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Decision brief
AutoGen is a Python-based framework for developing and managing agentic AI systems. It includes the AutoGen Studio for no-code GUI setup, integrating with various models.
Good fit when
- You need a framework that supports integration with multiple AI models via OpenAI's chat completion client.
- Your project requires an active development environment where agents can be configured and managed through both code and a no-code GUI solution like AutoGen Studio.
Avoid when
- If you require tools supporting multiple programming languages beyond Python, as AutoGen is strictly a Python-based framework.
- When deploying in environments where connecting to external servers (like those used by MCP) could pose security risks or is prohibited.
- Requirements:
- Min 4 GB RAM; AutoGen requires Python 3.10 or later.; Ensure security when connecting to MCP servers due to the potential for local command execution and sensitive information exposure.
Observed Jul 11, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Slowing (107d since push)
- As of 2w
- Provenance
- Not a fork · Organization account
- As of 2w
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Backing
Company context for Microsoft. Display-only - separate from trust and ranking.
- Company
- Microsoft·GitHub org profile·1mo
- Employees
- 221,000·Wikidata (P1128 employees)·1mo
- Commercial model
- Pure OSS·GitHub org profile (public repos)·1mo
Install
pip install autogenHow it fits your stack(71)
Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
AutoGen is a Python-based framework focusing on the development and management of agentic AI systems, providing tools to integrate agents with various models and utilities like AutoGen Studio for no-code GUI setup.
Capability facts
- Languages
- python
Source: github.language · Aug 1, 2026
Categories
Graph entities
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Aug 1, 2026)
# First run `npm install -g @playwright/mcp@latest` to install the MCP server.Source link
Source: README excerpt (regex_v1, Aug 1, 2026)
AutoGen requires **Python 3.10 or later**.Source link
Tags
README
Installation
AutoGen requires Python 3.10 or later.
---
# Install AgentChat and OpenAI client from Extensions
pip install -U "autogen-agentchat" "autogen-ext[openai]"
The current stable version can be found in the releases. If you are upgrading from AutoGen v0.2, please refer to the Migration Guide for detailed instructions on how to update your code and configurations.
---
# Install AutoGen Studio for no-code GUI
pip install -U "autogenstudio"
First run npm install -g @playwright/mcp@latest to install the MCP server.
import asyncio from autogen_agentchat.agents import AssistantAgent from autogen_agentchat.ui import Console from autogen_ext.models.openai import OpenAIChatCompletionClient from autogen_ext.tools.mcp import McpWorkbench, StdioServerParams
async def main() -> None: model_client = OpenAIChatCompletionClient(model="gpt-4.1") server_params = StdioServerParams( command="npx", args=[ "@playwright/mcp@latest", "--headless", ], ) async with McpWorkbench(server_params) as mcp: agent = AssistantAgent( "web_browsing_assistant", model_client=model_client, workbench=mcp, # For multiple MCP servers, put them in a list. model_client_stream=True, max_tool_iterations=10, ) await Console(agent.run_stream(task="Find out how many contributors for the microsoft/autogen repository"))
asyncio.run(main())
> **Warning**: Only connect to trusted MCP servers as they may execute commands
> in your local environment or expose sensitive information.
For agents
This page has a .md twin and JSON over the API.