9 mind-blowing Agentic AI experiments happening right now

Imagine AI that does more than just respond to prompts by executing tasks without human guidance. That’s the power of Agentic AI, and it’s reshaping what intelligence means in tech. Tools that use Agentic AI can reason, make decisions, and act autonomously, going far beyond the capabilities of previously groundbreaking generative AI. 

We’re seeing early-stage, mind-blowing Agentic AI tools come out across many different industries. The potential benefits of Agentic AI are virtually boundless – with its autonomous capabilities, it will reduce the need for human intervention in endless use cases. So, what is the biggest news in Agentic AI? Check out our curated list of Agentic AI tools that have either just launched or are actively under development to get familiar with the hottest new Agentic AI experiments.

#1: Atera Autopilot (Launching May 20)

What it does: Atera’s Action AI Autopilot is coming to market on May 20, and it will offer users access to a fully autonomous helpdesk AI for IT teams. Our AI Copilot solution has already successfully utilized AI to make ticketing and help desk solutions easier, speeding up ticket resolution times by 10X and reducing IT team workloads by 11-13 hours per week. Autopilot will push the envelope even further by taking human agents out of typical help desk situations. 

How Autopilot uses Agentic AI: Autopilot leverages Agentic AI to autonomously triage incoming support requests, routing straightforward issues—like password resets or software updates—to self-resolution without human intervention. It also proactively scans system logs for emerging errors, generates and applies fixes in real time, and escalates complex tickets to the right technician only when necessary.

Why it matters: Atera’s Autopilot tool offers real-world applications for IT service management at scale. So many teams are overwhelmed and understaffed, struggling to deal with demanding support tickets and help desk requests. Autopilot aims to solve this problem with a scalable, user-friendly solution that will improve customer satisfaction and allow IT teams to focus their cognitive skills on more complex, rewarding issues. 

by Anthropic)

What it does: Claude Code is an Agentic AI coding tool that is currently in beta testing stages. It lives in your terminal, understands your code base, and allows you to code faster than ever through natural language commands. Unlike other tools, Claude code doesn’t require additional servers or complex setup. 

How Claude Code uses Agentic AI: Claude Code is an Agentic AI experiment in that it learns your organization’s code base as part of its training data, allowing it to improve more and more over time. You don’t have to manually add files to your context – Claude Code will explore your base as needed. 

Why it matters: Coding has been one of the most important applications of Agentic AI. As these tools grow more advanced, IT teams and developers can take a more hands-off approach with coding, allowing for more efficient and productive teams. 

by Cognition Labs)

What it does: Cognition Labs calls its AI tool Devin “the first AI software engineer.” Devin is meant to be a teammate to supplement the work of IT and software engineering teams. Devin can actively collaborate with other users to complete typical development tasks, reporting on progress in real time and accepting feedback along the way. 

How Devin uses Agentic AI: Through multi-step, goal-oriented pursuits, Devin uses Agentic AI capabilities. The program can plan out and execute complex engineering tasks that require thousands of decisions. Devin can recall relevant context at every step, learn over time, and fix mistakes, all of which require Agentic AI. 

Why it matters: Devin has already been used in many different real-life scenarios, including helping one developer maintain his open-source code base, building apps end-to-end, and addressing bugs and feature requests in open-source repositories. 

#4: Personal AI (Personal AI Inc.)

What it does: Personal AI creates AI personas, which are digital representations of job functions, people, and organizations. These personas work toward defined goals and help complete tasks that might otherwise be done by human employees. 

How Personal AI uses Agentic AI: Each AI persona has the capability to make autonomous decisions while processing data and context in real time. 

Why it matters: The AI workforce movement, which is embodied in Personal AI, allows you to expand your workforce of real-world individuals without incurring the costs of salaried employees. These AI personas can complement and enhance the work of your human team. 

#5: MultiOn (Autonomous web assistant by Please)

What it does: MultiOn is an autonomous web assistant created by AI company Please. The tool can help you complete tasks on the webs through natural language prompts – think booking airline tickets, browsing the web, and more. 

How MultiOn uses Agentic AI: MultiOn completes autonomous actions and multi-step processes following NL prompts. 

Why it matters: Parent company Please has emphasized the travel use cases for its Agentic AI bot, but there are many different scenarios where an autonomous web assistant like MultiOn can simplify everyday life. 

#6: ChatDev (Simulated company powered by AI agents)

What it does: ChatDev is a virtual software company made up of AI agents. The company is meant to be a user-friendly, customizable, extendable framework based on large language models. It also presents an ideal scenario for studying collective intelligence.

How ChatDev uses Agentic AI: The intelligent agents within ChatDev are working autonomously (both independently and collaboratively) toward a common goal: “revolutionize the digital world through programming.” 

Why it matters: ChatDev is an excellent study in the collaborative potential of Agentic AI. It also offers users the chance to create custom software using natural language commands. 

#7: AgentOps (Operations platform for AI agents)

What it does: AgentOps is a developer platform made for building AI agents as well as large language model (LLM) apps. AgentOps allows companies to build out their Agentic AI workforces through custom agents and then understand their activities and costs through a user-friendly and accessible interface. 

How AgentOps uses Agentic AI: The company specializes in building intelligent, Agentic AI agents that are capable of operating autonomously – they can make decisions, take actions, and execute multi-step processes without human intervention. 

Why it matters: AgentOps is definitely one of the Agentic AI tools to watch this year. With the growing popularity of AI workforces, building custom agents and tracking them to ensure reliability and performance is set to be a crucial consideration for many organizations. 

#8: AgentHub (Agentic AI marketplace)

What it does: With AgentHub, you can use easy, drag-and-drop tools to create custom Agentic AI bots. There are plenty of workflow templates to start from, and you don’t need extensive AI experience to build your personalized AI tools. 

How AgentHub uses Agentic AI: While not all AI bots created on AgentHub are Agentic, the bots that you can build use more and more Agentic AI as the features become more advanced. 

Why it matters: Tools like AgentHub extend the reach of AI to a wider audience, as you don’t need to be a professional developer or programmer to use and benefit from these frameworks. 

#9: Superagent (Framework for building/hosting Agentic AI agents)

What it does: Superagent is an AI tool that is focused on creating more and better AI agents that are not constrained by rigid environments. Superagent allows human and AI team members to work together to solve complex problems. 

How Superagent uses Agentic AI: Superagent is all about Agentic AI. These agents are meant to continuously learn and grow. They are not restricted by predefined knowledge and are intended to grow with your company rather than quickly becoming obsolete as AI continues to advance. 

Why it matters: The belief system of the Superagent team centers around building flexible, autonomous agents that are not caged in by fears of AI takeover. Instead, Superagent emphasizes the possiblities for humankind when we work in tandem with AI. 

Stay ahead of the game with current Agentic AI experiments

While these Agentic AI experiments are all in different stages — some are already launched and others are launching soon, what we know is that the effects of Agentic AI will affect the way that business is done across all industries.But Agentic AI isn’t only the future… It’s happening now. For IT leaders and tech teams, it’s crucial to stay curious and start experimenting with new Agentic AI developments. Wondering where to start your journey? Try Atera’s AI-powered IT management tools with a 30-day free trial today – or learn more about how businesses are using Atera to change the way that they manage their IT networks through our customer stories.