How AI agent memory works (and what happens when it forgets the wrong way)
Modelo de linguagem não lembra de nada. Cada chamada recebe um prompt, gera uma resposta e pronto, esqueceu. Quando um agente "lembra" que o projeto usa pytest , quem lembrou foi um sistema fora do modelo, que guardou isso em algum lugar e recolocou no prompt na hora certa. Esse sistema é a memória do agente. Nesse post eu explico como ela funciona, mostro quatro políticas de memória que…
A text-based AI model lacks memory, processing each prompt and generating a response without retaining any information. To address this limitation, an external memory system is used to store and retrieve relevant information. The author explains how this memory system works and presents four different memory policies that were implemented and tested.
These policies aim to solve issues such as obsolete values, false conflicts, forgotten rare facts, and unreliable content. The policies include a naive approach, subject key with write substitution, and others that use various techniques like storing semantic, episodic, and procedural information with associated metadata.
Written by urgent.news from Dev.to's report — not a translation of it. Machine-written — may contain errors; check the original before relying on it.
