Give Your Agent a Brain: ADK, MCP, & Persistent Memory
Stateless chat is dead. Join this code lab to build intelligent, personalized systems using Google ADK, external tools via MCP, and persistent memory.
We are moving past basic wrappers and focusing on developer intelligence. Join us for an exclusive, hands-on engineering sprint where we will break down the architecture of production-grade AI systems. You will learn how to build a robust intelligence layer using Google’s Agent Development Kit (ADK), seamlessly connect it to external databases using the Model Context Protocol (MCP), and give it long-term memory.
If you are ready to build systems that actually execute complex tasks and remember who you are, this is where you need to be.
What We Are Building
During this intensive lab, we will build a stateful, customized agent from scratch. You will learn how to:
Master Google ADK: Set up the core intelligence layer using
LlmAgentand the Gemini API to drive dynamic reasoning.Integrate MCP Servers: Use the open-source Model Context Protocol to standardize how your system connects to external APIs, databases, and filesystems without writing brittle, custom code.
Implement Persistent Memory: Move beyond the standard context window. We will explore lightweight memory structures (like SimpleMem or Mem0) and vector search capabilities (like Qdrant) so your system can recall past interactions, store preferences, and maintain deep context across multiple days.
Execute the Handshake: Watch your architecture dynamically discover and load external capabilities through the MCP client-server model.
Who Should Attend?
This is a technical, code-first environment designed for builders:
Software Engineers and Full-Stack Developers
AI Researchers and ML Practitioners
Founders building AI-native products and developer tools
Prerequisites (What to bring)
To code along with the room, please ensure you have:
A laptop and charger.
Your preferred IDE (VS Code, Cursor, etc.).
Basic proficiency in Python or TypeScript.
An active Google AI Studio account for API keys.
Familiarity with standard APIs and basic asynchronous programming concepts is highly recommended.
Event Schedule
11:00 AM: Doors Open, Coffee, & Environment Setup
11:30 AM: The Architecture: ADK Fundamentals & The Intelligence Layer
12:30 PM: Lunch Break 🥪
1:00 PM: Code Lab 1: Implementing Persistent Memory & Vector Storage
2:15 PM: Code Lab 2: Connecting the Real World via MCP Servers
3:15 PM: Live Demos: Testing Your Stateful Architecture
3:45 PM: Q&A & Wrap-up
4:00 PM: Event Concludes
Hosted By
AIHouse is the community layer powering this ecosystem. Built for founders, researchers, engineers, students, and AI enthusiasts, AI House creates a space where people consistently learn, share, collaborate, and grow together. Through initiatives like 100 Days of AI House, community gatherings, founder conversations, knowledge-sharing sessions, and industry collaborations, AI House has built a thriving network of 15,000+ community members who are actively shaping the future of AI. More than a community, AI House is where meaningful relationships, opportunities, and ideas are created every day.
NxtWave, recognised as a WEF Tech Pioneer, is one of India's largest AI-native tech-skilling platforms.
Through AI-first education, nationwide developer communities, hackathons, and ecosystem partnerships, we've empowered over 3,50,000 builders annually across 28 states, to innovate with the technologies shaping tomorrow.
Together, we are building one of the fastest-growing AI ecosystems where ideas turn into products, builders become founders, and collaborations turn into impact.
Community Partners:
Big shoutout to the communities backing this one:
React Hyderabad, Build Club Hyderabad, The Orbit, Codequesters, Innovators Club Sphere