India's Most Futuristic AI Conference Is Back – Bigger, Sharper, Bolder
Picture a Monday. Your AI coding agent fixes a payment bug and learns three things the hard way. On Tuesday, a new session starts for a similar bug. The agent has no idea about Monday. It reads an old runbook and makes the same mistake again.
A bigger context window does not fix this. The problem is not how much text the agent can read. The problem is that the lesson is stuck in one chat. TencentDB Agent Memory is an open-source project that tries to turn such lessons into memory that other agents can reuse, in a controlled way.
In this article I explain how it works, and then I run a small, real experiment. On Monday a team closes an incident and talks about it. On Tuesday a brand-new chat asks the same question twice: once without the memory and once with it. You will see the one short script, the real output, and also two quick checks.
Source: Analytics Vidhya — Read the full article on the original site ↗