README.md

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title: Diogenes
emoji: 🧠
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short_description: AI research lab of HakkoAI — companions & world models
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  <img src="https://huggingface.co/spaces/DiogenesLab/README/resolve/main/banner.png" alt="Diogenes — the AI research lab of HakkoAI" width="100%">
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<p align="center">
  <b>The AI research lab of HakkoAI</b> · emotionally intelligent companions today · world models &amp; embodied agents next
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  <a href="https://hakko.ai"><img src="https://img.shields.io/badge/Website-hakko.ai-ff7849?style=flat-square" alt="Website"></a>
  <img src="https://img.shields.io/badge/Platforms-iOS%20·%20Android%20·%20PC-1c2228?style=flat-square" alt="Platforms">
  <img src="https://img.shields.io/badge/Markets-Global%20·%20China-8a929c?style=flat-square" alt="Markets">
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## Who we are

**Diogenes** is the research arm of **HakkoAI PTE LTD** — the team behind **HakkoAI** (global) and **逗逗 / Doudou** (China): one product, two brands. We build an AI character-companion app where people create characters and connect with them through text, voice and play, across **iOS, Android and PC**.

Our bet: the richest signal for the next generation of interactive AI doesn't live in static corpora — it lives in real, multi-turn, multimodal moments between people and the characters they care about. **Building companions is how we learn what interactive intelligence actually requires** — and Diogenes exists to turn those lessons into research.

## Two pillars

🫂 **Product — companions people actually talk to.**
HakkoAI / 逗逗 puts an expressive, real-time AI companion in the pocket of users worldwide. Sustaining a believable presence — low latency, memory, emotion, multimodality — is a hard research problem in production, every day.

🧠 **Research — from interaction to world models.**
We study how interactive, emotional, multimodal experience can be modeled, predicted and *acted in* — moving from companions on a screen toward agents that understand and operate in worlds.

## Research interests

- **World models** — predictive models of interactive worlds (characters, scenes, dynamics) that can be rolled out and acted in, not merely described.
- **Embodied agents** — connecting world models to action, from in-app agents toward, eventually, physical embodiment.
- **Learning from human–AI interaction** — grounded, emotionally aware behaviour learned from how people and AI build rapport over time.
- **Latent action representations** — inferring "what just happened" between observations, so interaction without explicit action labels becomes usable for control.
- **Multimodal, real-time companionship** — speech, vision and text working together at conversational latency.
- **Efficient & on-device inference** — making all of the above run affordably at companion scale, on phones and PCs.

> We draw inspiration from work such as **WHAM** (game-play → world model) and **V-JEPA 2** (video → world model → robot control), and we're exploring how companion-scale interaction can push these directions further.

## Research & releases

📄 **[world-model-research](https://huggingface.co/DiogenesLab/world-model-research)** — our first public bundle: a survey of world-model & embodied-AI methods, latent-action notes, and a training / robotics-transfer plan. The starting point for everything above.

More model cards, datasets, demos and Spaces will follow. **Follow Diogenes** to track what we publish.

## Connect

🌐 [hakko.ai](https://hakko.ai)  ·  📱 HakkoAI (Global) / 逗逗 (China) — iOS · Android · PC  ·  🤝 We're hiring — reach us through [hakko.ai](https://hakko.ai)

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## 中文

**Diogenes** 是 **HakkoAI PTE LTD** 的 AI 研究实验室 —— 我们打造 **HakkoAI**（海外）与 **逗逗 / Doudou**（中国）：同一套产品、两个品牌的 AI 角色陪伴 App。用户在 **iOS、Android 和 PC** 上创建角色，并通过文字、语音与互动玩法与之建立连接。

我们相信：下一代交互式 AI 最宝贵的信号，不在静态语料里，而在人与所珍视的角色之间真实、多轮、多模态的互动之中。**做陪伴产品，本身就是在学习"交互式智能到底需要什么"** —— Diogenes 的使命，就是把这些经验转化为研究。

**两个支柱**

- 🫂 **产品 —— 真正被用户每天倾诉的陪伴。** HakkoAI / 逗逗 把一个富有表现力、实时的 AI 伙伴装进全球用户的口袋。低延迟、记忆、情感、多模态 —— 维系"可信的陪伴感"，是每天都在生产环境里被打磨的硬核研究问题。
- 🧠 **研究 —— 从交互到世界模型。** 我们研究如何对交互式、情感化、多模态的体验进行建模、预测，并在其中"采取行动" —— 让 AI 从屏幕里的陪伴，走向能理解并操作世界的智能体。

**研究方向**

- **世界模型** —— 可被推演、可被"行动"的交互世界预测模型（角色 / 场景 / 动态），而不只是被描述。
- **具身智能体** —— 把世界模型连接到行动，从应用内智能体，走向最终的物理具身。
- **从人机交互中学习** —— 从人与 AI 如何建立长期默契中，学到有据可循、有情感意识的行为。
- **潜在动作表征** —— 推断观测之间"刚刚发生了什么"，让没有显式动作标注的交互数据也能用于控制。
- **多模态实时陪伴** —— 语音、视觉与文本，在对话级延迟下协同工作。
- **高效 / 端侧推理** —— 让以上一切，在手机与 PC 上以陪伴级规模经济地跑起来。

> 我们从 **WHAM**（游戏数据 → 世界模型）与 **V-JEPA 2**（视频 → 世界模型 → 机器人控制）等工作中汲取灵感，并探索"陪伴级交互数据"能把这些方向推进多远。

**研究与发布**　📄 **[world-model-research](https://huggingface.co/DiogenesLab/world-model-research)** —— 我们的首个公开 bundle：世界模型与具身智能方法综述、潜在动作笔记、训练 / 机器人迁移规划，是以上一切的起点。更多模型卡、数据集、Demo 与 Spaces 陆续上线。**关注 Diogenes**，第一时间看到我们的发布。

🌐 [hakko.ai](https://hakko.ai)　·　📱 HakkoAI（海外）/ 逗逗（中国）—— iOS · Android · PC　·　🤝 我们在招人 —— 通过 [hakko.ai](https://hakko.ai) 联系我们