BAND creates robust interaction frameworks designed for enterprise-level applications of distributed AI agents. The platform facilitates immediate, collaborative interactions among both agents and humans, incorporating a runtime control plane that upholds policies, defines authority limits, and ensures transparency across diverse systems.
Additionally, BAND empowers developers, engineering teams, and leaders of enterprise platforms who are managing multi-agent ecosystems spanning internal infrastructures, SaaS solutions, and environments shared with partners. This support enhances operational efficiency and fosters innovation within complex organizational structures.
Learn more
Gemini Enterprise Agent Platform is Google Cloud’s next-generation system for designing and managing advanced AI agents across the enterprise. Built as the successor to Vertex AI, it unifies model selection, development, and deployment into a single scalable environment. The platform supports a vast ecosystem of over 200 AI models, including Google’s latest Gemini innovations and popular third-party models. It offers flexible development tools like Agent Studio for visual workflows and the Agent Development Kit for deeper customization. Businesses can deploy agents that operate continuously, maintain long-term memory, and handle multi-step processes with high efficiency. Security and governance are central, with features such as agent identity verification, centralized registries, and controlled access through gateways. The platform also enables seamless integration with enterprise systems, allowing agents to interact with data, applications, and workflows securely. Advanced monitoring tools provide real-time insights into agent behavior and performance. Optimization features help refine agent logic and improve accuracy over time. By combining automation, intelligence, and governance, the platform helps organizations transition to autonomous, AI-driven operations. It ultimately supports faster innovation while maintaining enterprise-grade reliability and control.
Learn more
JetStream Security
JetStream Security serves as a governance platform focused on security, enabling enterprises to gain comprehensive visibility, control, and responsibility over their AI systems by transforming them from unclear, disjointed applications into managed and traceable infrastructures. Functioning as a unified control center, it integrates identity management, operational governance, monitoring, and financial management into one cohesive system, empowering organizations to “monitor every AI action, associate actions with accountable individuals, and ensure workflows stay within authorized limits” while applying policies during runtime. Furthermore, it incorporates agentic identity, linking human, agentic, and non-human identities to specific actions and access rights, thereby ensuring that each invocation, tool usage, or workflow can be tracked and governed according to least-privilege access standards. By maintaining ongoing runtime governance, JetStream continuously evaluates actual AI behavior against pre-approved frameworks, utilizing immutable logging and real-time monitoring to identify deviations, thereby reinforcing security and compliance. This robust approach not only enhances accountability but also supports organizations in navigating the complexities of AI governance effectively.
Learn more
Zooid
Zooid is a collaborative chat application that operates on the Matrix protocol and is available as open-source software, providing features like channels, threads, direct messaging, and spaces for team communication. The app allows for self-hosting, ensuring that all conversation records and user data are maintained within the infrastructure managed by the operator.
One notable aspect of Zooid is its capacity to integrate AI agents directly into the same chat rooms as human participants, enhancing collaboration. Agents that are compatible with the Agent Client Protocol (ACP), including Claude Code, Codex, and opencode, can seamlessly join conversations, where their interactions are displayed as structured interface components instead of simple text; for instance, permission requests are visualized as approval cards, tool interactions are shown as structured data, task outlines appear as checklists, and sub-agent hierarchies are represented as expandable trees. Each AI agent operates within its own secure sandbox environment.
Zooid is distributed under the MIT license, allowing for complete end-to-end self-hosting capabilities, providing users with the flexibility and control they need over their communication tools. This combination of features makes Zooid an appealing choice for teams looking to leverage both human and AI collaboration effectively.
Learn more
