Enki – memory for AI agents that keeps ~half as much and answers as well

Enki is a new memory model for AI agents that optimizes memory usage while maintaining performance. The model is designed to keep approximately half as much memory as traditional systems, yet it provides answers that are just as effective. This innovation aims to enhance the efficiency of AI applications by reducing the memory footprint without compromising the quality of responses. For more details, you can check the project on GitHub: Enki – memory for AI agents.