Tray.ai has released Merlin Agent Builder 2.0, a platform designed to address challenges in AI agent deployment within enterprises. The platform aims to bridge the gap between building and actual usage of AI agents, addressing issues such as lack of complete data, session memory limitations, challenges with large language model (LLM) configuration, and rigid deployment options. The updated solution includes advancements in four key areas: integration of smart data sources for rapid knowledge preparation, built-in memory for maintaining context across sessions, multi-LLM support, and streamlined omnichannel deployment. Smart data sources simplify the connection and synchronization of structured and unstructured enterprise knowledge, ensuring agents are informed with relevant and reliable information. Built-in memory capabilities reduce the need for custom solutions and enhance continuity in user exchanges, improving adoption rates. The platform supports multiple LLM providers, allowing teams to assign specific models to individual agents with tailored configurations. Unified deployment across channels allows teams to build an agent once and deploy it seamlessly across communication and application environments, eliminating the need for repeated setup and technical adjustments for different channels. Tray.ai aims to provide a unified platform that enables IT and business teams to transition from pilot projects to production-ready AI agents that are actively used by employees and customers.