List of the Top 12 AI Agents for Datadog in 2026

Zapier is a powerful AI and automation platform built to help teams orchestrate workflows across their entire tech stack. It connects more than 8,000 apps, enabling seamless automation between tools, data, and AI systems. Zapier allows users to create advanced multi-step workflows enhanced with AI decision-making. Teams can build custom AI agents that handle tasks like lead qualification, IT support, and customer responses. AI chatbots and AI-assisted workflow builders make automation accessible to non-technical users. Zapier centralizes data using tables and forms to power intelligent automations. The platform provides enterprise-grade security with SOC 2 and SOC 3 compliance. Full observability ensures teams can monitor, audit, and optimize every automation. Zapier supports role-based access controls and single sign-on for enterprise governance. It scales from personal productivity to company-wide automation programs. Zapier helps organizations move faster without sacrificing control or security. It enables real-world AI adoption that delivers measurable ROI.

Superblocks is a platform that allows organizations to build, deploy, and govern AI-powered enterprise applications using their internal data. It empowers business teams to generate applications quickly while ensuring IT retains full control over security and compliance. The platform integrates with leading data platforms such as Snowflake, Databricks, AWS, Azure, and Google Cloud. Superblocks acts as an integration layer, preventing direct access to business systems and enforcing authentication and access controls. It provides centralized governance, including audit logs, permission tracking, and policy enforcement. The platform includes monitoring tools that give real-time visibility into app usage and potential security risks. Superblocks also supports policy-driven development, ensuring every app follows organizational standards for security and design. It offers flexible deployment options, including fully managed cloud, hybrid setups, and private cloud environments. The platform is designed to replace legacy internal tools and streamline enterprise workflows. It enables faster development of internal applications without requiring extensive engineering resources. Superblocks helps organizations scale AI adoption while maintaining strict governance and compliance. Overall, it is a powerful solution for building secure, AI-driven enterprise applications at scale.

Fleece AI is an innovative workspace that promotes collaboration by enabling seamless workflow automation without the necessity of any programming expertise. Utilizing autonomous AI agents, it enhances task efficiency by connecting more than 3,000 applications. Users can articulate tasks in simple language, allowing these AI agents to integrate various applications, construct workflow diagrams, and execute comprehensive automation from beginning to end. Additionally, users can form hierarchical teams of agents that mirror real-world organizational structures; for instance, a lead agent can assign responsibilities to specialized sub-agents, compile their results, and deliver final outputs without direct oversight. This versatile tool finds applications in areas such as email management, customer relationship management updates, report generation, invoice processing, and data synchronization among multiple applications. Ultimately, Fleece AI simplifies the intricacies of automation, transforming them into an effective process that boosts productivity across a wide range of tasks, thereby empowering users to focus on more strategic initiatives.

Doctor Droid is a groundbreaking platform powered by AI, designed to revolutionize the way engineering teams monitor and address technical issues. It simplifies complex investigations by following established protocols, analyzing data from multiple integrations, identifying root causes, and utilizing standardized runbooks for automated recovery processes. By continuously monitoring alerts, the platform provides teams with essential insights and data, significantly reducing on-call time by up to 80% and allowing engineers to respond swiftly to incidents. Moreover, it improves the onboarding process for new engineers by automating document searches, introducing them to new tools, and helping them comprehend data, which empowers them to take on primary on-call duties from their very first day. In addition, Doctor Droid can perform ad-hoc investigations, such as examining Kubernetes clusters or evaluating recent deployments, while also adjusting to develop new strategies based on user feedback and existing documentation. The platform integrates seamlessly with over 40 different tools across the technology stack, which greatly enhances both its functionality and adaptability. Ultimately, this innovative solution enables engineering teams to work more efficiently and effectively in an ever-changing technological landscape, fostering a culture of proactive problem-solving and continuous improvement.

An intelligent AI solution that understands data from ticketing platforms, customer relationship management systems, knowledge bases, and release documents can greatly assist support teams in speeding up the resolution of tickets. By automating the distribution of tickets to the relevant teams based on their content, this system shifts the focus from reactive to proactive support, enabling the early identification of potential issues. Furthermore, it can categorize tickets into common themes and trends, which helps enhance knowledge bases and reduce the total volume of tickets received. BREVIAN AI agents prioritize security and safety, thus negating the necessity for numerous product integrations to ensure enterprise-level readiness. They implement consistent controls that operate independently of your data and models, which facilitates more efficient operations. Additionally, business teams can combine different agents to create a cohesive network that integrates their enterprise data effectively. The system also excels at extracting knowledge from both structured and unstructured data forms, including images, leading to a thorough understanding of the available information. By leveraging this comprehensive approach, organizations can realize a significant boost in the efficiency and effectiveness of their customer support operations. Ultimately, this transformation not only streamlines processes but also enhances the overall customer experience.

Refold.ai is an advanced AI-powered integration platform designed to tackle the complex challenges of connecting modern enterprise systems and legacy applications like SAP, Oracle Fusion, and Workday Finance. Its AI agents function as tireless digital workers that automate the entire integration lifecycle — from scope definition and workflow creation to intelligent data mapping and automated test case generation. The platform uses an evolving memory graph to predict and resolve API version conflicts, detect brittle endpoints, and auto-fix workflows in real time, enabling scalable and resilient integrations. Refold offers instant support for over 100 enterprise applications through a curated marketplace and provides smooth authentication, XML/ETL pipeline management, and detailed observability with audit logs. Deployment options include cloud, self-hosted, and air-gapped on-premises setups, supporting AWS, GCP, and Azure environments. Refold empowers solution engineers to build demos quickly, professional services teams to deliver integrations efficiently, product teams to embed integrations as core features, and AI teams to develop memory-driven internal agents. The platform is trusted by global clients for accelerating sales cycles and slashing integration costs by more than half. It boasts enterprise-grade security certifications such as SOC 2 Type II, ISO 27001, GDPR, and HIPAA compliance. Refold’s combination of AI-driven automation, real-time adaptation, and comprehensive integration infrastructure makes it a vital tool for modern enterprises. Overall, Refold.ai turns integration bottlenecks into seamless workflows, enabling faster innovation and superior customer experiences.

Token Security introduces a groundbreaking strategy designed specifically for the rapidly growing domain of Non-Human Identities (NHI), advocating for a machine-centric method to identity protection. In this digital age, identities are everywhere and frequently remain unmonitored; they emerge from machines, applications, services, and workloads that are created by diverse sources throughout each day. The complex and sluggish process of overseeing these identities has expanded the attack surface, making it challenging for organizations to manage effectively. Instead of focusing exclusively on human identities, Token emphasizes the significance of the resources being accessed, promptly illuminating who interacts with which resources, pinpointing vulnerabilities, and ensuring robust security without hampering operations. Additionally, Token proficiently maps all identities within cloud ecosystems, seamlessly incorporating complex elements such as Kubernetes, databases, servers, and containers, which leads to a unified view of critical identity data. This all-encompassing methodology not only bolsters security but also streamlines identity management amidst increasingly intricate infrastructures, ultimately fostering a more resilient digital environment. As organizations increasingly rely on automation and interconnected systems, the need for such innovative identity solutions becomes even more crucial, showcasing Token's relevance in today's technological landscape.

Kubiya represents a cutting-edge internal developer platform that harnesses the power of AI and conversational technology to refine DevOps processes. It enables developers to interact with their systems using natural language, which significantly reduces the time needed for automation and enhances overall productivity by connecting seamlessly with existing tools and platforms. The platform comes equipped with AI-driven assistants that can handle routine tasks such as managing Jira queues, provisioning infrastructure, and granting just-in-time cloud permissions, allowing engineering teams to focus on more strategic initiatives. With an agentic-native architecture, Kubiya ensures dependable and secure operations, maintaining strict adherence to enterprise security standards and compliance with corporate policies. Furthermore, it integrates smoothly with communication platforms like Slack and Microsoft Teams, providing a user-friendly conversational interface for task management and automation. Consequently, Kubiya not only boosts efficiency but also cultivates a more collaborative atmosphere for development teams, encouraging innovation and teamwork at every level. Overall, this transformative platform represents a significant advancement in how developers interact with their environments.

100X is a cutting-edge platform driven by artificial intelligence, specifically engineered to adeptly troubleshoot complex software systems by autonomously analyzing tickets, alerts, logs, metrics, traces, code, and knowledge to detect and rectify issues. The platform employs a multi-phase methodology that entails creating a comprehensive knowledge graph by integrating with your environment, meticulously examining each alert or support ticket, dynamically querying telemetry data, and correlating signals from different systems to pinpoint distinct problems supported by clear evidence. Additionally, it offers reliable solution recommendations that come with relevant context and continuously evolves by learning from every resolution, documenting commands, fixes, and failure patterns identified by your team. With its seamless compatibility with tools like Datadog, Grafana, LaunchDarkly, Jenkins, Kafka, Redis, and Salesforce, 100X can be implemented within your cloud infrastructure, ensuring that all data is accessed, processed, and stored exclusively within your cloud environment. This not only promotes a secure and efficient troubleshooting process but also ensures adaptability to the ever-changing challenges faced in software management, ultimately enhancing the overall operational efficiency of your team.

Incredible serves as a powerful no-code automation platform leveraging sophisticated AI models to tackle practical tasks in various applications, allowing users to create AI "assistants" that can perform intricate workflows just by expressing their needs in simple English. These smart agents effortlessly integrate with a broad spectrum of productivity tools, such as CRMs, ERPs, email services, Notion, HubSpot, OneDrive, Trello, Slack, and many more, enabling them to accomplish tasks like content repurposing, CRM evaluations, contract reviews, and updates to content schedules without the necessity of coding. The platform's cutting-edge architecture supports the simultaneous execution of multiple actions while ensuring low latency, effectively handling substantial datasets and significantly reducing token limitations and inaccuracies in tasks that demand precise data management. The latest version, Incredible Small 1.0, is currently available for research preview and via API as a user-friendly alternative to other LLM endpoints, boasting outstanding data processing accuracy, nearly eradicating hallucinations, and facilitating automation at an enterprise scale. This robust framework empowers users to boost their productivity and reliability in workflows, establishing Incredible as a transformative force in the realm of no-code automation. As more users adopt this innovative solution, the potential for enhanced operational efficiency across various industries continues to grow.

7AI represents a state-of-the-art security platform aimed at optimizing and improving the entire lifecycle of security operations through the use of sophisticated AI agents that quickly analyze security alerts, draw conclusions, and take action, thereby reducing processes that once took hours down to just minutes. Unlike traditional automation solutions or AI helpers, 7AI incorporates specialized, context-sensitive agents that are meticulously designed to minimize errors and operate autonomously; these agents gather alerts from multiple security platforms, enhance and correlate data across various sources such as endpoints, cloud services, identity management, email, and network systems, ultimately producing thorough investigations complete with evidence, narrative overviews, inter-alert correlations, and audit trails. This platform delivers a holistic security solution covering everything from detection to alert triage, effectively sifting through irrelevant information and reducing false positives by as much as 95% to 99%, while also simplifying investigations through extensive data gathering and expert analysis. Moreover, it facilitates integrated incident-case management by automatically creating cases, fostering team collaboration, and ensuring seamless transitions, which collectively improve the efficiency of security operations. By adopting this innovative methodology, 7AI not only refines security workflows but also enables organizations to address threats with greater effectiveness and speed, ultimately leading to a safer operational environment. In essence, 7AI is revolutionizing how security teams function, making them more proactive and less reactive in the face of ever-evolving threats.

The AWS DevOps Agent is a comprehensive solution offered by Amazon Web Services (AWS) that acts as an autonomous, continuously functioning operations engineer responsible for detecting and mitigating problems in your infrastructure, applications, and deployment processes. This innovative tool performs in-depth analyses of your application assets and their relationships, which include infrastructure, code repositories, deployment workflows, monitoring systems, and telemetry data, to compile insights from logs, metrics, traces, deployment actions, and recent code changes. When faced with an alert, an unusual increase in errors, or a request for assistance, the DevOps Agent swiftly launches an automated analysis; it carries out incident triage around the clock, investigates root causes, and provides comprehensive remediation plans that can easily fit into team workflows, such as via Slack, ServiceNow, or PagerDuty, or even create support tickets directly with AWS. Additionally, this proactive strategy guarantees that potential problems are managed before they develop into more significant issues, thereby improving the overall reliability and performance of your systems. By utilizing the AWS DevOps Agent, teams can enhance their operational efficiency and ensure that their applications run smoothly with minimal downtime.