Zep and HydraDB both use temporal graphs, but they ask engineering teams to build at different layers. Zep packages users, threads, extraction, and Context Blocks into a managed context platform. HydraDB exposes the graph database underneath, so your team can define its own ontology, data boundaries, and workflows.
If your main problem is cross-session conversational memory, Zep offers ...
📦 Project: https://github.com/VampiricCyborg/sluice
A self-hosted vLLM deployment runs on a GPU pool of fixed size. That's the fact that changes everything about how you have to think about load.
Once that pool's KV-cache capa...
The difficulty in verifying runtime recalibration is not the recalibration request itself.
It is the possibility that the request overlaps with everything else the link is doing.
Traffic may be idle, bursty or saturated. The link may be operating at a supported high data rate or with repaired or degraded lanes. Firmware may request recalibration while the power controller is pre...
Microsoft is changing how Fabric Data Warehouse charges for compute starting August 2026. Most teams will discover what that means on their next capacity bill. This article is a technical breakdown of the change, what the math actually looks like, and how to rethink workload design before the surprise arrives.
Why This Change Matters More Than It Sounds
When a cloud platform adj...
Here’s the most misunderstood thing about AI agents: they don’t remember anything. Your model doesn’t know your business, your products, or your customers. It reconstructs them from scratch — every single time you ask it something.
Most companies treat AI agents like a brilliant new employee: hire it, hand it the keys to the data, and it just knows everything, right?
Wrong. It’s...
Introduction
A few weeks ago, this started as just a 10-day challenge by Murf AI. Today, it's a project I'm proud enough of to put on my resume. This is Day 10 — the final day of the 10 Days of Voice Agents — VoiceForBharat Edition challenge — and it feels like a good moment to step back and share what I learned, what I built, and how voice agents actually come together piece by piece.