Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Using AgentSpeak(L) as a DSL for event loop / control flow for LLM-based Autonomous Agents, like SuperAGI/BabyAGI/AutoGPT/MetaGPT/BeeBot/etc #16

Open
aindilis opened this issue Aug 19, 2023 · 1 comment

Comments

@aindilis
Copy link

Hi Niklas,

Thank you for releasing python-agentspeak!

I've been watching LLM-based Autonomous Agents take off. One thing that bothers me is the control flow for the agents seems quite simple. Whereas AgentSpeak(L) has a more sophisticated event loop and data representation.

I was wondering what the status of python-agentspeak is? Do you have plans to resume work on it? Also, I am curious what you might think about my use case, whether python-agentspeak is a good framework for controlling LLM-agents? I.e. a skeleton upon which to put some LLM muscle.

Unfortunately I'm just starting out with Python myself, so I cannot really contribute.

I think if we can get python-agentspeak<->LLM-based-automous-agent, that will be checkmate.

Cheers,
Andrew

@javipalanca
Copy link
Collaborator

Hi Andrew,
Unfortunately @niklasf is not answering messages lately, he is probably very busy with other things. I am interested in continuing with the project and possibly we will soon publish a new version (although I would have loved to have Niklas' supervision).

Regarding the use of LLMs, it is a very interesting approach and maybe we will soon examine it in my line of research. But for the moment we are dealing with other issues and I don't think it will be immediate....

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants