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snap-stanford/memorilla

Position in GitHub’s trending lists for this Python project, facts from the GitHub API and the README, and the star history this site has recorded since it was first seen.

Collected

🦍 Memorilla: Latent Semantic Memory for LLMs

First paragraph of the README

Memorilla: Latent Semantic Memory for LLMs

#LLM#context-compression#continual-learning#llm#long-context#memory#personalization#reinforcement-learning#retrieval-augmented-generation

Where it is trending

ListPositionStars gained
python, today#15+62 today

Star history recorded by this site

One reading per day since Nov 10, 2026, the first day this repository was seen in a trending list. A chart is drawn once three days have been recorded.

  1. 772

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Trending on githubtrending.today: #15 python
[![Trending on githubtrending.today](https://githubtrending.today/badge/snap-stanford/memorilla.svg)](https://githubtrending.today/repo/snap-stanford/memorilla)

The image is drawn when this site is built, so it shows the best position recorded up to then.

README

from the repository snap-stanford/memorilla on GitHub. Open the original README

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Positions, star totals and “stars gained” are the ones GitHub published, read at Nov 10, 2026, 06:58 UTC. The README paragraph and the install command are copied automatically and are not reviewed.

Source: github.com/trending · updated

More lists to explore

The same data cut by period, programming language and subject.

Questions and answers

More detail on the method page.

How many stars does snap-stanford/memorilla have?

772 stars and 60 forks when GitHub’s trending page was read on Nov 10, 2026, 06:58 UTC. GitHub reported 62 new stars for the period of the list it appears in.

What is snap-stanford/memorilla written in, and under which license?

GitHub classifies it as Python. Its license, as reported by the GitHub API, is Apache-2.0.