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303 lines
7.1 KiB
Markdown
303 lines
7.1 KiB
Markdown
# 🔮 AI Agents
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*Welcome to our list of AI autonomous agents. Your favorite one is missing? Add them via pull request. :heart:*
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[](https://discord.gg/5GmKg5Uz)
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<a href="https://github.com/tizkovatereza/AI/pulls">
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<img src="https://img.shields.io/badge/PRs-welcome-brightgreen.svg?longCache=true" alt="Pull Requests">
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</a>
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<a href="https://twitter.com/e2b_dev" target="_blank">
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<img src="https://img.shields.io/twitter/follow/e2b.svg?logo=twitter">
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</a>
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## [AgentGPT](https://agentgpt.reworkd.ai/)
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Here is a short summary
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<details>
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- [Website](https://agentgpt.reworkd.ai/)
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- [GitHub](https://github.com/reworkd/AgentGPT)
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Stack:
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- Frontend: NextJS + Typescript
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- Backend: FastAPI + Python
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- DB: MySQL through docker with the option of running SQLite locally
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- [GitHub](https://github.com/reworkd/AgentGPT)
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</details>
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## [AI Legion](https://gpt3demo.com/apps/ai-legion)
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Similar in spirit to AutoGPT and Baby AGI, but written in the superior language that is TypeScript (Author's Description)
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<details>
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- Author: eumemic
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- [Website](https://gpt3demo.com/apps/ai-legion)
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- [GitHub](https://github.com/eumemic/ai-legion)
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- [Twitter](https://twitter.com/dysmemic)
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</details>
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## [AIrplane](https://www.airplane.dev/)
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Developer infrastructure for internal tools
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<details>
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</details>
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## [Aomni](Aomni.com)
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<details>
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</details>
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## [AutoGPT](https://autogpt.net/)
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<details>
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- A lot like BabyAGI combined with LangChain tools.
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- Can execute many commands such as Google Search, browse websites, write to files, and execute Python files
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- [GitHub](https://github.com/Significant-Gravitas/Auto-GPT)
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</details>
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## [BabyAGI](https://github.com/yoheinakajima/babyagi)
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<details>
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- Default model is OpenAI GPT3-turbo
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- 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/)
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- The main idea behind this system is that it creates tasks based on the result of previous tasks and a predefined objective.
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- The script then uses OpenAI's NLP capabilities to create new tasks based on the objective
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</details>
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## [BabyCatAGI](https://replit.com/@YoheiNakajima/BabyCatAGI)
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BabyCatAGI is a mod of BabyBeeAGI, which is a mod of OG BabyAGI. BabyCatAGI is at 300 lines of code.
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<details>
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</details>
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## [BitBuilder](BitBuilder)
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<details>
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</details>
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## [Bloop](https://bloop.ai/)
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<details>
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</details>
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## [Butternut AI](Butternut.ai)
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<details>
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</details>
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## [Camel](https://github.com/camel-ai/camel)
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CAMEL: Communicative Agents for “Mind” Exploration of Large Scale Language Model Society
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<details>
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</details>
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## [Cognosys](https://cognosys.ai)
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Web based version of AutoGPT/babyAGI
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<details>
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- Friendly UI for building AI agents
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- Author: Sully Omarr
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- Twitter: https://twitter.com/SullyOmarr
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</details>
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## [Databerry](https://www.databerry.ai/)
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<details>
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</details>
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## [Factory](https://www.factory.ai/)
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<details>
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</details>
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## [Fixie](https://www.fixie.ai/)
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<details>
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</details>
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## [Generative Agents](https://arxiv.org/abs/2304.03442)
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- "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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<details>
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</details>
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## [GitWit](https://www.gitwit.dev/)
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<details>
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</details>
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## [Grit](https://www.grit.io/)
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<details>
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</details>
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## [HayStack Agent](https://docs.haystack.deepset.ai/docs/agent)
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<details>
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</details>
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## [Hex Magic](https://hex.tech/product/magic-ai/)
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<details>
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</details>
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## [Heymoon.ai](https://heymoon.ai/)
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Personal assistant for life: to keep you on top of your calendar, tasks and information. Was at Llama event demo
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<details>
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</details>
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## [Hyperwrite](https://www.hyperwriteai.com/)
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Your personal AI writing assistant
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<details>
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</details>
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## [Jarvis]()
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<details>
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</details>
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## [LangChain - Agents Round](https://blog.langchain.dev/agents-round/)
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<details>
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</details>
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## [LastMile AI](https://lastmileai.dev/)
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<details>
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</details>
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## [Loop GPT](https://github.com/farizrahman4u/loopgpt/tree/main)
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<details>
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- Languages: Python
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- Default model: GPT-3.5-turbo (also possible with GPT-4)
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- Modular Auto-GPT Framework
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- Plug N Play" API - Extensible and modular "Pythonic" framework, not just a command line tool
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- Easy to add new features, integrations and custom agent capabilities, all from python code, no nasty config files!
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- Minimal prompt overhead - Every token counts. We are continuously working on getting the best results with the least possible number of tokens.
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- Human in the Loop - Ability to "course correct" agents who go astray via human feedback.
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- 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)!
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</details>
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## [Minion AI](https://minion.ai/)
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<details>
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</details>
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## [MultiOn](https://multion.ai/)
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<details>
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</details>
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## [Naut ai](https://www.naut.ai/)
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<details>
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</details>
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## [Pezzo](https://www.pezzo.ai/)
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<details>
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</details>
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## [Saga](https://saga.so/)
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<details>
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</details>
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## [Second](https://www.second.dev/)
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<details>
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</details>
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## [Smol developer](https://github.com/smol-ai/developer)
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<details>
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</details>
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## [Superagent](https://www.superagent.sh/)</details>
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<details>
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</details>
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## [Sweep](https://sweep.dev/)
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<details>
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</details>
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## [“Westworld” simulation](https://theolvs.github.io/westworld/)
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Westworld is a multi-agent simulation library, its goal to simulate and optimize systems and environments with multiple agents interacting.
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<details>
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- Researchers from Stanford and Google created an interactive sandbox env with 25 Gen AI agents can simulate human behavior
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- They walk in the park, join for coffee at a cafe, and share news with colleagues. They demonstrated surprisingly good social
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- Westworld's inspiration is drawn from Unity software and Unity ML Agents, adapted in Python
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### Links
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- [GitHub](https://github.com/TheoLvs/westworld)
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- [Documentation](https://theolvs.github.io/westworld/ )
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### Languages
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- The library is available on PyPi via
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pip install westworld
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- A javascript version is being developed at https://github.com/TheoLvs/westworldjs
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### Current features
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- Easy creation of Grid and non-grid environments
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- Objects (Agents, Obstacles, Collectibles, Triggers)
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- Subclassing of different objects to create custom objects
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- Spawner to generate objects randomly in the environment
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- Basic rigid body system for all objects
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- Simple agent behaviors (pathfinding, wandering, random walk, fleeing, vision range)
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- Automatic maze generation
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- Layer integration to convert image to obstacle and snap it to a grid
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- Sample simulations and sample agents for classic simulations
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- Simulation visualization, replay and export (gif or video)
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</details>
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## [Yourgoal]()
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Swift implementation of BabyAGI.
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<details>
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Author: PJ Gray
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Twitter: https://twitter.com/pj4533
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</details>
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