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I Built an Invoice Agent That Remembers Why It Said Yes Most invoice-processing agents treat every invoice as a new problem. That becomes a problem when the same vendor keeps coming back with recurring exceptions.
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I Built an Invoice Agent That Remembers Why It Said Yes Most invoice-processing agents treat every invoice as a new problem. That becomes a problem when the same vendor keeps coming back with recurring exceptions.
I built an incident-diagnosis agent that remembers every outage we've resolved. The interesting part isn't the diagnosis. It is the persistence boundary I ended up drawing, and how much of the system's value lives on one side of it.
Building Stateful AI Workflows: Moving Past Raw Logs with Long-Term Agent Memory If you've ever watched an LLM-powered assistant forget a critical workflow decision three turns after you made it, you already know the wall that stateless agent architectures hit.
In modern B2B sales cycles, account executives juggle multiple conversations with a single prospect over weeks or months. From initial discovery calls to deep-dive technical reviews, every interaction builds a complex web of specific requirements, budget constraints, security concerns, and…
Why Autonomous SRE Needs Episodic Memory: How We Built Opsight with Hindsight Every on-call engineer knows the sinking feeling of getting paged at 3:14 AM for a SEV-1 outage that feels eerily familiar, yet nobody can remember which config flag or database lock script resolved it last time.
For a long time, every invoice my agent saw was the first invoice it had ever seen from that vendor. It read the PDF, pulled out the fields, made a call, and forgot everything the moment the page reloaded.
What Should an AI Coding Agent Remember? Building Persistent Domain Memory An AI coding agent can write code today, solve a debugging problem, and understand an architecture decision — and then appear to forget all of it when the next session begins. That creates a practical problem.
Chinese researchers have developed a way to manipulate objects on solid surfaces using specially structured vibrations, allowing particles and other small objects to be confined, moved in circular paths or rotated without the complex electronic control systems normally required to generate such…
Industrial processes generate large amounts of heat that often cannot be used immediately. One reason is that the supply of heat and demand for it often occur at different times. Thermal energy storage systems can bridge this gap by absorbing surplus heat and making it available later.
University of Waterloo engineers have developed a low-cost, customizable 3D-printed filter that removes up to 90% of microplastics from water, offering an inexpensive solution for residential and industrial use. The work is published in the journal Separation and Purification Technology.
As freshwater scarcity becomes more prevalent, solar evaporation is drawing attention as a promising solution. This process uses sunlight to heat the surface of salty or contaminated water, turning it into vapor that can be collected as clean water when it condenses.
A practical study design for measuring accepted work, failed attempts and reviewer effort across a real backlog.
Learn how AI agents turn goals into executable tasks, choose planning strategies, validate results, and replan safely when reality changes.
Model routers are everywhere right now, but they have a fundamental limitation. No matter if based on advanced heuristics or a small model that reads each turn and picks which LLM to use, a router will always be less capable than the model it’s choosing for.
Kubernetes 1.34 reaches end of life on October 27, 2026. What that date and the EKS, GKE, and AKS deadlines around it actually do to your clusters, and what to check.
Providing our employees access to frontier AI capabilities is a top priority at Databricks, and consequently...
You pick up a fragile glass from the table. Without thinking about it, you feel its surface against your fingertips and continuously adjust your grip. You hold it firmly enough to keep it from slipping out of your hand, but not so tightly that it breaks.
From a usage perspective, blob-stream is a streaming system that looks a lot like Kafka:
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