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Description: Created by Asim Shrestha, AgentGPT permits for the meeting, configuration, and deployment of autonomous AI brokers proper in your browser.
Creator: Asim Shrestha
?️ Twitter: https://twitter.com/asimdotshrestha
Description: This venture brings BabyAGI to Slack, with every thread representing a singular goal. Its writer, Frank Chen, has enabled seamless integration with a well-liked communication platform.
Creator: Frank Chen
?️ Twitter: https://twitter.com/frankc

Description: AgentLLM, developed by Ido Salomon, employs a browser-native LLM as an alternative of ChatGPT, offering a singular strategy to autonomous AI brokers.
Creator: Ido Salomon
?️ Twitter: https://twitter.com/idosal1
Description: Run arbitrary Python code to carry out duties, creating routines for pyautogui
, internet scraping, and even controlling its reminiscence.
Creator: Bruno De Oliveira
?️ Twitter: https://twitter.com/LatentLich
Description: Related in spirit to AutoGPT and Child AGI, however written within the superior language that’s TypeScript (Creator Description).
Creator: eumemic
?️ Twitter: https://twitter.com/dysmemic

Description: Swift (programming language) implementation of BabyAGI.
Creator: PJ Grey
?️ Twitter: https://twitter.com/pj4533
Description: Plug-in to run autonomous brokers instantly inside ChatGPT
Creator: Pietro Schirano
?️ Twitter: https://twitter.com/skirano
Description: An internet-based model of AutoGPT or Child AGI.
Creator: Sully Omarr
?️ Twitter: https://twitter.com/SullyOmarr

Description: An internet-based model of AutoGPT or Child AGI.
Authors: Lonis, Emil Ahlbäck, and fant
?️ Twitter: https://twitter.com/SullyOmarr
? Really helpful: AutoGPT vs BabyAGI: Evaluating OpenAI-Based mostly Autonomous Brokers
Description: A crew of autonomous AI brokers for everybody
Creator: Andrew Yu
?️ Twitter: https://twitter.com/andrewcyu

Description: A complete toolkit for experimenting with and creating BabyAGI and Auto-GPT-style Brokers.
Creator: Eduardo Gonzalez
?️ Twitter: https://twitter.com/wm_eddie
Description: Eric Ciarla brings BabyAGI to the JavaScript neighborhood together with his venture.
Creator: Eric Ciarla
?️ Twitter: https://twitter.com/ericciarla

Description: Sean Pixel’s venture makes use of OpenAI and Pinecone to provide reminiscence to an AI agent and permits it to “suppose” earlier than performing. Impressed by a number of Auto-GPT-related initiatives (predominantly Child AGI) and the paper “Generative Brokers: Interactive Simulacra of Human Habits”.
Creator: Sean Pixel
?️ Twitter: https://twitter.com/sean_pixel
Description: BabyAGI for the Perl programming language.
Creator: Nelson Ferraz
Description: A composable and extensible framework for creating AI brokers with TypeScript/JavaScript.
Creator: Lars Grammel
?️ Twitter: https://twitter.com/lgrammel
Description: Streamlit internet app to make it extra accessible.
Creator: Dory
?️ Twitter: https://twitter.com/dory111111

Description: Helps you retain monitor of your duties, prioritize them, and means that you can deploy AI brokers to get your work accomplished for you.
Creator: Garrett Scott
?️ Twitter: https://twitter.com/thegarrettscott
Description: Combine babyagi with your individual purposes – due to langchain-serve with one easy command – ??-????? ?????? ???????
Creator: Deepankar Mahapatro
?️ Twitter: https://twitter.com/_deepankarm_

Description: Chris Dzoba creates a easy RPG-like surroundings for an LLM-enabled AI Agent to exist in.
Creator: Chris Dzoba
?️ Twitter: https://twitter.com/ChrisDzoba_
Description: Port BabyAGI from Python to TypeScript and supply a pleasant CLI device that may be put in as a world NPM module
Creator: Sam Hogan
?️ Twitter: https://twitter.com/0xSamHogan
Description: API with one endpoint that does every little thing (actually).
Creator: Adam Cohen Hillel
?️ Twitter: https://twitter.com/adamcohenhillel
Description: Ryan William Grippeling’s venture focuses on integrating quite a few AI concepts right into a cohesive complete. It’s nonetheless in its early phases however guarantees to be an thrilling growth.
Creator: Ryan William Grippeling
?️ Twitter: https://twitter.com/ryangrippeling

Description: Cody Burns’ venture is an open-source framework that makes use of AI fashions to automate activity creation and prioritization. It’s constructed on NodeJS, Redis, and OpenAI/LLAMA.
Creator: Cody Burns
?️ Twitter: https://twitter.com/DontPanicBurns
Description: Josh XT’s Agent-LLM is a dynamic AI activity administration assistant with adaptive reminiscence, internet looking, code analysis, and a flexible plugin system for seamless integration with varied AI suppliers.
Creator: Josh XT
?️ Twitter: https://twitter.com/Josh_XT
Description: C# dotnet implementation of BabyAGI.
Creator: Sathyaraj Vadivel
?️ Twitter: https://twitter.com/sathyarajv

Description: Twitter-Agent is an autonomous AI-powered agent for interacting instantly with the Twitter API.
Creator: BigSky
?️ Twitter: https://twitter.com/bigsky_7
This text attracts initiatives from this BabyAGI GitHub repository (supply). Test it out!
? Really helpful: AutoGPT vs BabyAGI: Evaluating OpenAI-Based mostly Autonomous Brokers
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Whereas working as a researcher in distributed programs, Dr. Christian Mayer discovered his love for instructing laptop science college students.
To assist college students attain larger ranges of Python success, he based the programming training web site Finxter.com that has taught exponential abilities to tens of millions of coders worldwide. He’s the writer of the best-selling programming books Python One-Liners (NoStarch 2020), The Artwork of Clear Code (NoStarch 2022), and The E book of Sprint (NoStarch 2022). Chris additionally coauthored the Espresso Break Python sequence of self-published books. He’s a pc science fanatic, freelancer, and proprietor of one of many high 10 largest Python blogs worldwide.
His passions are writing, studying, and coding. However his biggest ardour is to serve aspiring coders by Finxter and assist them to spice up their abilities. You’ll be able to be part of his free electronic mail academy right here.
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