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bigai-nlco/Awesome-AI-Memory

TMLR | This survey presents a comprehensive and structured synthesis of memory in LLMs and MLLMs, organizing the literature into a cohesive taxonomy comprising implicit, explicit, and agentic memory paradigms.

#Curated list
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Momentum

How fast bigai-nlco/Awesome-AI-Memory is gaining stars, and where it lands on Trendshift and GitHub Trending

Activity and trending

Stars, forks and merged pull requests each day or month, lined up with the repository's rank on Trendshift Trending

Aug 28 – Oct 26, 2026

Stars +3 in 60 days

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1

Forks +2 in 60 days

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1

Merged PRs 0 in 60 days

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Trendshift Trendingwhere the repository ranked each day it made the top 25

Not in the Trendshift top 25 in this period

Aug 28Sep 5Sep 13Sep 21Sep 29Oct 7Oct 15Oct 23
The left and right arrow keys step from day to day; Home and End go to the first and the last

Stars, forks, merged pull requests and Trendshift Trending rank, by day
DayStars gainedForks gainedMerged PRs
Fri, Aug 28, 2026+1+00
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Total+3+20
  • 1#1 on the list
  • 7Rank that day
  • Not trending

Social mentions

Recent discussions about this repository across the web
  1. May 181 post
    • Most AI agents don’t remember. They only use the current context window. Real AI systems need: • Implicit Memory • Explicit Memory • Agentic Memory Memory > bigger prompts. Read More: #AI #AgenticAI…

      Read full on X, posted by @WBJIGAR

      @WBJIGAR · x.com

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