Your AI Has Amnesia - And It's Not an Accident

Every AI assistant you have ever used can remember only a fraction of what you shared, much like a goldfish that forgets quickly. This lack of memory, which feels like starting from scratch in every new conversation, is a deliberate design choice. Large Language Models, the engines behind popular AI assistants like ChatGPT, Claude, and Gemini, are stateless by default. When the conversation ends, nothing is stored, much like talking to someone who has their memory wiped the moment you hang up the phone.

To work around this limitation, users often resort to pasting previous chats, re-explaining their projects, or adding a system prompt that reiterates key information before each session. However, this workaround comes with its own set of problems. Sending large amounts of context every time adds costs and slows down responses. If too much text is sent, the AI might ignore certain parts, a phenomenon known as "lost in the middle."

The real challenge lies in developing an AI system with true memory. Simply saving and reloading chat logs is akin to solving a cluttered desk by purchasing a larger one. What's needed is a dedicated memory service that remembers things correctly and consistently. The issues that arise include ensuring the order of messages matters, handling retries to prevent duplicate messages, and implementing pagination that accurately reflects the conversation history.

Engineers are grappling with these problems, striving to create AI systems that remember and understand conversations as humans do.