# Develop with MetaGPT

## Intruduction

MetaGPT is a multi-agent framework. We made it so that agent applications developed with MetaGPT can run on AIOS by adding just one line of code.

## Quick Start

For installation and usage of open-interpreter, please refer to [MetaGPT](https://docs.deepwisdom.ai/main/en/).

If you want to run an application developed with MetaGPT on AIOS, please add `prepare_framework()` before you use MetaGPT, and select a framework type through `FrameworkType`. When you want to use MetaGPT, you should use `FrameworkType.MetaGPT`.

Then nothing needs to change, use MetaGPT as usual. 

```
+ with aios_starter(**vars(args)):
+     prepare_framework(FrameworkType.MetaGPT)

      repo: ProjectRepo = generate_repo("Create a 2048 game")  # or ProjectRepo("<path>")
      print(repo)
```

Or use Data Interpreter:

```
+ with aios_starter(**vars(args)):
+     prepare_framework(FrameworkType.MetaGPT)

      async def di_main():
          di = DataInterpreter()
          await di.run("Run data analysis on sklearn Iris dataset, include a plot")

      asyncio.run(di_main())  # or await main() in a jupyter notebook setting
```

More examples can be found in <https://github.com/agiresearch/AIOS/tree/main/scripts/aios-metagpt>[.](https://github.com/agiresearch/Cerebrum/blob/main/cerebrum/community/adapter/metagpt_adapter.py)

MetaGPT requires a longer output context to generate longer code, so you may need to use `--max_new_tokens` to set a larger output token length.

```
python scripts/aios-metagpt/example_aios_metagpt.py --llm_name gpt-4o-mini --max_new_tokens 4000
```


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