DialogueDB Heads to AWS re:Invent 2025

DialogueDB is going to Las Vegas.

Fresh off our launch, we are heading to AWS re:Invent from December 1-7 to meet the developers building the next generation of AI applications.

If you are attending, we want to meet you.

The Reality of Building Stateful AI on AWS

AWS gives you everything you need for AI inference. Bedrock for models. Lambda for compute. API Gateway for endpoints. It all scales beautifully.

Until you need your AI to remember what happened thirty seconds ago.

That’s when you discover the gap. Your powerful, scalable infrastructure has no built-in way to maintain conversation state. Every developer building on AWS runs into this same wall: you either lose context between sessions or you build your own persistence layer.

The result? Developers end up building custom storage solutions, implementing pagination logic, creating search functionality, and managing user data isolation. It’s weeks of infrastructure work before you can focus on what makes your application unique.

Why We Built DialogueDB

We built DialogueDB to handle that state so you don’t have to.

We provide the conversation database that sits alongside your existing AWS infrastructure. You keep your complex logic in Lambda and your models in Bedrock; we handle the persistence layer.

When you offload the conversation history and state management to DialogueDB, you stop writing boilerplate code for storage and retrieval. Instead, you get a dedicated API that handles user isolation, semantic search, and automatic summarization out of the box. It is the infrastructure you would eventually have to build yourself plus the engineering team to keep it running, just done for you and ready to use immediately. We handle the constant optimization, monitoring, and evolution that can scale with your application’s growth.

What’s Got Our Attention at re:Invent 2025

We are going to re:Invent to talk about this exact architectural shift and are focused on the discussions that address the “Day 2” problems of scaling AI engineering.

Some areas we are interested in:

1. Serverless AI Infrastructure

We are interested to see new patterns for serverless data, specifically how developers are decoupling their application logic from their conversation data to build systems that are more resilient and easier to maintain when scaling on the cloud.

2. The Rise of the MCP Standard

The Model Context Protocol (MCP) is gaining traction, and for good reason. Standardizing how models access data is critical for the interoperability of the entire ecosystem. We are watching adoption rates closely and looking for implementation patterns that show how this protocol will evolve over the next year.

3. The Economics of Context

As context windows grow larger, the core challenge shifts from capacity to cost. Filling a massive context window is expensive and increases latency. We are looking forward to discussions on how enterprise teams are balancing retrieval, summarization, and raw context to optimize for both cost and performance.

Let’s Connect in Las Vegas

The DialogueDB team will be at re:Invent all week walking the floor, attending sessions, and hitting the social events. We want to hear about what you are building.

If you see us, stop us and say hi (we’ll be the ones in the DialogueDB shirts). We’d love to meet up, grab a drink and talk AI. If you are struggling with context limits, trying to figure out the best architecture for stateful systems, or just want to discuss your next big feature, let’s brainstorm.

Start Building Now

You don’t have to wait for the conference to kick off to see what DialogueDB can do. Our free tier is open right now.

You can sign up, grab your API key, and start storing conversation history in minutes. It is free to start, easy to integrate, and solves the persistence problem so you can get back to building the features that actually matter to your users.