
🧠 State Representation Learning for Long-Term Multi-Agent Interactions
A research project exploring different memory architectures for multi-agent systems, comparing GraphDB, VectorDB, and Semantic Memory approaches in both discrete and continuous environments.
Multi-Agent SystemsState RepresentationGraphDBVectorDBSemantic MemoryCoALA Architectureτ-bench Metrics