# 🔮 AI Agents

*Welcome to our list of AI autonomous agents. Your favorite one is missing? Add them via pull request. :heart:*

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## [AgentGPT](https://agentgpt.reworkd.ai/)
Here is a short summary
<details>

- [Website](https://agentgpt.reworkd.ai/)
- [GitHub](https://github.com/reworkd/AgentGPT)

Stack:
- Frontend: NextJS + Typescript
- Backend: FastAPI + Python
	- DB: MySQL through docker with the option of running SQLite locally
-  [GitHub](https://github.com/reworkd/AgentGPT)
</details>



## [AI Legion](https://gpt3demo.com/apps/ai-legion)
Similar in spirit to AutoGPT and Baby AGI, but written in the superior language that is TypeScript (Author's Description)
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- Author: eumemic
- [Website](https://gpt3demo.com/apps/ai-legion)
- [GitHub](https://github.com/eumemic/ai-legion)
- [Twitter](https://twitter.com/dysmemic)
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## [AIrplane](https://www.airplane.dev/) 
Developer infrastructure for internal tools

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## [Aomni](Aomni.com)
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## [AutoGPT](https://autogpt.net/) 

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- [GitHub](https://github.com/Significant-Gravitas/Auto-GPT)
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## [BabyAGI](https://github.com/yoheinakajima/babyagi)
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- Default model is OpenAI GPT3-turbo
- Paper: [Task-driven Autonomous Agent Utilizing GPT-4, Pinecone, and LangChain for Diverse Applications](https://yoheinakajima.com/task-driven-autonomous-agent-utilizing-gpt-4-pinecone-and-langchain-for-diverse-applications/)
- The main idea behind this system is that it creates tasks based on the result of previous tasks and a predefined objective. 
- The script then uses OpenAI's NLP capabilities to create new tasks based on the objective

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## [BabyCatAGI](https://replit.com/@YoheiNakajima/BabyCatAGI)
BabyCatAGI is a mod of BabyBeeAGI, which is a mod of OG BabyAGI. BabyCatAGI is at 300 lines of code.
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## [BitBuilder](BitBuilder)

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## [Bloop](https://bloop.ai/)

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## [Butternut AI](Butternut.ai)

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## [Camel](https://github.com/camel-ai/camel)
CAMEL: Communicative Agents for “Mind” Exploration of Large Scale Language Model Society

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## [Cognosys](https://cognosys.ai) - Friendly UI for building AI agents
Description: web based version of AutoGPT/babyAGI

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- Author: Sully Omarr
- Twitter: https://twitter.com/SullyOmarr

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## [Databerry](https://www.databerry.ai/)


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## [Factory](https://www.factory.ai/)

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## [Fixie](https://www.fixie.ai/)

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## [Generative Agents](https://arxiv.org/abs/2304.03442)

- "Paper presenting an architecture that extends a language model to store and synthesize the agent's experiences, enabling dynamic behavior planning in an interactive sandbox environment with generative agents"

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## [GitWit](https://www.gitwit.dev/)

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## [Grit](https://www.grit.io/)

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## [HayStack Agent](https://docs.haystack.deepset.ai/docs/agent)

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## [Hex Magic](https://hex.tech/product/magic-ai/)

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## [Heymoon.ai](https://heymoon.ai/)
Personal assistant for life: to keep you on top of your calendar, tasks and information. Was at Llama event demo

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## [Hyperwrite](https://www.hyperwriteai.com/)
Your personal AI writing assistant

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## [Jarvis]()

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## [LangChain - Agents Round](https://blog.langchain.dev/agents-round/)

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## [LastMile AI](https://lastmileai.dev/)

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## [Loop GPT](https://github.com/farizrahman4u/loopgpt/tree/main)
 
 <details>
- Languages: Python
- Default model: GPT-3.5-turbo (also possible with GPT-4)
- Modular Auto-GPT Framework
- Plug N Play" API - Extensible and modular "Pythonic" framework, not just a command line tool
- Easy to add new features, integrations and custom agent capabilities, all from python code, no nasty config files!
- Minimal prompt overhead - Every token counts. We are continuously working on getting the best results with the least possible number of tokens.
- Human in the Loop - Ability to "course correct" agents who go astray via human feedback.
- Full state serialization - can save the complete state of an agent, including memory and the states of its tools to a file or python object. No external databases or vector stores required (but they are still supported)!
	</details>
 
## [Minion AI](https://minion.ai/)

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## [MultiOn](https://multion.ai/)

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## [Naut ai](https://www.naut.ai/)

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## [Pezzo](https://www.pezzo.ai/)

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## [Saga](https://saga.so/)

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## [Second](https://www.second.dev/)

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## [Smol developer](https://github.com/smol-ai/developer)

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## [Superagent](https://www.superagent.sh/)</details>

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## [Sweep](https://sweep.dev/)

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## [Yourgoal]()

Description: Swift implementation of BabyAGI.

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Author: PJ Gray
Twitter: https://twitter.com/pj4533
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