MetaGPT VS OpenDAN-Personal-AI-OS

Compare MetaGPT vs OpenDAN-Personal-AI-OS and see what are their differences.

MetaGPT

🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming (by geekan)

OpenDAN-Personal-AI-OS

OpenDAN is an open source Personal AI OS , which consolidates various AI modules in one place for your personal use. (by fiatrete)
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MetaGPT OpenDAN-Personal-AI-OS
32 70
39,707 1,540
- -
10.0 9.3
7 days ago 6 days ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

MetaGPT

Posts with mentions or reviews of MetaGPT. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-07.

OpenDAN-Personal-AI-OS

Posts with mentions or reviews of OpenDAN-Personal-AI-OS. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-04.

What are some alternatives?

When comparing MetaGPT and OpenDAN-Personal-AI-OS you can also consider the following projects:

gpt-pilot - The first real AI developer

INSIGHT - INSIGHT is an autonomous AI that can do medical research!

gpt-engineer - Specify what you want it to build, the AI asks for clarification, and then builds it.

Instrukt - Integrated AI environment in the terminal. Build, test and instruct agents.

NeuralGPT - Personalized all-purpose AI assistance platform based on hierarchical cooperative multi-agent framework which utilizes websocket connectivity for LLM<->LLM communication

LMML - The LMML Engine acts as an interpreter between a standardized document format for autonomous agent configuration and the final text prompt fed to the API endpoint of a Large Language Model. LMML (Language Model Markup Language) is a proposed and open standard for giving agential configuration to a predictive API call on any large language model.

dev-gpt - Your Virtual Development Team

Killed by Google - Part guillotine, part graveyard for Google's doomed apps, services, and hardware.

developer - the first library to let you embed a developer agent in your own app!

PyGame-Learning-Environment - PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.

llm-vscode-inference-server - An endpoint server for efficiently serving quantized open-source LLMs for code.

micro-agent - A tiny implementation of an autonomous agent powered by LLMs (OpenAI GPT-4)