Echo-Memory

by Echo-Team-Joy-Future-Academy-JD · Agent Tool · ★ 94

About Echo-Memory

🧠 Echo-Memory A Controlled Study of Memory in Action World Models Echo Team @ Joy Future Academy, JD Core question. When a generated scene must leave and later return, which kind of memory helps an action world model preserve identity, layout, and viewpoint instead of drif

agent-skillsagentic-aimemoryworld-models

Quick Facts

Stars94
Forks4
LanguagePython
CategoryAgent Tool
Quality Score62.3010680169928/100
Open Issues2
Last Updated2026-06-10
Created2026-05-02
Platformspython
Est. Tokens~5151k

Compatible Skills

These tools work well together with Echo-Memory for enhanced workflows:

  • ogham-mcp — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (56%)
  • iai-mcp — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (56%)
  • yantrikdb-mcp — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (56%)
  • mengram — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (56%)
  • roampal-core — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (56%)

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Frequently Asked Questions

What is Echo-Memory?

Echo-Memory is A Simple Baseline for Video World Models with Memory. It is categorized as a Agent Tool with 94 GitHub stars.

What programming language is Echo-Memory written in?

Echo-Memory is primarily written in Python. It covers topics such as agent-skills, agentic-ai, memory.

How do I install or use Echo-Memory?

You can find installation instructions and usage details in the Echo-Memory GitHub repository at github.com/Echo-Team-Joy-Future-Academy-JD/Echo-Memory. The project has 94 stars and 4 forks, indicating an active community.

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