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Is one really the loneliest number? In relation to AI agents, the reply is probably going “it depends.” For easy and narrowly scoped workflows, sticking to a single-agent setup can assist you to keep things tidy and efficient.
It’s hard to disregard, nevertheless, just what number of more possibilities open up once you start combining the facility of multiple agents. To assist you to reap the advantages of multi-agent systems without adding unnecessary complexity or clunkiness, don’t miss the lineup of detailed, actionable articles we’ve chosen for you this week.
A Multi-Agent SQL Assistant You Can Trust with Human-in-Loop Checkpoint & LLM Cost Control
A trustworthy, cost-effective, AI-powered SQL assistant? What might need seemed like sci-fi a few years ago is now within sight: Alle Sravani walks us through the means of constructing such an assistant by leveraging SQLite, CrewAI, and Streamlit.
Construct Multi-Agent Apps with OpenAI’s Agent SDK
For a special approach to multi-agent app-building, Alan Jones introduces us to OpenAI’s open-source package and a few of its most compelling features.
Constructing AI-Powered Low-Code Workflows with n8
What if you happen to don’t need to construct your individual agent in any respect? Alessandra Costa shows how an automation platform can function a low-barrier alternative.
This Week’s Must-Read Stories
Compensate for the articles our community has been buzzing about in recent days. Here’s a roundup of this week’s trending stories:
Other Really useful Reads
Explore a few of our standout articles on topics that range from multimodality to declarative framework DSPy:
Meet Our Recent Authors
Explore top-notch work from a few of our recently added contributors:
- Laura Sellers is the Chief Product and Technology Officer at Anaconda and brings deep industry expertise to her writing.
- Rachit Jain is a software engineer at Google, where he’s a part of the Android Automotive OS Framework team.
- Artemij Lehmann joins us with an in depth data evaluation background; his debut article focuses on animating linear transformations.
We love publishing articles from recent authors, so if you happen to’ve recently written an interesting project walkthrough, tutorial, or theoretical reflection on any of our core topics, why not share it with us?
