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Azure AI Agent Service Overview

🤖 Building AI Agents 8 min 70 BASE XP

Enterprise-Grade Agent Platform

The Azure AI Agent Service supersedes the classic OpenAI Assistants API, providing a production-ready platform for building, managing, and deploying AI agents.

2026 Agent Capabilities Updates

FeatureDescriptionImpact
Hosted Agents (April 2026)Persistent-state, VM-isolated agent compute with scale-to-zeroAgents resume with filesystem and session identity intact across restarts. Built-in versioning and VNet support for production workloads.
Toolbox (Public Preview)Unified MCP-based tool management across frameworksConfigure and manage tools once, use across Agent Framework, LangGraph, and any MCP-compatible client.
Memory ServiceManaged long-term memory store (Preview)Agents can persist and retrieve context across multiple sessions seamlessly without custom DBs.
Foundry MCP ServerCloud-hosted Model Context ProtocolConnect to cloud resources directly from IDEs (like VS Code) without local process management.
Voice LiveNative speech-to-speech runtimeAllows agents to converse in real-time with barge-in support.

What an Agent Can Do

  • Access tools — functions, code interpreter, file search, MCP servers
  • Ground responses in your data via Azure AI Search
  • Maintain long-term context with the Memory Service
  • Delegate to other agents via Connected Agents
💡 Key Insight: The Agent Service manages the entire agent lifecycle — thread management, MCP tool execution, and state persistence (via Memory Service) — so you focus on defining agent behavior, not infrastructure.
FOUNDRY VERIFICATION
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What is the purpose of the Foundry MCP Server?
It provides visual analytics
It allows cloud-hosted Model Context Protocol connectivity directly from development environments like VS Code
It hosts custom websites
It is a specialized vector database
Watch: 139x Rust Speedup
Azure AI Agent Service Overview | Building AI Agents — Azure Foundry Academy