OpenAI's Swarm - a GAME CHANGER for AI Agents

OpenAI recently released an incredible AI agent framework called Swarm. Swarm is an open source AI agent orchestration tool that allows you to write super clean and simple Python code to create a bunch of agents and seamlessly connect them together to do a lot of absolutely mind blowing things.

In this video, I show you how to build a "swarm" of AI agents with OpenAI's Swarm to manage a SQL database. I'm talking about AI agents to extract insights from your data with SQL queries (based on natural language prompts), table creation, cleaning your data, and much more. My example is simple to keep it really straightforward, but you could extend this to do anything you want with your data. And Swarm makes it really easy to do that!

I also did a collab for Chat2DB which you will see in this video! Chat2DB is an awesome platform for using AI to interact with, extract insights from, and manage your SQL databases. It's also open source which is a HUGE reason I picked them for a collab! OpenAI's Swarm is great, but if you don't have the time/desire to create the setup I cover in this video yourself but you want to use AI for your data, Chat2DB is a fantastic option.

Also, Chat2DB Local is set to launch on Product Hunt on October 22nd. I'm super excited for that - a lot of AI platforms aren't open source and able to run locally, so Chat2DB is really doing things right. Check out the links below!

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00:00 - What is Swarm?
01:48 - Overview of Swarm and it's Purpose
03:55 - Fancy Diagram for What We'll Build with Swarm
07:25 - Chat2DB
08:24 - Creating our Database for our Swarm of Agents
10:45 - Coding our Agents with Swarm
18:00 - Testing our Agent Swarm!
20:17 - Outro

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Here is the link to all the code for the AI agent swarm for managing a SQL database with OpenAI's Swarm!

Check out Chat2DB, an awesome platform to get up and running managing your SQL databases in minutes:

Chat2DB Local is launching on October 22nd:

Link to the OpenAI Swarm repo:

And finally, here is the AI agent cookbook I referenced from the Swarm repo README (definitely worth a read!):

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Artificial Intelligence is no doubt the future of not just software development but the whole world. And I'm on a mission to master it - focusing first on mastering AI Agents.

Join me as I push the limits of what is possible with AI. I'll be uploading videos at least two times a week - Sundays and Wednesdays at 7:00 PM CDT! Sundays and Wednesdays are for everything AI, focusing on providing insane and practical educational value. I will also post sometimes on Fridays at 7:00 PM CDT - specifically for platform showcases - sometimes sponsored, always creative in approach!

[Rkcuddles]

Oh wow… yes please please more sql agent content. I love that you show us the code instead of just a ‘how to click the buttons’ in chat2db.

[WaytogoforAI]

Thanks for the great video with links and no ebook or course selling. You will grow fast.

[nicolassuarez]

Keep digging please! The best SQL Agent out there, I tried a lot, this one is the best :)

[DUSTINISMS]

I have been using this for days. It is so powerful. I have built so many AI agents.

[Christian-schv]

Well done creator... Indeed the custodian of the data! When I grow up, I wanna be just like you! ❤

[tiagodev]

Thank you for such great content mate! There’s so much fluff out there, I’m so grateful for you sharing your knowledge.

[HasanMoni-qg]

awesome. very nicely explained. thank you so much.
hope we will get more tutorials like this.

[webuildyourcloud]

Hey Cole, discovered your channel a couple of days ago and I love i. Keep up the good work.

[IdPreferNot]

more AI integration with sequel databases as a component of an AI app would be great. n00b to sql so ability to work with SQL using NLP through AI is great. Need to understand examples of some of the stuff you automated at the beginning of the video and then also working more with the DB either programmatically or agenticly. Thx!

[ManjaroBlack]

Have a sub for doing sponsorship right and staying open with your code.

[joesmoo]

Thanks, a very good intro into swarm. Directly useable 😊

[FunDumb]

Thanks for this. I've been creating my own sql db's for the past few months. I think I'm gonna try sqllite, and pstgresql as the next stepping stones.

[Max-p]

Thank you for such wonderful content! I got a similar video today. They don't explain it as well as you do. I have a high opinion of you. Look forward to sharing the next AI platform

[epokaixyz]

Consider these actionable insights from the video:
1. Explore OpenAI's Swarm framework as a new way to manage and interact with your SQL databases.
2. Understand the concept of specialized AI agents and how they collaborate within the Swarm framework.
3. Identify areas within your data management workflow where specialized AI agents could improve efficiency and accuracy.
4. Visit the provided resource links to learn more about Swarm, explore examples, and access documentation.
5. Experiment with building your own network of specialized AI agents using Swarm's Python library.

[solyarisoftware]

Hi Colin,

I really appreciated your video, which explains much better than others that specific retrieval needs can be encapsulated within a dedicated agent acting as a domain expert. By the way, it comes to mind that classical LLM-RAG could be implemented by delegating the retrieval part to a Retrieval Agent that could search not only in relational databases but also in various types of documents.

It would be interesting to see how a complex user query (say, involving multiple source searches) could be resolved by a multi-agent system that also shares data among agents using context variables. I’d stay with SWARM because it’s so nice and simple.

Additionally, I wrote an article titled "SWARMing Conversational AI: Integrating No-Code and Code in Agent-Based Workflows, " which you can find online. I would love to hear your feedback on my perspective.

Thanks again!
Giorgio

[higon]

Thank you for easy understanding of swarm framework. So it's basically langchain but it's radically simple and easy to use.
I don't like it makes many OpenAI API calls on every step but oh well, that's their business I guess.
I think it'll be matter of time until someone makes it compatible with other LLM services and local models.

[SyntharaPrime]

Greate effort and content. Thank you very Much.

[DavidPaluy-xbjs]

Thanks for this overview. Can you make a similar product with Open Source model so we can compare version?

[ericgeorge]

I really like the way Swarm lets you compose groups of agents like this. It feels a lot easier than LangGraph/Chain. Is there an easy way to use this with a local LLM like ollama?

[arthurtrdacosta]

Great content! Could we mix Swarm with Langchain and create Agents that execute many tools? I mean by having one main agent to not overwhelm the LLM and others with specific tools? (Actually, isn’t it similar to Crew ai?)