Awesome-AGI
malmo
Awesome-AGI | malmo | |
---|---|---|
2 | 2 | |
404 | 4,014 | |
7.2% | 0.4% | |
7.0 | 0.0 | |
8 months ago | 6 months ago | |
Java | ||
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Awesome-AGI
-
Overview: AI Assembly Architectures
github.com/Awesome-AGI
-
List of Awesome AI Agents like AutoGPT and BabyAGI / Many open-source Agents with code included!
Github: https://github.com/e2b-dev/awesome-ai-agents and https://github.com/EmbraceAGI/Awesome-AGI
malmo
-
Overview: AI Assembly Architectures
Malmo: github.com/malmo
-
Project Malmo
Your first stop would probably be the Microsoft landing page - https://www.microsoft.com/en-us/research/project/project-malmo/ followed by the Github page - https://github.com/Microsoft/malmo
What are some alternatives?
autogen - A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap
AgentVerse - 🤖 AgentVerse 🪐 is designed to facilitate the deployment of multiple LLM-based agents in various applications, which primarily provides two frameworks: task-solving and simulation
make-safe-ai - How to Make Safe AI? Let's Discuss! 💡|💬|🙌|📚
awesome-ai-agents - A list of AI autonomous agents
Voyager - An Open-Ended Embodied Agent with Large Language Models
bondai
ArtieSmarts - Free, automatic, accessible, pensively-ethical, personal AGI (artificial general intelligence) *Hint for Github noobs: Scroll down to the README for more details. Also, if you hope this project succeeds, please hit star & support.
babyagi-asi - BabyAGI: an Autonomous and Self-Improving agent, or BASI
beebot - An Autonomous AI Agent that works
haystack - :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.