by Echo-Team-Joy-Future-Academy-JD · Agent Tool · ★ 94
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🧠 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
| Stars | 94 |
| Forks | 4 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 62.3010680169928/100 |
| Open Issues | 2 |
| Last Updated | 2026-06-10 |
| Created | 2026-05-02 |
| Platforms | python |
| Est. Tokens | ~5151k |
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Echo-Memory is A Simple Baseline for Video World Models with Memory. It is categorized as a Agent Tool with 94 GitHub stars.
Echo-Memory is primarily written in Python. It covers topics such as agent-skills, agentic-ai, 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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