Show HN: Code-Free AI Agents in Minutes

Here’s a quick demo of a team of agents that I build without a single line of code:

The team is: root: Fetches 3 top stories from HackerNews researcher: Picks one story and creates a content plan for the writer writer: Writes a blog post critic: Provides feedback on the blog post The writer and critic engage in a multi-round dialogue, exchanging feedback and blog post iterations. Once complete, everything is saved to an .md file.

It took me less than a couple of minutes to assemble this team from scratch, and this is just a tip of the iceberg.

This example doesn’t use any reasoning frameworks like React or Reflexion, but it's easy to implement any of these frameworks and experiment with different ideas. I’ve implemented frameworks like React, Reflexion, and Self-discovery in just minutes without any coding.

The platform supports complex interactions between agents. You can specify who communicates with whom and let the LLM decide how to manage the process of agent intercommunication. What you can build is limited only by your imagination.

Think of the platform as an OS where the LLM acts as the processor. It includes system functions for working with files, a vector database, a code interpreter, and many other native functions controlled through natural language instructions. Our focus is on simplicity and accessibility for everyone. The platform is written in Rust and will be open-sourced soon.

Feel free to challenge me in the comments on what use case do you want me to build next.