Memori Labs Launches Memori Cloud for Production AI Agents

New fully hosted SQL-native memory layer reduces AI inference costs by up to 98%

Published on Mar. 2, 2026

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Memori Labs has announced the launch of Memori Cloud, a fully hosted version of its SQL-native memory infrastructure built for production AI agents. Memori Cloud enables developers and enterprises to add persistent, evolving memory to AI systems without provisioning or managing database infrastructure, transforming interactions into durable, structured knowledge and retrieving the right context in real time to dramatically reduce inference spend.

Why it matters

Most AI systems today rely on stateless LLM calls and repeated context injection, leading to token bloat, higher latency, and inconsistent user experiences. Memori Cloud addresses these challenges by providing a managed memory pipeline for AI applications, ensuring memory is fast where it needs to be and intelligent where it matters most.

The details

Memori Cloud is built SQL-native from the ground up, storing memory in structured, queryable form with transactional integrity, making it suitable for real-world enterprise workloads. The platform is LLM-agnostic, allowing teams to integrate with providers such as OpenAI, Anthropic, Gemini, Grok, and Amazon Bedrock without vendor lock-in. Memori Cloud offers flexible deployment options including fully hosted, BYODB, and on-prem or VPC configurations, enabling organizations to maintain their security posture, compliance requirements, and infrastructure preferences while deploying persistent AI systems at scale.

  • Memori Cloud is available immediately.

The players

Memori Labs

The creator of the leading SQL-native memory layer for AI applications, with an open-source repository that is one of the top-ranked memory systems on GitHub.

Adam B. Struck

CEO and Co-Founder of Memori Labs.

Michael Montero

CTO of Memori Labs.

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What they’re saying

“AI agents without memory are inherently stateless and inefficient. Memori Cloud transforms interactions into durable, structured knowledge and retrieves the right context in real time - dramatically reducing inference spend while eliminating the operational burden of managing memory infrastructure.”

— Adam B. Struck, CEO and Co-Founder of Memori Labs

“Developers want memory that feels native to their application: fast on the request path, richer in the background, and observable when something goes wrong. Memori Cloud pairs synchronous capture with asynchronous augmentation, then makes the entire memory lifecycle visible through a dashboard so teams can inspect, validate, and optimize as they scale.”

— Michael Montero, CTO of Memori Labs

What’s next

Memori Cloud is available immediately, and teams can begin building memory-native AI systems today and select the deployment model that matches their operational, compliance, and data requirements.

The takeaway

Memori Cloud provides a fully managed, SQL-native memory layer for production AI agents, enabling developers and enterprises to add persistent, evolving memory to their AI systems without the operational burden of managing database infrastructure, while dramatically reducing inference costs and improving user experiences.