Hey everyone, Alex here from agntai.net. It’s Friday, March 21st, 2026, and I’ve been wrestling with a particular problem in AI agent development lately that I think many of you might be encountering too. We’ve all seen the incredible demos of agents that can browse the web, write code, and even manage complex projects. But
After testing Weaviate for 14 months at enterprise scale: the advertised prices are just the starting point of your bill, buckle up.
I’ve been running Weaviate as part of a production vector search infrastructure since early 2025, dealing with millions of entries and complex query demands. During that time, I’ve seen firsthand where the advertised
Weaviate Add Memory to Your Agent: A 2500-Word No-Nonsense Tutorial
If you want your intelligent agent to actually remember the context between conversations, you need to weaviate add memory to your agent the right way, using vector search to store and recall previous interactions. We’re not just tossing snippets into some database; we’re building an
A Rant on Deployment Nightmares
Alright, let’s cut to the chase. You know what really grinds my gears when it comes to machine learning? People think deploying a model is just like clicking “Start” and poof, magic happens. Spoiler alert: it doesn’t. I’ve lost count of the times when a model, which performed impeccably well
Hey there, AgntAI.net readers! Alex Petrov here, and today I want to talk about something that’s been rattling around my brain for a while now: the surprisingly subtle but critical shift in how we think about agent memory. Forget your fancy new model architectures for a minute; I’m talking about the mundane, often overlooked details
OpenAI API vs Claude API: Which One for Side Projects?
The OpenAI API and Claude API are significant players in the developer space, especially when it comes to building AI applications. In March 2023, OpenAI’s model boasted integration into over 100 products, while Anthropic’s Claude API stepped firmly into the spotlight with its own set
Railway vs Render: Which One for Side Projects
Railway has 15,432 GitHub stars while Render sits at 8,765. But honestly, the number of stars really doesn’t tell the whole story when it comes to picking the right tool for your side projects.
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