Agentic AI swarms are headed your way
Specialized AI agents that autonomously work together as a team might be the next big leap in AI-based automation.
Specialized AI agents that autonomously work together as a team might be the next big leap in AI-based automation.
Developers are already using multiple large language model (LLM) and other generative AI-based tools in the creation of automation tools. And soon, the tools will be able to use each other.
#technology #ai #aiagents #swarms #automation #llms #internet
A new development in AI “swarms” serves as a wake up call for everyone involved in cybersecurity, automation and, in fact, IT generally: OpenAI’s Swarm.
What is OpenAI Swarm?
OpenAI launched an experimental framework last month called Swarm. It’s a “lightweight” system for the development of agentic AI swarms, which are networks of autonomous AI agents able to work together to handle complex tasks without human intervention, according to OpenAI.
Swarm is not a product. It’s an experimental tool for coordinating or orchestrating networks of AI agents. The framework is open-source under the MIT license (which allows Python developers to use, modify, and distribute the software with minimal restrictions), and available on GitHub.
In the GitHub readme section, OpenAI says:
“Swarm is currently an experimental sample framework intended to explore ergonomic interfaces for multi-agent systems. It is not intended to be used in production, and therefore has no official support. (This also means we will not be reviewing PRs or issues!)
The primary goal of Swarm is to showcase the handoff & routines patterns explored in the Orchestrating Agents: Handoffs & Routines cookbook. It is not meant as a standalone library and is primarily for educational purposes.”
Swarm is not totally unique. Other existing systems can be used for the orchestration of multiple agents, which approaches the functioning of agentic AI swarms. Though not explicitly designed for swarming, they can be used for making AI agents interact with each other to varying degrees. These include: Microsoft AutoGen, CrewAI, LangChain, LangGraph, MetaGPT, AutoGPT, and Haystack.
While Swarm might be designed for simplicity and relative ease of use, all these other tools are more robust, reliable, supported and ready for prime-time.
OpenAI apparently launched Swarm to explore methods for improving agent collaboration through “routines” and “handoffs.” In this case, “routines” are predefined sets of instructions that guide agents through tasks or workflows. They serve as recipes for agents to follow, which adds control and predictability to multi-agent systems. “Handoffs” enable one agent to delegate a job to another based on the current context. For example, if the agent requires something specific that can be better handled by an agent specializing in that task, it can delegate it. That “handoff” provides the history of the task to the new agent, so it has context under which to proceed.
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Soon the tech companies may be empty with a lot of AI servers and few stuff monitoring the automation. We'll advance faster with this kind of tech
Just to explain for someone who is newbie. How would you explain what a agentic AI, and how does it differ from traditional AI systems?