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Why Multi-Agent Systems Need Memory Engineering
Originally from mongodb.com
September 11, 2025 • Roasted by Dr. Cornelius "By The Book" Fitzgerald Read Original Article

Ah, yes. A new dispatch from the frontier of "innovation." One must applaud the sheer, unbridled audacity of it all. To stumble upon principles laid down half a century ago and present them with the breathless wonder of a first-year undergraduate discovering recursion... it is, in its own way, a masterpiece of intellectual amnesia.

What a truly breakthrough concept they've unearthed here: that when multiple processes need to coordinate and remember a shared state, they require... a centralized, persistent system for managing that state. My word, the genius of it! It’s as if they’ve discovered fire and are now earnestly debating the optimal shape of the "combustion stick." They call it "Memory Engineering." We, in the hallowed halls where theory is still respected, have a slightly more concise term for it: a database.

It's all here, dressed up in the gaudy costume of "agentic AI." Let us examine their "five pillars," shall we? A veritable pantheon of rediscovery.

"Multi-agent systems must gracefully handle situations where agents attempt contradictory or simultaneous updates to shared memory."

You don't say. It's almost as if they are wrestling with the challenges of concurrency control, a problem we have extensive literature on, from two-phase locking to MVCC. They seem to be grappling with the CAP theorem as if it were discovered last Tuesday in a Palo Alto coffee shop, rather than a foundational principle of distributed computing. The naivete is almost endearing.

The jargon is simply exquisite. "Computational exocortex." A magnificently overwrought term for what is, essentially, a backing data store. "Context rot." A dramatic flair for what we've long understood as performance degradation with large query scopes or inefficient indexing. And their proposed solution? Better data management, retrieval, and caching. Groundbreaking.

The hubris is the prediction at the end. An "18% ROI" and "3x decision speed" for implementing what amounts to a poorly specified, ad-hoc database. It's magnificent. They've built a wobbly lean-to out of driftwood and are predicting it will have the structural integrity of a cathedral.

This entire "discipline" of Memory Engineering appears to be the painstaking, multi-million-dollar re-implementation of a relational database management system, only with more YAML and less formal rigor. They are building a system that must guarantee consistency, isolation, and durability without, it seems, ever having encountered the foundational principles that guarantee them.

I predict this will all end, as these things invariably do, in a cataclysm of race conditions, deadlocks, and corrupted state. At that point, some bright young "Memory Engineer" will have a stunning epiphany. They will propose a new system with a declarative query language, structured schemas, and robust transactional guarantees. They will be hailed as a visionary. They may even call it something catchy, like "SQL."

Now, if you'll excuse me, I have a first-year lecture on relational algebra to prepare. It seems some remedial education is desperately in order.