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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.
799 stories
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.
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