mem0ai/dolphinbench

DolphinBench DolphinBench measures whether an agent can use long-term memory to take the right actions on a user's behalf. It contains three synthetic users, approximately 500,000 tokens of history per user, and 600 tool-using tests across their work and personal lives. The benchmark grades the actions an agent takes through simulated apps, not just what it says it remembers. Load the dataset from datasets import load_dataset messages =… See the full description on the dataset page: https://huggingface.co/datasets/mem0ai/dolphinbench.

<iframe src="https://silytics.si/embed/item/c276d8f8-db18-45e4-a49d-4bb2edf89930" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.