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README.md

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 ---
-title: README
-emoji: 🦀
-colorFrom: red
-colorTo: green
-sdk: static
-pinned: false
+license: apache-2.0
+tags:
+- univa-agent
+- video-generation
+- generative-ai
+- agent
+- multimodal
 ---
 
-Edit this `README.md` markdown file to author your organization card.
+# 🚀 UniVA: Universal Video Agents towards Next-Generation Video Intelligence
+
+**univa-agent** is a revolutionary video agent designed to provide an unprecedented interactive experience and high-quality video generation capabilities.
+
+Our goal is not just to release a model, but to build a unified and powerful video creation platform.
+
+<p align="center">
+    <a href="https://univa.online" target="_blank">
+        <img src="https://img.shields.io/badge/🏠-Project_Page-orange.svg" alt="Project Page">
+    </a>
+    <a href="https://ngrok-univa.chrisprox599.workers.dev/" target="_blank">
+        <img src="https://huggingface.co/datasets/huggingface/badges/raw/main/open-in-hf-spaces-xl-dark.svg" alt="Open in Spaces">
+    </a>
+    <a href="https://univa.online/asserts/pdf/UniVA_ICLR2025_v5.pdf" target="_blank">
+        <img src="https://img.shields.io/badge/📄-Paper-brightgreen.svg" alt="Paper">
+    </a>
+    <a href="https://github.com/univa-agent" target="_blank">
+        <img src="https://img.shields.io/badge/💻-Code-blue.svg" alt="Code">
+    </a>
+</p>
+
+---
+
+## Core Features
+
+The design of `univa-agent` is built on two core pillars, aiming to simultaneously address both the **generation quality** and the **creative experience** of video content.
+
+### 🌟 Pillar 1: Unprecedented Interactive Experience
+
+We believe the future of video creation should be interactive and intelligent. `univa-agent` introduces:
+
+* **Unified Interaction System:** Handle multiple video tasks within a single, unified framework without needing to switch tools.
+* **Agent with Memory:** Capable of understanding multi-turn conversational context to perform complex, stateful video editing and creation.
+* **Deep Interaction Capabilities:** Supports fine-grained instructions, enabling comprehensive control from high-level concepts down to specific details.
+
+### 🎨 Pillar 2: High-Quality Generation Capabilities
+
+A powerful agent must be matched with high-quality execution. `univa-agent` ensures:
+
+* **Broad Task Support (Breadth):** Covers a wide range of functions, from text-to-video generation, video editing, and style transfer to video inpainting.
+* **High-Fidelity Video Output:** Generated video content achieves state-of-the-art results in clarity, coherence, and visual aesthetics.
+* **Powerful Function Map:** [Briefly describe 1-2 unique functional modules mentioned in your meeting, e.g., "Synergistic Components" or "Architecture Highlights"].
+
+## 🚀 Try the Demo (Invitation-Only)
+
+We provide an online Demo to quickly experience the powerful features of `univa-agent`.
+
+Please note: **Demo access is currently by [Invitation-Only]**. We are committed to providing a stable, high-quality experience for our initial users.
+
+* **➡️ [Click here to access the Demo] (https://ngrok-univa.chrisprox599.workers.dev/)**
+* **➡️ [Apply for Beta Access] (https://[Your-Google-Form-or-Registration-Link])**
+
+## 🔗 Project Ecosystem
+
+`univa-agent` is a complete open-source project, including the following resources:
+
+* **[🏠 Project Homepage]** (https://univa.online/)
+* **[📄 Paper]** (https://univa.online/asserts/pdf/UniVA_ICLR2025_v5.pdf)
+* **[💻 Code]** (https://[Your-GitHub-Repo-Link])
+* **[💾 Benchmark]** (https://huggingface.co/datasets/[Your-Org-Name]/[Your-Dataset-Name])
+* **[🏆 Leadboard]** (https://huggingface.co/datasets/[Your-Org-Name]/[Your-Dataset-Name])
+* **[💬 Community Discussions]** (https://huggingface.co/[Your-Org-Name]/[Your-Project-Name]/discussions)
+
+## 👥 Team
+
+This project is developed by the UniVA team.
+For detailed team member introductions, please visit our [Team Page](https://univa.online/#authors-section).
+
+## ✏️ How to Cite
+
+If you find our work helpful for your research, please consider citing our paper:
+
+```bibtex
+@article{univa2025,
+  title={UniVA: Universal Video Agents towards Next-Generation Video Intelligence},
+  author={[List of Authors]},
+  journal={[Journal or Conference Name]},
+  year={2025}
+}