AI Is Finally Getting a Memory
Forgetting to look left and right.
The magic trick is over; now it's time to build the plumbing.
The Race to Fix AI's Goldfish Brain Is On
Why we're suddenly obsessed with giving our digital assistants a long-term memory.
AI assistants are brilliant goldfish. They can answer almost anything but forget the entire conversation a moment later, which is why developers are now building dedicated memory layers. CogniMemo is a prime example, offering a simple API to give any AI a persistent, long-term memory so it actually learns from and remembers your conversations.
This isn't just about convenience; it's the essential plumbing for the next wave of AI. Truly useful agents need context and history to move beyond simple Q&A and become genuine partners. But this creates a new problem: persistent memory means persistent mistakes. An AI that remembers flawed logic or incorrect facts is far more dangerous than one that starts fresh every time.
Developers building personalised apps are the immediate audience, but the impact is universal. We're about to shift from one-off magic tricks to AI relationships that evolve over time. Get ready for an AI that not only knows your name, but remembers that wild idea you had three months ago.
Your New AI Interns Have Arrived
Google just dropped two massive agentic tools, but they're aimed at very different kinds of work.
Google Workspace Studio: Your no-code AI agent builder
This lets anyone automate workflows inside Docs and Gmail with plain English, finally making good on the promise of a true digital assistant for the daily grind.
Gemini 3 Deep Think: The PhD in your pocket
This isn't for sorting your inbox; it's a deep reasoning engine for tackling complex scientific and logical problems that would stump most humans.
Building Blocks for a Weirder Web
While the AI back-end gets a new brain, the front-end is getting more creative and tactile.
EaseMaster: Your secret weapon for buttery-smooth animations
It’s a visual editor for the physics of motion, letting you design bezier curves and springs without wanting to tear your hair out.
8bitcn/ui: Proof that not every UI needs to be sterile
This library gives you a full suite of accessible, 8-bit, pixel-art components to make your next project feel gloriously retro.
Quick hits
Antigravity A1: Your own personal ghost drone
This 8K 360° drone uses clever lens stitching to make itself completely invisible in your footage, finally delivering clean aerial shots.
Index for ChatGPT: A table of contents for your brain dumps
A simple Chrome extension that adds a clickable table of contents to long chats, saving your sanity and your scroll wheel.
Documentation.AI: Curing stale documentation
An AI agent that writes and, more importantly, *updates* your product docs so they are not immediately obsolete on launch day.
My takeaway
The smartest tool is useless if it ignores human behaviour.
We're rightly excited about building powerful AI agents that can remember our history and automate complex tasks. But a recent developer confession about building fifty-plus unused automations reveals a painful truth: the problem is rarely the code. It’s the failure to design for the messy reality of how people actually work.
So before building the next killer AI workflow, look left at the trigger and look right at what a person does with the output. Are you really solving a problem, or just moving the friction around? This is the question that will separate the indispensable tools from the digital dust collectors.
What's one 'brilliant' tool you abandoned because it just didn't fit your flow?
Drop me a reply. Till next time, this is Louis, and you are reading Louis.log().