Hello all, I am the creator of Atomic Agents, A new multi-agent open source framework inspired by Atomic Design principles.
https://github.com/KennyVaneetvelde/atomic_agents
A lot of existing frameworks and methodologies for Agentic AI are focused on building autonomous multi-agent systems that you basically wind up and let go. While these can be fun to demo, they’re not always practical for real-world applications. Real-life companies aren’t looking for a bot that writes articles in a different style each time, with a different structure and a different tone. They want a bot that can write articles in a consistent style, with a consistent structure and a consistent tone that aligns with their brand. Beside fine-tuning a model, which requires a lot of data and money, and isn’t even possible if you really want to use the latest GPT model, there’s no practical way to gain full control of the output of these frameworks.
In business, management rarely allocates budget just to create something that’s cool but has no value. They want to see a return on investment. They want to see real business issues being solved and automated and cut costs. To achieve this, you need modularity, you need to be able to control the output, make sure it’s not a black box, make the output reproducible, and make it reliable. This is where Atomic Agents come in.
Since this framework is new, I'd love some feedback, suggestions, and PRs! I have been using it a TON and it's way easier than langchain, crewAI, ...
Feel free to get in touch with me on LinkedIn for business inquiries https://www.linkedin.com/in/kennyvaneetvelde/
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