
← Chain of Thought | AI Agents, Infrastructure & Engineering7 okt · 38 min
Switching Models Shouldn't Mean Starting Over | Walrus Protocol's Kimberly Logan
Switching Models Shouldn't Mean Starting Over | Walrus Protocol's Kimberly Logan
If your agent's memory lives inside one model provider, switching models or harnesses means starting over. You need portable memory - yet when switching agent memory between models, you can swing accuracy by thirteen points or more, depending on which model reads them back. This episode is sponsored by Walrus.