AgentLab is a ServiceNow framework for creating AI agents—also called digital workers—using a visual, drag-and-drop editor. Users link large language models with ServiceNow tables, define intents and actions, and orchestrate workflows for tasks like incident resolution, change approvals, and knowledge retrieval. Agents can be tested in built-in sandboxes, versioned, and monitored in real time. With connectors for external APIs and chat interfaces, AgentLab enables deployment across portals, Microsoft Teams, and Slack. The platform offers governance controls, audit trails, and analytics dashboards to ensure compliance and performance at scale.

Nagato AI is an extensible AI agent framework that orchestrates autonomous workflows by combining task planning, memory management, and tool integrations. Users can define custom tools and APIs, allowing the agent to retrieve information, perform actions, and maintain conversational context over long sessions. With its plugin architecture and conversational UI, Nagato AI adapts to diverse scenarios—from research assistance and data analysis to personal productivity and automated customer interactions—while remaining fully open-source and developer-friendly.

Cimba.AI is designed to optimize project workflows by automating task assignments, providing real-time updates, and facilitating communication among team members. Its AI-driven insights help management make informed decisions, ensuring that projects stay on track and within budget.

KlerkAI is designed to enhance productivity by automating repetitive tasks such as document processing, email management, and data entry. With its advanced AI capabilities, it helps users save time and reduce errors, allowing them to focus on more strategic activities. The AI agent integrates seamlessly with existing tools and platforms to provide a hassle-free experience in managing everyday tasks, ensuring that users can maximize their efficiency.

Let’s Copilot is a gamified application integrated into Microsoft Teams that aids in the adoption of Microsoft 365 Copilot. It begins with assessing the user’s AI skill level and role within the organization to personalize the learning experience. Users engage in interactive lessons that build their AI skills and understanding of Microsoft 365 Copilot. Practical and hands-on, these lessons empower users to apply what they learn directly to their work tasks, ultimately enhancing productivity and streamlining workflows.