environments where integration across languages, infrastructure types and regulatory jurisdictions is not optional but essential for business operations. Achieving true interoperability will require more than individual product road maps or incremental feature development. It necessitates a coalition approach spanning technology vendors, industry associations, standards bodies, regulatory agencies and enterprise technology buyers. Interoperability must be treated as strategic infrastructure, not relegated to an afterthought or post-implementation integration problem. The fundamental choice facing the AI industry is not between control and openness. It is between creating composable, scalable intelligence versus isolated automation silos. Those who solve for the complex interoperability requirements of diverse markets like Asia-Pacific will likely establish the blueprint for agentic ecosystems globally. And the time to make these architectural decisions is now, before proprietary approaches calcify into barriers we cannot undo. The writer is a principal analyst at Forrester
