{"id":20929927,"url":"https://github.com/enricoros/awesome-agi","last_synced_at":"2025-12-28T22:46:17.018Z","repository":{"id":171847301,"uuid":"627646011","full_name":"enricoros/awesome-agi","owner":"enricoros","description":"A curated list of amazing resources, papers, articles, and tools related to Artificial General Intelligence.","archived":false,"fork":false,"pushed_at":"2023-04-13T22:59:41.000Z","size":2,"stargazers_count":54,"open_issues_count":0,"forks_count":10,"subscribers_count":5,"default_branch":"main","last_synced_at":"2025-03-10T14:51:19.212Z","etag":null,"topics":["agi","ai-research","ai-resources","artificial-general-intelligence","artificial-intelligence","autonomous-agents","deep-learning","gpt","large-language-models","machine-learning","reasoning-systems"],"latest_commit_sha":null,"homepage":"","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/enricoros.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null}},"created_at":"2023-04-13T22:47:32.000Z","updated_at":"2025-02-19T01:24:00.000Z","dependencies_parsed_at":"2024-01-13T14:48:44.534Z","dependency_job_id":"45426b92-eca6-4369-b7a4-26f02d7a273e","html_url":"https://github.com/enricoros/awesome-agi","commit_stats":null,"previous_names":["enricoros/awesome-agi"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/enricoros%2Fawesome-agi","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/enricoros%2Fawesome-agi/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/enricoros%2Fawesome-agi/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/enricoros%2Fawesome-agi/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/enricoros","download_url":"https://codeload.github.com/enricoros/awesome-agi/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243324263,"owners_count":20273099,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["agi","ai-research","ai-resources","artificial-general-intelligence","artificial-intelligence","autonomous-agents","deep-learning","gpt","large-language-models","machine-learning","reasoning-systems"],"created_at":"2024-11-18T21:24:49.650Z","updated_at":"2025-12-28T22:46:16.973Z","avatar_url":"https://github.com/enricoros.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# Awesome AGI - Artificial General Intelligence 🧠🚀\n\n🔥 A compilation of state-of-the-art AGI resources and methodologies 📚, curated to assist app developers 🛠️ and awesome people 🌟 in keeping abreast with the most recent progressions in the realm of Artificial General Intelligence 🧠💡.\n\n_If you want to contribute, please read the [contribution guidelines](CONTRIBUTING.md)._\n\n\n## Introduction\n\nThis repository is dedicated to providing the latest and most relevant resources on AGI to keep you informed and inspired. While there is debate on the definition of AGI, practitioners take it to their IDEs and Terminals to harness the power of LLMs with outer-loops (and soon other LLMs) to inch closer and closer to AGI. \n\n\n## 🌌 Reasoning Systems\n\nMost recent developments on top, as obsolecence is quick in this space, because of the breadth and speed of innovation.\n\n| System            | Date   | Comments                                       | Information                                                                                                                                                                                            |\n|:------------------|--------|------------------------------------------------|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| Generative Agents | Apr 7  | Simulate human behavior with generative agents | [[PDF](https://arxiv.org/pdf/2304.03442)] [Generative Agents: Interactive Simulacra of Human Behavior](https://arxiv.org/abs/2304.03442)                                                               |\n| AutoGPT           | Apr 3  | objective-driven: Execution VM, with Agents    | [Torantulino/Auto-GPT](https://github.com/Torantulino/Auto-GPT)                                                                                                                                        |\n| BabyAGI           | Apr 2  | objective-driven: Task expander loop           | [yoheinakajima/babyagi](https://github.com/yoheinakajima/babyagi)                                                                                                                                      |\n| HuggingGPT        | Mar 30 | Model calls specialized models for input       | [[PDF](https://arxiv.org/pdf/2303.17580)] [Solving AI Tasks with ChatGPT and its Friends in HuggingFace](https://arxiv.org/abs/2303.17580)                                                             |\n| Reflexion         | Mar 20 |                                                | [[PDF](https://arxiv.org/pdf/2303.11366)] [Reflexion: an autonomous agent with dynamic memory and self-reflection](https://arxiv.org/abs/2303.11366)                                                   |\n| DEPS              | Feb 3  |                                                | [[PDF](https://arxiv.org/pdf/2302.01560)] [Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agents](https://arxiv.org/abs/2302.01560) |\n| ReAct             | 2022   |                                                | [[PDF](https://arxiv.org/pdf/2210.03629)] [ReAct: Synergizing Reasoning and Acting in Language Models](https://arxiv.org/abs/2210.03629)                                                               |\n\n\n## Articles\n\n- [Task-driven Autonomous Agent Utilizing GPT-4, Pinecone, and LangChain](https://yoheinakajima.com/task-driven-autonomous-agent-utilizing-gpt-4-pinecone-and-langchain-for-diverse-applications/) - Yohei's system to achieve AGI thought a Task-expansion loop\n- [Sparks of Artificial General Intelligence](https://arxiv.org/abs/2303.12712) - Microsoft's experience report on GPT-4, including how unicorns got uglier\n\n\n## Future Content\n- [Tools](#tools)\n- [Events](#events)\n- [Communities](#communities)\n\n\n## 🌟 Enjoy \u0026 Edit\n\nThis is made of your contributions! If you know of any AGI systems, techniques, or resources\nthat should be included, please submit a pull request and we'll process it soon.\n\n_If you want to contribute, please read the [contribution guidelines](CONTRIBUTING.md)._\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fenricoros%2Fawesome-agi","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fenricoros%2Fawesome-agi","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fenricoros%2Fawesome-agi/lists"}