adrilmanurung/momento
Momento: Evaluating Persistent Memory and Reasoning with \Multi-Session Agentic Conversations Momento is a benchmark dataset for evaluating LLM-based agents on persistent, tool-mediated task completion across multiple conversational sessions. Tasks are grounded in a restaurant service domain and require agents to recall past user preferences, resolve goals that span multiple interactions, and invoke the correct tools in the correct order, all while respecting domain policy… See the full description on the dataset page: https://huggingface.co/datasets/adrilmanurung/momento.
| Author / organization | adrilmanurung |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 137 (as reported by Hugging Face) |
| Likes | 3 |
| Created | 30 May 2026 |
| Last updated at source | 30 May 2026 |
Popularity, last 2 days
137 now (-5 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
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 Information may be incomplete or out of date.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.