RetentionLabs
Expanding the Memory of Artificial Intelligence
About RetentionLabs
RetentionLabs is an open-source project group focused on researching and developing AI memory solutions. Our mission is to overcome the context length limitations of Self-Attention mechanisms in large language models.
We believe that by enhancing AI systems with better memory capabilities, we can create more helpful, consistent, and personalized AI experiences.
Long-term Memory
Enabling AI to retain information across extended interactions
Weight-Based Storage
Storing memories directly in model weights rather than external databases
Open Source
Collaborative development for the advancement of AI memory research
Our Projects
RetentionEngine
ActiveA PyTorch adapter that enhances language models with memory capabilities. Unlike RAG approaches, RetentionEngine stores information directly in the adapter weights, allowing for more efficient and integrated memory retention.
Future Projects
PlannedWe're constantly exploring new approaches to AI memory. Stay tuned for more innovative projects that will push the boundaries of what's possible with artificial intelligence memory systems.
Get Involved
Interested in contributing to RetentionLabs or have questions about our projects?