NAISYS

Throwing this out there, I have a command line driver for LLMs. Lots of little tricks in there to adapt the CLI to make it amiable for LLMs. Like interrupting a long running process periodically and asking the LLM if it wants to kill it or continue waiting. Also allowing the LLM to use and understand apps that use the alternate screen buffer (to some degree). Overall I try to keep it as thin a wrapper as I can. The better the model, the less wrapper is needed. It's a good way to measure model competence. The code is here https://github.com/swax/NAISYS and context logs here for examples - https://test.naisys.org/logs/ I have agents built with it that do research on the web for content, run python scripts, update the database, maintain a website, etc.. all running through the CLI, if it calls APIs then it does it with curl. Example agent i

Wrote an open source command shell wrapper for LLMs to use. Just testing it with with writing a website from scratch. Comparing GPT-4 and Claude 3 Opus. The results: Pretty similar, they can write a PHP page, with components, styles, and active elements like a fun quiz on one of the pages. Video: https://www.youtube.com/watch?v=4TnaJLq0E-o Article: https://naisys.org/articles/3-dollar-website-gpt4-vs-claude-opus GitHub repo: https://github.com/swax/NAISYS

Using my open source project NAISYS, which is a context friendly command shell wrapper, to compare different AI models in how well they can build a website from scratch https://github.com/swax/NAISYS

I recently released NAISYS, an open source command shell wrapper for LLMs that makes the shell all context friendly. I've been testing it out with building web sites, and improving things along the way. It's funny how good AI is at answering questions, but not like project management. So I'm using NAISYS to explore that. https://github.com/swax/NAISYS

I recently released NAISYS, and open source command shell wrapper for LLMs that makes the shell all context friendly for them. I've been testing it out with building web sites, and improving things along the way. It's funny how good AI is at answering questions, but not like project management. So I'm using NAISYS to explore that. https://github.com/swax/NAISYS

Skip to the end to see the results. Full logs and final websites are located here: https://test.naisys.org/archives/24-03-09-battle/ NAISYS is an small open source project that helps LLMs work in the command shell: https://github.com/swax/NAISYS

Skip to the end to see the results. Full logs and final websites are located here: https://test.naisys.org/archives/24-03-09-battle/ NAISYS is an small open source project that helps LLMs work in the command shell: https://github.com/swax/NAISYS

Skip to the end to see the results. Full logs and final websites are located here: https://test.naisys.org/archives/24-03-09-battle/ NAISYS is an small open source project that helps LLMs work in the command shell: https://github.com/swax/NAISYS

Run NAISYS with an agent configuration yaml, and it will run the agents in a wrapper around your actual shell that is context friendly. It even has a custom mail client and browser wrapper that is agent/context friendly. In the demo video a Claude3 and GPT4 agent build a website from scratch together on the command line. GitHub: https://github.com/swax/NAISYS NPM: https://www.npmjs.com/package/naisys YouTube Demo: https://www.youtube.com/watch?v=Ttya3ixjumo