I read that you're writing about AI Agents, so maybe I can help you a bit.

With Langflow, designing agent architectures becomes intuitive and visual. Combine that with DataStax - a robust vector database built on Apache Cassandra - and you’ve got a scalable, production-ready setup for memory and retrieval-augmented generation (RAG).

Whether you're prototyping or deploying at scale, this combo offers flexibility, speed, and serious potential.

Of course, you don't have to use DataStax - you can run Langflow on your own server or locally.

https://www.langflow.org/
https://github.com/langflow-ai/langflow
https://www.datastax.com/products/langflow

Need to connect a language model to Langflow but don’t want to pay for it?
With some limitations, providers like Cohere offer quite a few free tokens.
https://cohere.com/

Setting it all up yourself? Okay - then you can find plenty of good models here:
https://huggingface.co/models

Have fun ;-)