AI systems that plan, use tools, and execute multi-step tasks autonomously — moving from chatbots to digital workers that act in the world.
This research cluster focuses on making AI agents, which are autonomous software systems that can plan and execute tasks, more secure. The sheer volume of 4105 papers in just 2026 demonstrates significant and rapid innovation in this area, moving beyond theoretical concepts to practical applications. The core problem being solved is ensuring these powerful agents, which increasingly interact with sensitive data and systems, can be trusted not to cause harm or be exploited by malicious actors.
The field is going mainstream. Benchmarks, toolkits, and replications are proliferating. Industry adoption is accelerating — the window to differentiate is narrowing.
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? What if your business could anticipate customer needs before they even knew them, powered by AI that remembers every interaction to offer perfectly timed solutions and personalized experiences?
This research trend focuses on giving AI agents the ability to remember and learn from past experiences, much like humans do. The sheer volume of 2158 papers published between 2025 and 2026 shows this isn't just a fleeting idea; it's a fundamental shift unlocking more sophisticated AI capabilities. By enabling agents to retain context, learn from interactions, and build persistent knowledge, this research is solving the critical problem of AI agents that forget, leading to more capable and personalized AI assistants.
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? What if your company's AI assistants could be hacked to secretly steal sensitive customer data or sabotage operations, and how do we build safeguards against these invisible threats before they happen
This research cluster focuses on making AI agents, which are autonomous software systems that can plan and execute tasks, more secure. The sheer volume of 4105 papers in just 2026 demonstrates significant and rapid innovation in this area, moving beyond theoretical concepts to practical applications. The core problem being solved is ensuring these powerful agents, which increasingly interact with sensitive data and systems, can be trusted not to cause harm or be exploited by malicious actors.
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? What if your entire software development team could be replaced by a single, tireless AI that writes, fixes, and improves code at a fraction of the cost?
Coding agents, AI systems that can write, test, and modify software code autonomously, represent a fundamental shift in how software is built. The sheer volume of 1157 research papers published between 2025 and 2026 signals significant and accelerating progress, not just theoretical exploration. These agents are moving beyond simple code completion to tackle complex, multi-step engineering tasks, promising to unlock unprecedented levels of software development speed and capability.
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? What if your entire workforce could seamlessly coordinate like a single, super-intelligent entity to tackle any challenge, from optimizing global supply chains to designing revolutionary new products in real-time?
This research enables multiple AI systems to work together safely and efficiently, improving complex operations like logistics and robotic control for better business outcomes.
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? What if every customer service interaction could be handled instantly and flawlessly by an AI that understands and operates your software as well as your best employee?
These AI agents learn to use computer interfaces like humans, automating tasks and improving software usability.
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? What if your entire customer service team could instantly learn to use any new software or product you release, flawlessly assisting customers without any training time or errors?
This research helps AI agents learn to use tools effectively and work together, leading to more capable and efficient automated solutions for businesses.
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? What if your entire customer service team could learn and adapt collectively in real-time, anticipating customer needs before they're even spoken?
This research explores how AI agents can work together and learn from each other, improving business applications like customer service and market analysis.
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? What if your entire supply chain or communication network could dynamically self-organize and adapt to disruptions in real-time, like a flock of birds or a school of fish, making your operations significantly more resilient and efficient than ever before
This research helps multiple independent systems learn to work together efficiently and safely to solve complex problems, improving coordination and performance in areas like logistics and communication networks.
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Based on representative paper sample per cluster · not a complete count
Share of papers per adoption stage, weighted by cluster size.