Agentic Systems in 2025

In 2023, shortly after the release of ChatGPT, we saw a new player in the space. AutoGPT. Touted as one of the world’s first agentic frameworks, AutoGPT gave developers a glimpse into the future of AI. Fully autonomous, self-correcting AI Agents - otherwise known as an agentic system.

Fast forward to early 2025 and we are starting to see these systems popup all over the world. The future of AI truly is Agentic - but what exactly does this mean? Is it just another buzz word or is it actually here to stay?

What Exactly are Agentic Systems?

Agentic systems are next-level AI tools that can work without needing someone to hold their hand. They’re not your typical software—these systems can:

• Understand their environment: They get the context of the tasks they’re doing.
• Make decisions: They weigh options and choose actions based on their goals.
• Learn over time: The more they’re used, the better and smarter they get, thanks to machine learning.

This makes agentic systems perfect for tackling all sorts of jobs. At OMNIUX, we’ve tapped into their power for some of our most important projects.

Retrieval Augmented Generation

For a truly agentic system to work, it needs to be context aware. Though it’s incredible that these systems are able to make decisions on their own, they still need data and context fed to them in order to be efficient. With Retrival Augmented Generation we can convert data stored in our Database into a Vector Embedding - A 3D vectorized representation of language using a form of nearest-neighbour algorithms to sort and pragmatically identify keywords and meaning. 

But why embed when we can just include the necessary context by having your agent perform a simple DB query? 

Well, it’s first of all much faster to lookup data using a vector embedding especially with a model trained specifically on Natural Language Processing (NLP). Second, it’s much cheaper - both in terms of compute and in terms of network requests. If you think about how an AI Agent operates - it would first have to parse your query, identify the action to take (DB lookup), identify the correct query to make (whilst also understanding your database schema), send a request to the DB, parse the response, and then finally find a way to implement that answer into its response.Compare that to simply looking for relevant information using a vector embed and some helpful additional context - and you have a much faster, much more powerful AI Agent.

How We’re Using Agentic Systems at OMNIUX

Agentic systems are like our secret weapon for doing more, faster, and better. Here’s how they’re changing the game for us:

1. Web Development Made Easier: These systems take on the boring stuff—like cleaning up code, running tests, and rolling out updates—so our developers can focus on the fun, creative work. This means our websites get done quicker and come out looking awesome.
2. Creating Media That Pops: From snazzy social media graphics to eye-catching marketing videos, our agentic systems help us create content that hits the mark. They analyze trends and audience preferences, so everything we make feels fresh and relevant. Plus, it saves us hours of work!
3. Keeping Finances on Track: Tracking expenses and preparing reports isn’t exactly thrilling, but agentic systems make it a breeze. They handle invoices, monitor spending, and even give us real-time financial insights so we can make smarter calls without the stress.

The LangGraph Advantage

One of the reasons we’ve been able to nail agentic systems is LangGraph. It’s like the ultimate project manager for AI, making sure all our AI agents are working together seamlessly. Whether it’s building a new website or creating a marketing campaign, LangGraph ensures every piece of the puzzle fits perfectly. The result? Faster timelines and top-notch results for our clients.