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AutoGen Review 2026 — Microsoft Multi-Agent AI Framework

AutoGen by Microsoft is the leading open-source multi-agent AI framework. Build teams of LLM agents that collaborate, write code, and solve complex problems autonomously.

AutoGen Review 2026 — Microsoft Multi-Agent AI Framework

In inglese

AutoGen lets developers create AI agents, define how they communicate, connect them to language models and tools, and run multi-agent workflows. Its packages include Core, AgentChat, Extensions, AutoGen Studio, and AutoGen Bench.

It is used for agent orchestration, tool use, code execution, web browsing, distributed runtimes, and workflow prototyping. AutoGen is now in maintenance mode; new projects are directed to Microsoft Agent Framework. Model-provider usage and related APIs may cost extra.

Features

  • Build autonomous or human-assisted multi-agent applications
  • Create event-driven agents with local or distributed runtimes
  • Use AgentChat for two-agent and group-chat patterns
  • Connect to OpenAI, Azure OpenAI, hosted, and local models
  • Add tools for code execution, MCP, GraphRAG, and web browsing
  • Prototype workflows with the AutoGen Studio no-code GUI
  • Run agent benchmarks with AutoGen Bench
  • MIT-licensed open-source code

Use cases

  • Build multi-agent assistants for complex tasks
  • Orchestrate agents that browse the web and use tools
  • Prototype agent workflows without writing interface code
  • Create coding agents that generate, execute, and debug code
  • Run distributed agent systems across Python and .NET
  • Evaluate agent performance with workflow benchmarks

Pros

    Cons

      Capabilities

      • Runs commands — “The DockerCommandLineCodeExecutor class is a built-in code executor that runs Python code snippets in a subprocess in the command line environment of a docker container.” source
      • Command line — “autogenstudio ui --port 8080 --appdir ./myapp” source
      • Choice of models — “Other model client classes can be used in a similar way.” source
      • API — “The Core API is designed to be minimal and you need to build your own agent logic around model clients and tools.” source
      • Builds agents and workflows — “A framework for building AI agents and applications” source
      • Search over your data — “LocalSearchTool and GlobalSearchTool for using GraphRAG .” source
      • Traces and evaluates — “Tracking LLM usage with a logger” source

      Get it

      Pricing

      Starting price
      Free
      Prices checked
      2026-09-26
      Read
      by web search

      AutoGen

      Free

      • Open-source multi-agent framework for building conversational AI agents
      • MIT license (free to use and self-host)
      • Supports Python and .NET
      • Integrates with various LLM providers (costs only from underlying APIs)
      • Community-driven with documentation and examples
      Official website