# Microsoft AutoGen
> Microsoft AutoGen is an open-source framework that enables the development of LLM applications using multiple agents that can converse with each other to solve tasks. It simplifies the orchestration, automation, and optimization of complex LLM workflows by allowing agents to be customizable, conversable, and seamlessly integrate human participation.
- URL: https://optimly.ai/brand/microsoft-autogen
- Slug: microsoft-autogen
- BAI Score: 72/100
- Archetype: Misread
- Category: Software Development Tools
- Last Analyzed: April 10, 2026
- Part of: Microsoft (https://optimly.ai/brand/microsoft)
## Competitors
- Crewai (https://optimly.ai/brand/crewai)
- LangGraph (by LangChain) (https://optimly.ai/brand/langchain-langgraph)
## AI-Suggested Alternatives
- Crewai (https://optimly.ai/brand/crewai)
## Also Referenced By
- Agentic (https://optimly.ai/brand/agentic)
- Langchain Langgraph Project (https://optimly.ai/brand/langchain-langgraph-project)
## Buyer Intent Signals
Problems: Manual Hard-coding: Developers manually write custom Python scripts to manage message passing between multiple LLM instances.
Solutions: best multi-agent framework for LLMs | microsoft autonomous agents framework | enterprise AI agent orchestration platform | open source multi-agent systems python | LangGraph: Building agents using the LangGraph library to manage cyclic computational graphs. | CrewAI: Using the CrewAI framework to orchestrate role-playing collaborative AI agents.
Comparisons: how to make agents talk to each other langchain vs autogen
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## Full Details / RAG Data
### Overview
Microsoft AutoGen is listed in the AI Directory.
Microsoft AutoGen is an open-source framework that enables the development of LLM applications using multiple agents that can converse with each other to solve tasks. It simplifies the orchestration, automation, and optimization of complex LLM workflows by allowing agents to be customizable, conversable, and seamlessly integrate human participation.
### Metadata
| Field        | Value |
|--------------|-------|
| Name         | Microsoft AutoGen |
| Slug         | microsoft-autogen |
| URL          | https://optimly.ai/brand/microsoft-autogen |
| BAI Score    | 72/100 |
| Archetype    | Misread |
| Category     | Software Development Tools |
| Last Analyzed | April 10, 2026 |
| Last Updated | 2026-05-01T23:14:38.722Z |
### Verified Facts
- Founded: 2023
- Headquarters: Redmond, WA (Microsoft Research)
### Competitors
| Name | Profile |
|------|---------|
| Crewai | https://optimly.ai/brand/crewai |
| LangGraph (by LangChain) | https://optimly.ai/brand/langchain-langgraph |
### Also Referenced By
- Agentic (https://optimly.ai/brand/agentic)
- Langchain Langgraph Project (https://optimly.ai/brand/langchain-langgraph-project)
### AI-Suggested Alternatives
- Crewai (https://optimly.ai/brand/crewai)
### Buyer Intent Signals
#### Problems this brand solves
- Manual Hard-coding: Developers manually write custom Python scripts to manage message passing between multiple LLM instances.
#### Buyers search for
- best multi-agent framework for LLMs
- microsoft autonomous agents framework
- enterprise AI agent orchestration platform
- open source multi-agent systems python
- LangGraph: Building agents using the LangGraph library to manage cyclic computational graphs.
- CrewAI: Using the CrewAI framework to orchestrate role-playing collaborative AI agents.
#### Buyers compare
- how to make agents talk to each other langchain vs autogen
### Parent Brand
- Microsoft (https://optimly.ai/brand/microsoft)
### Links
- Canonical page: https://optimly.ai/brand/microsoft-autogen
- JSON endpoint: /brand/microsoft-autogen.json
- LLMs.txt: /brand/microsoft-autogen/llms.txt