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https://github.com/ScarletPan/awesome-autonomous-gpt

A curated list of awesome projects and resources related to autonomous AI agents.
https://github.com/ScarletPan/awesome-autonomous-gpt
List: awesome-autonomous-gpt
agi autogpt autonomous-agents chatgpt gpt gpt-4 openai
Last synced: about 1 month ago
JSON representation
A curated list of awesome projects and resources related to autonomous AI agents.
Host: GitHub
URL: https://github.com/ScarletPan/awesome-autonomous-gpt
Owner: ScarletPan
Created: 2023-05-22T09:44:59.000Z (over 1 year ago)
Default Branch: main
Last Pushed: 2023-12-29T02:57:31.000Z (12 months ago)
Last Synced: 2024-05-19T19:04:35.005Z (7 months ago)
Topics: agi, autogpt, autonomous-agents, chatgpt, gpt, gpt-4, openai
Homepage:
Size: 52.7 KB
Stars: 255
Watchers: 14
Forks: 16
Open Issues: 2
Metadata Files:
- Readme: README.md
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README

        # Awesome Autonomous GPT ![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)

## Table of Contents

- [Introduction](#introduction)

- [Projects](#projects)

- [Articles](#articles)

- [Talks](#talks)

## Introduction

Currently, I am deeply fascinated by and actively working on developing gpt-based autonomous AI agents that interact with the real world. I believe that, at this time, it presents the clearest roadmap towards achieving AGI. This project is a collection of awesome projects and resources related to autonomous ai agents for everyone.

> 🔥 Our self-developed agent system [KwaiAgents](https://github.com/KwaiKEG/KwaiAgents) now released! All of the system code, models and data are open-sourced.

> 

> 💡 This repo has been included in the [Auto-GPT wiki](https://github.com/Significant-Gravitas/Nexus/wiki/Awesome-Resources) !

## Projects

### Developer tools

- [2023/09/12] [agents](https://github.com/aiwaves-cn/agents) - An Open-source Framework for Autonomous Language Agents

- [2023/08/10] [ModelScope-Agent](https://github.com/modelscope/modelscope-agent) - An Agent Framework Connecting Models in ModelScope with the World

- [2023/05/25] [Gorilla](https://github.com/ShishirPatil/gorilla) - An API store for LLMs

- [2023/05/01] [AgentVerse](https://github.com/OpenBMB/AgentVerse) - 🤖 AgentVerse 🪐 is designed to facilitate the deployment of multiple LLM-based agents in various applications

- [2023/03/31] [BMTools](https://github.com/OpenBMB/BMTools) - Tool Learning for Big Models, Open-Source Solutions of ChatGPT-Plugins

- [2023/03/09] [LMQL](https://github.com/eth-sri/lmql) - A query language for programming (large) language models.

- [2022/10/25] [Langchain](https://github.com/hwchase17/langchain) - ⚡ Building applications with LLMs through composability ⚡

### Applications

- [2023/12/08] [KwaiAgents](https://github.com/KwaiKEG/KwaiAgents) - A generalized information-seeking agent system with Large Language Models (LLMs).

- [2023/10/18] [XAgent](https://github.com/OpenBMB/XAgent) - An Autonomous LLM Agent for Complex Task Solving

- [2023/10/12] [MemGPT](https://github.com/cpacker/MemGPT) - Teaching LLMs memory management for unbounded context 📚🦙

- [2023/09/19] [autogen](https://github.com/microsoft/autogen) - Enable Next-Gen Large Language Model Applications. 

- [2023/08/20] [GPTeam](https://github.com/101dotxyz/GPTeam) - GPTeam uses GPT-4 to create multiple agents who collaborate to achieve predefined goals. 

- [2023/08/08] [OpenAgents](https://github.com/xlang-ai/OpenAgents) - OpenAgents: An Open Platform for Language Agents in the Wild.

- [2023/07/24] [DevOpsGPT](https://github.com/kuafuai/DevOpsGPT) - Multi agent system for AI-driven software development. Combine LLM with DevOps tools to convert natural language requirements into working software. Supports any development language and extends the existing code

- [2023/07/18] [gpt-pilot](https://github.com/Pythagora-io/gpt-pilot) - Dev tool that writes scalable apps from scratch while the developer oversees the implementation. 

- [2023/07/08] [ShortGPT](https://github.com/RayVentura/ShortGPT) - 🚀🎬 ShortGPT - An experimental AI framework for automated short/video content creation. Enables creators to rapidly produce, manage, and deliver content using AI and automation.

- [2023/07/05] [gpt-researcher](https://github.com/assafelovic/gpt-researcher) - GPT based autonomous agent that does online comprehensive research on any given topic

- [2023/07/04] [DemoGPT](https://github.com/melih-unsal/DemoGPT) - 🧩DemoGPT enables you to create quick demos by just using prompts. [[demo]](demogpt.io)

- [2023/06/30] [MetaGPT](https://github.com/geekan/MetaGPT) - 🌟 The Multi-Agent Framework: Given one line Requirement, return PRD, Design, Tasks, Repo

- [2023/06/21] [gpt-author](https://github.com/mshumer/gpt-author) - This project utilizes a chain of GPT-4, Stable Diffusion, and Anthropic API calls to generate an original fantasy novel. 

- [2023/06/11] [gpt-engineer](https://github.com/AntonOsika/gpt-engineer) - Specify what you want it to build, the AI asks for clarification, and then builds it.

- [2023/05/16] [SuperAGI](https://github.com/TransformerOptimus/SuperAGI) - <⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.

- [2023/05/13] [Developer](https://github.com/smol-ai/developer) - Human-centric & Coherent Whole Program Synthesis aka your own personal junior developer

- [2023/04/07] [AgentGPT](https://github.com/reworkd/AgentGPT) - 🤖 Assemble, configure, and deploy autonomous AI Agents in your browser. [[demo]](agentgpt.reworkd.ai)

- [2023/04/03] [BabyAGI](https://github.com/yoheinakajima/babyagi) - an example of an AI-powered task management system

- [2023/03/30] [AutoGPT](https://github.com/Significant-Gravitas/Auto-GPT) - An experimental open-source attempt to make GPT-4 fully autonomous.

- [2023/03/09] [TaskMatrix](https://github.com/moymix/TaskMatrix) - Connects ChatGPT and a series of Visual Foundation Models to enable sending and receiving images during chatting.

### Benchmarks

- [2023/08/07] [AgentBench](https://github.com/THUDM/AgentBench) - A Comprehensive Benchmark to Evaluate LLMs as Agents. [[paper]](https://arxiv.org/abs/2308.03688)

- [2023/06/18] [Auto-GPT-Benchmarks](https://github.com/Significant-Gravitas/Auto-GPT-Benchmarks) - A repo built for the purpose of benchmarking the performance of agents, regardless of how they are set up and how they work.

- [2023/05/28] [ToolBench](https://github.com/OpenBMB/ToolBench) - An open platform for training, serving, and evaluating large language model for tool learning.

## Articles

### Research Papers

- [2023/12/22] [Pangu-Agent: A Fine-Tunable Generalist Agent with Structured Reasoning](https://arxiv.org/pdf/2312.14878.pdf), Filippos Christianos et al.

- [2023/12/07] [Fortify the Shortest Stave in Attention: Enhancing Context Awareness of Large Language Models for Effective Tool Use](https://arxiv.org/abs/2312.04455), Yuhan Chen et al. [[website]](https://github.com/AlibabaResearch/DAMO-ConvAI/attention-buckets)

- [2023/10/09] [FireAct: Toward Language Agent Fine-tuning](https://arxiv.org/abs/2310.05915), Baian Chen et al. [[website]](https://fireact-agent.github.io/)

- [2023/10/09] [Humanoid Agents: Platform for Simulating Human-like Generative Agents](https://arxiv.org/abs/2310.05418), Zhiling Wang et al. [[website]](https://github.com/HumanoidAgents/HumanoidAgents)

- [2023/09/27] [Cognitive Architectures for Language Agents](https://arxiv.org/pdf/2309.02427.pdf), Theodore R. Sumers et al. 

- [2023/09/14] [The Rise and Potential of Large Language Model Based Agents: A Survey](https://arxiv.org/pdf/2309.07864v1.pdf), Zhiheng Xi, et al. [[website]](https://arxiv.org/pdf/2309.07864v1.pdf)

- [2023/08/22] [A Survey on Large Language Model based Autonomous Agents](https://arxiv.org/pdf/2308.11432.pdf), Lei Wang, et al.  [[website]](https://github.com/Paitesanshi/LLM-Agent-Survey)

- [2023/08/20] [AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework](https://arxiv.org/abs/2308.08155), Qingyun Wu, et al.

- [2023/08/11] [BOLAA: Benchmarking and Orchestrating LLM-Augmented Autonomous Agents](https://arxiv.org/pdf/2308.05960v1.pdf), Zhiwei Liu, et al.

- [2023/08/07] [TPTU: Large Language Model-based AI Agents for Task Planning and Tool Usage](https://arxiv.org/abs/2308.03427), Jingqing Ruan et al.

- [2023/07/31] [ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs](https://arxiv.org/abs/2307.16789), Yujia Qin, et al.

- [2023/07/16] [Communicative Agents for Software Development](https://arxiv.org/abs/2307.07924), Chen Qian, et al.[[code]](https://github.com/OpenBMB/ChatDev)

- [2023/06/09] [Mind2Web: Towards a Generalist Agent for the Web](https://arxiv.org/pdf/2306.06070.pdf), Xiang Deng, et al. [[code]](https://github.com/OSU-NLP-Group/Mind2Web) [[demo]](https://osu-nlp-group.github.io/Mind2Web/)

- [2023/06/05] [Orca: Progressive Learning from Complex Explanation Traces of GPT-4](https://arxiv.org/pdf/2306.02707.pdf), Subhabrata Mukherjee, et al.

- [2023/06/05] [RecAgent: A Novel Simulation Paradigm for Recommender Systems](https://arxiv.org/abs/2306.02552), Lei Wang, et al. [[code]](https://github.com/RUC-GSAI/YuLan-Rec)

- [2023/05/25] [Voyager: An Open-Ended Embodied Agent with Large Language Models](https://arxiv.org/pdf/2305.16291.pdf), Guanzhi Wang, et al. [[code]](https://github.com/MineDojo/Voyager) [[website]](https://voyager.minedojo.org/)

- [2023/05/23] [ReWOO: Decoupling Reasoning from Observations for Efficient Augmented Language Models](https://arxiv.org/pdf/2305.18323.pdf), Binfeng Xu, et al. [[code]](https://github.com/billxbf/ReWOO)

- [2023/05/17] [Tree of Thoughts: Deliberate Problem Solving with Large Language Models](https://arxiv.org/abs/2305.10601), Shunyu Yao, et al.[[code]](https://github.com/kyegomez/tree-of-thoughts) [[code-orig]](https://github.com/ysymyth/tree-of-thought-llm) 

- [2023/05/12] [MEGABYTE: Predicting Million-byte Sequences with Multiscale Transformers](https://arxiv.org/abs/2305.07185), Lili Yu, et al.

- [2023/05/19] [FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance](https://arxiv.org/abs/2305.05176), Lingjiao Chen, et al.

- [2023/05/06] [Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models](https://arxiv.org/abs/2305.04091), Lei Wang, et al.

- [2023/05/01] [Learning to Reason and Memorize with Self-Notes](https://arxiv.org/abs/2305.00833), Jack Lanchantin, et al.

- [2023/04/24] [WizardLM: Empowering Large Language Models to Follow Complex Instructions](https://arxiv.org/abs/2304.12244), Can Xu, et al.

- [2023/04/22] [LLM+P: Empowering Large Language Models with Optimal Planning Proficiency](https://arxiv.org/abs/2304.11477), Bo Liu, et al.

- [2023/04/07] [Generative Agents: Interactive Simulacra of Human Behavior](https://arxiv.org/abs/2304.03442), Joon Sung Park, et al. [[code]](https://github.com/mkturkcan/generative-agents)

- [2023/03/30] [Self-Refine: Iterative Refinement with Self-Feedback](https://arxiv.org/abs/2303.17651), Aman Madaan, et al.[[code]](https://github.com/madaan/self-refine)

- [2023/03/30] [HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in HuggingFace](https://arxiv.org/pdf/2303.17580.pdf), Yongliang Shen, et al. [[code]](https://github.com/microsoft/JARVIS) [[demo]](https://huggingface.co/spaces/microsoft/HuggingGPT)

- [2023/03/20] [Reflexion: Language Agents with Verbal Reinforcement Learning](https://arxiv.org/pdf/2303.11366.pdf), Noah Shinn, et al. [[code]](https://github.com/noahshinn024/reflexion)

- [2023/03/04] [Towards A Unified Agent with Foundation Models](https://openreview.net/pdf?id=JK_B1tB6p-), Norman Di Palo et al.

- [2023/02/23] [Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection](https://arxiv.org/abs/2302.12173), Sahar Abdelnab, et al.

- [2023/02/09] [Toolformer: Language Models Can Teach Themselves to Use Tools](https://arxiv.org/pdf/2302.04761.pdf), Timo Schick, et al. [[code]](https://github.com/lucidrains/toolformer-pytorch)

- [2022/12/12] [LMQL: Prompting Is Programming: A Query Language for Large Language Models](https://arxiv.org/abs/2212.06094), Luca Beurer-Kellner, et al.

- [2022/10/06] [ReAct: Synergizing Reasoning and Acting in Language Models](https://arxiv.org/pdf/2210.03629.pdf), Shunyu Yao, et al. [[code]](https://github.com/ysymyth/ReAct)

- [2022/07/20] [Inner Monologue: Embodied Reasoning through Planning with Language Models](https://arxiv.org/pdf/2207.05608.pdf), Wenlong Huang, et al. [[demo]](https://innermonologue.github.io/)

- [2022/04/04] [Do As I Can, Not As I Say: Grounding Language in Robotic Affordances](), Michael Ahn, e al. [[demo]](https://say-can.github.io/)

- [2021/12/17] [WebGPT: Browser-assisted question-answering with human feedback](https://arxiv.org/pdf/2112.09332.pdf), Reiichiro Nakano, et al.

- [2021/06/17] [LoRA: Low-Rank Adaptation of Large Language Models](https://arxiv.org/abs/2106.09685), Edward J. Hu, et al.

### Blog Articles

- [2023/08/14] [A Roadmap of AI Agents(Chinese)](https://zhuanlan.zhihu.com/p/649916692) By Haojie Pan

- [2023/06/23] [LLM Powered Autonomous Agents](https://lilianweng.github.io/posts/2023-06-23-agent/) By Lilian Weng

- [2023/06/11] [A CRITICAL LOOK AT AI-GENERATED SOFTWARE](https://spectrum.ieee.org/ai-software) By JAIDEEP VAIDYAHAFIZ ASIF

- [2023/04/29] [AUTO-GPT: UNLEASHING THE POWER OF AUTONOMOUS AI AGENTS](https://www.leewayhertz.com/autogpt/) By Akash Takyar

- [2023/04/20] [Conscious Machines: Experiments, Theory, and Implementations(Chinese)](https://pattern.swarma.org/article/230) By Jiang Zhang

- [2023/04/18] [Autonomous Agents & Agent Simulations](https://blog.langchain.dev/agents-round/) By Langchain

- [2023/04/16] [4 Autonomous AI Agents you need to know](https://towardsdatascience.com/4-autonomous-ai-agents-you-need-to-know-d612a643fa92) By Sophia Yang

- [2023/03/31] [ChatGPT that learns to use tools(Chinese)](https://zhuanlan.zhihu.com/p/618448188) By Haojie Pan

### Talks

- [2023/06/05] [Two Paths to Intelligence](https://www.youtube.com/watch?v=rGgGOccMEiY&t=1497s) by Geoffrey Hinton

- [2023/05/24] [State of GPT](https://www.youtube.com/watch?v=bZQun8Y4L2A) by Andrej Karpathy | OpenAI