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.
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Google Cloud is an online service that lets you create everything from simple websites to complex apps for businesses of any size.
Customers who are new to the system will receive $300 in credits for testing, deploying, and running workloads. Customers can use up to 25+ products free of charge.
Use Google's core data analytics and machine learning. All enterprises can use it. It is secure and fully featured. Use big data to build better products and find answers faster. You can grow from prototypes to production and even to planet-scale without worrying about reliability, capacity or performance. Virtual machines with proven performance/price advantages, to a fully-managed app development platform. High performance, scalable, resilient object storage and databases. Google's private fibre network offers the latest software-defined networking solutions. Fully managed data warehousing and data exploration, Hadoop/Spark and messaging.
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OpenAI Agents API
The Agents API enables developers to create and operate cloud agents utilizing the same framework and infrastructure that supports Codex, all under the management of OpenAI. By making a simple API request, users can establish a fully operational agent by defining the specific task, model, tools, and environment, with OpenAI overseeing the agent's infrastructure. Developers have the flexibility to select where their agents are deployed: whether in an OpenAI-managed sandbox, on personal servers, or via authorized sandbox partners. The OpenAI-managed sandboxes offer secure environments for agents to execute code, interact with files, utilize packages, skills, and plugins, and generate outputs. Designed for tasks that require extended operation, the API features automatic context compaction to retain pertinent information across multiple context windows within sessions. Additionally, the tool search function efficiently loads relevant definitions only as needed, while programmatic tool invocation allows agents to execute calls simultaneously, chain related tasks, and filter or merge results seamlessly in code. This comprehensive approach not only enhances efficiency but also empowers developers to create more sophisticated applications.
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StateFabric
StateFabric is a compact infrastructure layer designed for AI agents that require additional context beyond just the chat history. When an agent begins to utilize tools and operates over extended sessions without restarting, relying solely on retained messages is insufficient; it becomes essential to track the following aspects: what events transpired, what changes occurred in the state, which tools were utilized, and what context should be factored into the upcoming model iteration. To address these needs, StateFabric maintains an append-only event log throughout agent operations, enabling the extraction of relevant context from this data. Currently, it offers a range of features, including durable session management and event storage, user/model/tool event timelines, the ability to reconstruct session states from recorded events, and a streamlined model-facing context. Additionally, it includes a user-friendly dashboard for analyzing sessions, inspecting raw payloads, reviewing compaction artifacts, and monitoring usage patterns. Furthermore, StateFabric supports integration with Google ADK through the package @statefabric/adk and facilitates direct usage in Node/REST environments via @statefabric/client, making it adaptable for custom runtimes. This versatility ensures that AI agents can operate more efficiently and effectively in complex environments.
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