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<h1 align="center">
🔮 Awesome AI Agents
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### Description
- Just 300 lines of code
- This was built as a continued iteration on the original BabyAGI code in a lightweight way. Differences to BabyAGI include the following:
- This was built as a d iteration on the original BabyAGI code in a lightweight way. Differences to BabyAGI include the following:
- Task Creation Agent runs once
- Execution Agent loops through tasks
- Task dependencies for pulling relevant results
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## [Continue](https://continue.dev/)
An open-source autopilot for software development
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### Decsription
- An open-source autopilot for software development—bring the power of ChatGPT to VS Code
- Features:
- Answer coding questions
- Edit in natural language
- Generate files from scratch
### Links
- [Website]
- [GitHub](https://github.com/continuedev/continue)
- [Documentation](https://continue.dev/docs/intro)
- [Twitter](https://twitter.com/continuedev)
</details>
## [Databerry](https://www.databerry.ai/)
A super-easy no-code platform for creating AI chatbots trained on your own data
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## [MetaGPT](https://github.com/geekan/MetaGPT)
The Multi-Agent Framework: given one line requirement, it returns PRD, Design, Tasks, Repo
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### Description
- MetaGPT allows to assign different roles to GPTs to form a collaborative software entity for complex tasks
- It takes a one line requirement as input and outputs user stories / competitive analysis / requirements / data structures / APIs / documents, etc.
- Internally, MetaGPT includes product managers / architects / project managers / engineers. It provides the entire process of a software company along with carefully orchestrated SOPs.
Code = SOP(Team) is the core philosophy
### Links
- [GitHub](https://github.com/geekan/MetaGPT)
- [Discord](https://discord.com/invite/4WdszVjv)
- [Twitter](https://twitter.com/DeepWisdom2019
</details>
## [Mini AGI](https://github.com/muellerberndt/mini-agi)
A minimal general-purpose autonomous agent based on GPT-3.5 / GPT-4