Context Windows Are Not Memory: What Automation Agents Actually Need

Description and use

<h1> Context Windows Are Not Memory: What Automation Agents Actually Need </h1> <p>If you are building AI agents for automations, you have probably run into a tempting belief: that a bigger context window is basically memory. Models now advertise windows of 200,000 tokens, a million tokens, even more. Surely that is enough to remember things. Right?</p> <p>It is not. And the confusion costs people real reliability problems in production. A context window is short-term attention. It is the model's working desk. When a session ends, the desk gets cleared. Long-term memory is the filing system th

Problem

<h1> Context Windows Are Not Memory: What Automation Agents Actually Need </h1> <p>If you are building AI agents for automations, you have probably run into a tempting belief: that a bigger context window is basically memory. Models now advertise windows of 200,000 tokens, a million tokens, even more. Surely that is enough to remember things. Right?</p> <p>It is not. And the confusion costs people real reliability problems in production. A context window is short-term attention. It is the model's working desk. When a session ends, the desk gets cleared. Long-term memory is the filing system th

Outcome

<h1> Context Windows Are Not Memory: What Automation Agents Actually Need </h1> <p>If you are building AI agents for automations, you have probably run into a tempting belief: that a bigger context window is basically memory. Models now advertise windows of 200,000 tokens, a million tokens, even more. Surely that is enough to remember things. Right?</p> <p>It is not. And the confusion costs people real reliability problems in production. A context window is short-term attention. It is the model's working desk. When a session ends, the desk gets cleared. Long-term memory is the filing system th

Evidence

Context Windows Are Not Memory: What Automation Agents Actually Need

Source