Microsoft Agent Framework: Agent Session Explained
Learn Microsoft AI explains AgentSession in Microsoft Agent Framework, focusing on how it acts as a conversation state container to preserve context across agent runs and enable reliable multi-turn, stateful agent workflows.
Overview
This video focuses on AgentSession in the Microsoft Agent Framework and why it matters when building stateful AI agents.
What AgentSession is
- AgentSession is described as the conversation state container used across agent runs.
- It is used to maintain conversational continuity and preserve state between interactions.
Why AgentSession matters for agent workflows
- Helps agents retain context across multiple turns.
- Supports more reliable multi-turn AI agent behavior.
- Enables multi-step workflows where state needs to persist across steps.
Topics covered
- What AgentSession is in Microsoft Agent Framework
- How it acts as a conversation state container
- Why it matters for stateful AI agents
- How conversation state is preserved across agent runs
- How AgentSession supports multi-step workflows and orchestration