One of the biggest technical hurdles long debated in the world of AI is finally being overcome. The tech giant announced that it has eliminated memory limitations for Anthropic AI with its new multi-session SDK. This revolutionary step allows AI agents to work on long-running projects without forgetting instructions.

How does Anthropic AI memory work?

A major complaint among enterprise companies was that AI agents would forget previous instructions or conversations as their work time extended. When the context window filled, the agents struggled to remember what they were doing. To address this issue, Anthropic developed a dual framework inspired by the working principles of real software engineers.

To overcome this problem, the company’s engineers implemented two distinct mechanisms: the “Initiator Agent” and the “Encoder Agent.” The initiator agent prepares the work environment and keeps records, while the encoder agent makes incremental progress with each session. Just like a human, it keeps “artifacts” and notes for the next work session, ensuring that memory remains fresh.

Another striking detail in the blog post was the emphasis on the Opus 4.5 model. The company states that this new method allows even complex web applications like the Claude.ai clone to be built seamlessly. Previously, models would lose context halfway through the project and abandon the project. However, the new system, along with debugging tools, can manage the process end-to-end.

So, what are your thoughts on this new solution for Anthropic AI memory? Share your thoughts with us in the comments!