Managed Deep Agents
A cloud-hosted AI agent framework that encapsulates complex logic—including task planning, tool invocation, and state persistence—within a managed environment. It supports multi-step task orchestration, enabling developers to build AI agents capable of executing real-world transactions without maintaining their own infrastructure.
Timeline (last 90 days)
Managed Deep Agents v0.9 added the Schedules SDK, allowing agents to autonomously create reminders, follow-ups and recurring tasks mid-conversation, while also supporting switching models, skills and tools per run configuration.
Restock is a sample project built on Managed Deep Agents (MDA); it is an AI procurement agent capable of receiving purchasing requests in Slack, searching for real products using Zinc, making payments via Stripe Link, and completing orders.
Managed Deep Agents (MDA) is a class of cloud-hosted AI agent framework where the platform manages the runtime, encapsulating logic such as task planning, tool invocation, and state persistence within a managed environment.
The core capability of MDA lies in multi-step task orchestration, where the agent can dynamically adjust subsequent actions based on intermediate results rather than producing a fixed answer in a single pass.
All Facts (4)
Restock is a sample project built on Managed Deep Agents (MDA); it is an AI procurement agent capable of receiving purchasing requests in Slack, searching for real products using Zinc, making payments via Stripe Link, and completing orders.
50%UnverifiedManaged Deep Agents (MDA) is a class of cloud-hosted AI agent framework where the platform manages the runtime, encapsulating logic such as task planning, tool invocation, and state persistence within a managed environment.
50%UnverifiedThe core capability of MDA lies in multi-step task orchestration, where the agent can dynamically adjust subsequent actions based on intermediate results rather than producing a fixed answer in a single pass.
50%UnverifiedManaged Deep Agents v0.9 added the Schedules SDK, allowing agents to autonomously create reminders, follow-ups and recurring tasks mid-conversation, while also supporting switching models, skills and tools per run configuration.
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