“microsoft-agent-framework”
Escalation Ladders: Handing Failed Tasks to Humans with Full Context
Autonomous agents fail. Design escalation ladders that detect failure, retry intelligently, and hand work to humans with the full context needed to finish in one pass.
Publishing Agents: From Notebook to Enterprise Registry
The path from a working agent prototype to a discoverable enterprise service: packaging, hosting options, A2A agent cards, catalog-based discovery, and the governance layer that makes it usable by other teams.
Replay-Based Regression: Deterministic Re-Runs of Agent Workflows
Build deterministic replay systems for agent workflows that capture tool responses, LLM outputs, and state transitions to enable reliable regression testing.
The Agent SDK Landscape Deep Dive: LangGraph, CrewAI, MAF, ADK
A comprehensive comparison of the leading AI agent frameworks in 2026: LangGraph, CrewAI, Microsoft Agent Framework, and Google ADK, with practical guidance on choosing the right one.
Declarative Agents: Defining Your Agent Fleet in YAML
Define agents and multi-agent workflows in version-controlled YAML instead of code. Learn declarative agents and declarative workflows 1.0 in Microsoft Agent Framework.
Building Enterprise-Grade Multi-Agent Systems with the Microsoft Agent Framework
Take multi-agent systems from prototype to production with Microsoft Agent Framework 1.0. Learn graph-based orchestration patterns, checkpointing, human-in-the-loop, and deploying to Foundry Hosted Agents.