Insights on AI Memory Infrastructure

A unified memory layer for fast, flexible, and effortless AI workflows. Store, retrieve, and manage data with a single API—no complexity.

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Latest insights

Build smarter AI memory

Explore updates, guides, and best practices for unified memory in AI applications.

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Update
5 min read

Building a Memory Stack: What We Learned Designing Flumes

We tried vector DBs, Redis, SQL, and object stores to build agent memory and hit a wall. Here’s what we learned, and why Flumes is a new kind of memory engine for AI.

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Update
5 min read

What Do LLMs Actually Forget?

LLMs don’t remember: they just read context windows. Learn why true memory requires external systems and how Flumes bridges the gap between prompts and persistence.

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Update
5 min read

The Cost of Remembering: Token Budgets, Compression & Cold Storage for AI

Learn how token usage impacts AI system costs and how to structure memory using tiered storage, summarization, and compression to keep agents efficient.

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Update
5 min read

AI Memory Is the Missing Layer

Discover why AI needs more than vector search. Learn what the “AI memory layer” is, how it differs from traditional storage, and why Flumes is redefining how agents remember, reason, and act with continuity.

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Unified memory for AI apps

Store, recall, and manage memory with a single API. No more complex stacks or scattered tools—just fast, flexible infrastructure for your AI agents. Learn more about how it works.

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