ViLoMem
ViLoMem: Agentic Learner with Grow-and-Refine Multimodal Semantic Memory
Weihao Bo, Shan Zhang, Yanpeng Sun, Jingjing Wu, Qunyi Xie, Xiao Tan, et al. · 2025-11-26
- Management
- T2 Dynamic Memory
- Memory changes during deployment through a stable management policy.
- Representation
- Cross-represented explicit
How experience becomes memory
Each path is one memory component, traced from what is stored to how it is found again.
dual-stream semantic memory
- Represented asSpatial, temporal & cross-modal structured memoryCross-represented explicit
- Stored inGraph / relational store
- Retrieved bySimilarity search, Structure traversal
- Source evidenceSource linked & recoverable
Visual-distraction and logical-reasoning error schemas are grown and refined from successes and failures.Full paper: 2.2. Long-term Memory · PDF p. 2 · Figure 1
How memory changes (T2 operations)
Update · Prompted LLM/VLM record update
During operation, ViLoMem applies LLM-mediated memory editing to dual-stream semantic memory; the memory state changes while the governing update policy remains fixed.
Consolidation · Merging & deduplication
During operation, ViLoMem applies merging or deduplication of overlapping entries to dual-stream semantic memory; the memory state changes while the governing update policy remains fixed.
Consolidation · Experience abstraction
Task outcomes are abstracted into reusable semantic strategies and error schemas. For ViLoMem, this specifically supports abstraction of episodes into reusable experience of dual-stream semantic memory.
Revision · LLM-based conflict resolution
New evidence refines previously stored semantic knowledge. For ViLoMem, this specifically supports LLM-based resolution of conflicting records of dual-stream semantic memory.
Related systems
- AdaMMT2 · Image
- AUGUSTUST2 · Image
- CMAT2 · Image
- DeepImageSearchT2 · Image
- FinSight (Code Agent with Variable Memory)T2 · Image
- GEMST2 · Image