Show HN: Stop Claude Code from forgetting everything (github.com)

Ensue has introduced a groundbreaking feature for Claude Code, allowing the language model to retain and build upon user knowledge across conversations. Unlike traditional models that start afresh with each interaction, Ensue implements a persistent knowledge tree that continuously evolves as users engage. This innovation enables the model to remember previous insights, preferences, and decisions, creating a richer, more contextualized understanding that enhances the quality and relevance of ongoing discussions. This development is significant for the AI/ML community as it addresses a common limitation of LLMs—knowledge retention—making interactions feel more like collaborative dialogues. With the ability to connect past decisions to new inquiries, users can expect improved responses that reflect their unique thought processes. Additionally, the implementation includes options for users to control data logging and memory retention, allowing for greater customization and privacy. Overall, Ensue represents a leap towards more intelligent, personalized AI interactions that adapt over time, streamlining the learning process for developers and researchers alike.