Benchmark results for soul.py on the LoCoMo long-conversation memory benchmark.
Benchmarks repo: github.com/menonpg/soul-benchmarksInteractive results: menonpg.github.io/soul-benchmarks
soul.py is an open-source conversational memory layer for LLM agents. It provides multiple retrieval backends (BM25, Qdrant vector search, Relational Learning Model) and an auto-router that selects the best strategy per query.… See the full description on the dataset page:
https://huggingface.co/datasets/pgmenon/soul-benchmarks-locomo.
