MemLens: Value-Aware Memory Management for LLM Agents
MemLens is a memory management system designed for LLM-based agents that prioritizes value awareness, treating memory entries as essential data objects. It tackles the issue of inefficient, utility-agnostic memory systems that retain redundant and less impactful records. MemLens features an interactive analytics dashboard that encompasses the entire memory lifecycle, including Shapley-style memory assessment, value-centric storage, and memory-aided responses. Additionally, a study-copilot application enables users to examine memory values, visualize hierarchical frameworks, and evaluate management approaches. The objective of this system is to enhance long-term reasoning, tailor responses, and promote knowledge reuse.
Key facts
- MemLens is a value-aware memory management system for LLM-based agents.
- It treats memory records as first-class data objects.
- Existing LLM memory systems are coarse-grained and utility-agnostic.
- MemLens includes an end-to-end interactive analytics dashboard.
- The dashboard exposes Shapley-style memory evaluation, value-aware storage, and memory-assisted response.
- A study-copilot application enables users to inspect memory values and visualize hierarchical structures.
- Users can compare various memory management strategies.
- The system targets long-horizon reasoning, personalized responses, and knowledge reuse.
Entities
Institutions
- arXiv