<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>AutoGen on AI Knowledge Base</title><link>https://learn-ai.blindshot.kz/docs/microsoft/autogen/</link><description>Recent content in AutoGen on AI Knowledge Base</description><generator>Hugo</generator><language>en-us</language><atom:link href="https://learn-ai.blindshot.kz/docs/microsoft/autogen/index.xml" rel="self" type="application/rss+xml"/><item><title>AutoGen Overview</title><link>https://learn-ai.blindshot.kz/docs/microsoft/autogen/overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/microsoft/autogen/overview/</guid><description>AutoGen is a programming framework for building multi-agent AI systems through conversational agents that collaborate, use tools, and execute code. Now in maintenance mode — see Microsoft Agent Framework.</description></item><item><title>Code Execution</title><link>https://learn-ai.blindshot.kz/docs/microsoft/autogen/code-execution/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/microsoft/autogen/code-execution/</guid><description>Sandboxed code execution in AutoGen: Docker-based and local executors for running agent-generated code safely.</description></item><item><title>ConversableAgent</title><link>https://learn-ai.blindshot.kz/docs/microsoft/autogen/conversable-agent/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/microsoft/autogen/conversable-agent/</guid><description>The ConversableAgent base class: configurable with system messages, LLM models, tool registrations, and code execution capabilities.</description></item><item><title>GroupChat Pattern</title><link>https://learn-ai.blindshot.kz/docs/microsoft/autogen/group-chat/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/microsoft/autogen/group-chat/</guid><description>AutoGen&amp;rsquo;s GroupChat coordinates multiple agents through managed conversation turns with configurable speaker selection strategies (round-robin, LLM-driven, or custom).</description></item><item><title>Migration to Agent Framework</title><link>https://learn-ai.blindshot.kz/docs/microsoft/autogen/migration-to-agent-framework/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/microsoft/autogen/migration-to-agent-framework/</guid><description>Migration guide from AutoGen to Microsoft Agent Framework: mapping AgentChat concepts to the unified framework.</description></item><item><title>Speaker Selection Strategies</title><link>https://learn-ai.blindshot.kz/docs/microsoft/autogen/speaker-selection/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/microsoft/autogen/speaker-selection/</guid><description>Speaker selection determines which agent speaks next in a GroupChat: round-robin, random, manual, or auto-selection based on agent descriptions and conversation context.</description></item></channel></rss>