publications

Publications

Memories.ai is built on peer-reviewed research from leading AI conferences. Our team publishes regularly and contributes to open-source projects that push the boundaries of video understanding.

Encode-Store-Retrieve: Augmenting Human Memory through Language-Encoded Egocentric Perception

X-lebench: A benchmark for extremely long egocentric video understanding

VideoMAP: Toward Scalable Mamba-based Video Autoregressive Pretraining

UGC-VideoCaptioner: An Omni UGC Video Detail Caption Model and New Benchmarks

ST-Think: How Multimodal Large Language Models Reason About 4D Worlds from Ego-Centric Videos

MARC: Memory-Augmented RL Token Compression for Efficient Video Understanding

Memories-S0: An Efficient and Accurate Framework for Security Video Understanding

Prompt-Driven Agentic Video Editing System: Autonomous Comprehension of Long-Form, Story-Driven Media

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The multimodal memory infrastructure for AI

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Media & Entertainment

Security & Safety

Robotics & Physical AI

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Made by Tonik

Publications

Encode-Store-Retrieve: Augmenting Human Memory through Language-Encoded Egocentric Perception

X-lebench: A benchmark for extremely long egocentric video understanding

VideoMAP: Toward Scalable Mamba-based Video Autoregressive Pretraining

UGC-VideoCaptioner: An Omni UGC Video Detail Caption Model and New Benchmarks

ST-Think: How Multimodal Large Language Models Reason About 4D Worlds from Ego-Centric Videos

MARC: Memory-Augmented RL Token Compression for Efficient Video Understanding

Memories-S0: An Efficient and Accurate Framework for Security Video Understanding

Prompt-Driven Agentic Video Editing System: Autonomous Comprehension of Long-Form, Story-Driven Media

Ready to buildwith visual memory?

Ready to build
with visual memory?