BabyAGI VS GoalGPT

Compare BabyAGI VS GoalGPT and see what are their differences

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BabyAGI

A pared-down version of Task-Driven Autonomous AI Agent

GoalGPT

Design and launch self-governing AI GPT robots.

Landing page //
2023-10-15

Landing page //
2023-12-23

BabyAGI: A Real First Test

GoalGPT videos

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How To Automate Any Task Using GoalGPT AI Agent

Category Popularity

0-100% (relative to BabyAGI and GoalGPT)

BabyAGI

GoalGPT

70 70%

30% 30

Utilities

69 69%

Utilities

31% 31

Developer Tools

62 62%

Developer Tools

38% 38

Productivity

100 100%

Productivity

0% 0

User comments

Share your experience with using BabyAGI and GoalGPT. For example, how are they different and which one is better?

Social recommendations and mentions

Based on our record, BabyAGI seems to be more popular. It has been mentiond 9 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

BabyAGI mentions (9)

AGI has, in some sense, been achieved: Tell me why I am wrong
Define agency. Does AutoGPT or BabyAGI fit the definition? Source: 6 months ago
What innovations/discoveries have come out because/since the release of LLMS since the gain of popularity in the last 5ish months?
People also have been trying to build multi-agent and task-planning systems. MS research in Asia seems to produce decent results with Task Matrix and HuggingGPT. Similar things have been tried in the form of Auto-GPT and BabyAGI , but both projects are setting their goal so high that they may not achieve the at all, and they are likely to see a complete rework when multi-modal solutions become widespread. Source: about 1 year ago
autogpt-like framework?
BabyAGI AI-Powered Task Management for OpenAI + Pinecone or Llama.cpp. Source: about 1 year ago
What’s with the fear?
Yes, we haven't seen anything like that yet. But we do see the people trying to build these things (see AutoGPT, babyagi, ChaosGPT, etc) today, and with the last few years of advancement in LLMs they now have the fundamental building blocks to succeed in the near term (say the next 5 years) rather than in some imaginary far future. Source: about 1 year ago
Could an AI learn things or discover things humans have not been able to understand or not discovered yet?
You should check out some of the projects that combine LangChain with LLMs to automate this process like BabyAGI (https://github.com/yoheinakajima/babyagi) and AutoGPT (https://github.com/Significant-Gravitas/Auto-GPT). They were originally designed around ChatGPT models but have expanded to include llamacpp as an alternative. These provide your language models with the ability to save long term memory, a... Source: about 1 year ago