Applivery at MongoDB Local Madrid: building AI agents with real memory

Applivery’s CEO unveils the architecture for memory-driven AI agents at MongoDB .local. in Madrid. Learn how we scale AI in B2B using MongoDB, Gemini, and CBL.
MongoDBlocal 2025

The B2B market, especially in Unified Endpoint Management (UEM), is characterized by data complexity and the need for contextual responses. Most AI agents are efficient, but their key limitation is the lack of “real memory” when facing complex internal workflows, case histories, and the need to learn from experience. This deficiency becomes a bottleneck for IT and development teams that require agility and precision.

At Applivery, our core value lies in bridging the gap between IT security and development agility. To stay at the forefront, we are actively solving the challenge of equipping AI with robust and functional memory.

What to expect at MongoDB Local Madrid

MongoDB Local Madrid is MongoDB’s flagship technology event in Spain. The event is designed for leaders and architects to discover and learn about MongoDB solutions, tools, and best practices that facilitate the development of seamless data-driven applications. It is a key opportunity to see how companies are scaling modern applications with performance, security, and AI-ready capabilities.

In addition to technical content, the event offers the opportunity to meet MongoDB experts and customers firsthand, learn about new product launches, and discover how to create innovative technologies. 

Featured presentation with Applivery's CEO, César Trigo

Our CEO, César Trigo, will participate in this high-level event to share the strategy that is advancing our platform and internal data flows.

The session, titled “Building memory-driven AI agents with MongoDB, Google ADK & Gemini”, will feature Josman Pérez, Solutions Architect at MongoDB. César will unveil the architecture that allows agents to truly learn from experience:

  • Technological synergy: we will show how the combination of the MongoDB MCP Server, the Google Agent Development Kit (ADK), and the Gemini model allows our internal teams to query complex data simply using natural language.

  • Continuous learning (case-based learning): we will share our Case-Based Learning approach, which enables agents to record real cases in MongoDB and continuously improve their responsiveness, providing useful and scalable memory to the AI.

Building memory-driven AI agents with MongoDB, Google ADK & Gemini

December 10th, 2025

11:10-11:55 AM

IFEMA North Convention Center 

Gta. de Edimburgo, Barajas, 28042

Use the code SOCIAL50 to register with a 50% discount.

Applivery at MongoDB.local Madrid 2025

Applivery and MongoDB architecture

This AI implementation is based on a deep, long-term collaboration with MongoDB. Since our origins, we have relied on its architecture to:

  • Real-time device & app management: build our platform, capturing and processing unstructured data from hundreds of thousands of devices and applications in real-time.

  • Performance and adoption: utilize ecosystem tools, such as MongoDB charts, for our business dashboards and the analysis of new feature adoption.

  • Application lifecycle: share how we have built an application lifecycle through the generation of on-demand environments, orchestrating with Pulumi the creation of development and integration environments in GCP and MongoDB with every new feature.

This session is ideal for those looking to understand how to bring AI agents to production with a solid database foundation and a real memory architecture.

If you are a technological leader looking to boost your operations with an AI that learns, we personally invite you to attend to our featured presentation.

 
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