# Agentic World Modeling — Research Directory
> Research directory for agentic world modeling. Use it to map foundational papers, capability frameworks, and evaluation methods for world models in agents.
## Install
Copy the content below into your project:
## Quick Use
```bash
git clone https://github.com/matrix-agent/awesome-agentic-world-modeling
cd awesome-agentic-world-modeling
rg -n "evaluation|benchmark|world model" README.md
```
## Intro
Agentic world modeling connects world models with agent behavior; this directory helps you survey key papers and evaluation approaches in the space.
**Best for:** Researchers designing world-model capabilities and evaluations for agents
**Works with:** Any OS; Markdown directory; follow source links for full papers and artifacts
**Setup time:** 5–15 minutes
### Key facts (verified)
- MIT licensed directory (GitHub API verified).
- Use it to define what you mean by “world model” (state, dynamics, memory, planning) before you benchmark.
- GitHub: 209 stars · 5 forks; pushed 2026-05-11 (GitHub API verified).
## Main
A good synthesis approach:
1) Pick 3 foundational papers and write a one-page “shared definition” doc.
2) Collect evaluation methods and decide which metrics matter for your agent (accuracy, planning depth, generalization).
3) Translate the reading into experiments: minimal baselines first, then add complexity.
### README excerpt (verbatim)
# Awesome Agentic World Modeling
[](https://awesome.re) [](https://arxiv.org/abs/2604.22748) [](https://agentic-world-modeling.xyz/) [](https://huggingface.co/papers/2604.22748) [](https://x.com/_akhaliq/status/2048805921485148284) [](https://x.com/dotey/status/2049187740084731991)
This repository accompanies the [**Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond**](https://arxiv.org/abs/2604.22748), providing a taxonomy-aligned bibliography of **400+** cited works and **100+** representative systems. Papers are grouped by taxonomy section and listed in reverse chronological order within each subsection to support literature navigation, comparison, and ongoing updates. Released under the [MIT License](LICENSE). Check out our poster [here](public/poster.png).
> [!TIP]
> 👋 Welcome to join the discussion on [](https://discord.gg/NEAkmhPxqm) or [](public/wechat-group.jpg), share your work in progress, and help us grow the agentic world modeling community together.
>
> We also welcome collaborations on distilled surveys, follow-up research, and related projects across the physical, digital, social, and scientific world modeling.
> [!NOTE]
> 📚 If you find this resource useful, please cite and [](https://github.com/matrix-agent/awesome-agentic-world-modeling) the repo:
>
> ```bibtex
> @article{chu2026agenticworldmodelingfoundations,
> title = {Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond},
### FAQ
**Q: Is world modeling only for robotics?**
A: No—directories like this span robotics, games, and general agent planning settings.
**Q: How do I choose what to read first?**
A: Start with definitions and surveys, then move to evaluation and benchmarks.
**Q: How do I keep notes useful?**
A: Record assumptions, metrics, and a short list of papers you actually validated via experiments.
## Source & Thanks
> Source: https://github.com/matrix-agent/awesome-agentic-world-modeling
> License: MIT
> GitHub stars: 209 · forks: 5
---
## 快速使用
```bash
git clone https://github.com/matrix-agent/awesome-agentic-world-modeling
cd awesome-agentic-world-modeling
rg -n "evaluation|benchmark|world model" README.md
```
## 简介
Agentic world modeling 关注 world model 与 agent 行为的结合；该目录有助于你梳理关键论文与评测方法。
**最适合：** 在设计 world-model 能力与评测体系的研究者
**适配：** 任意系统；Markdown 目录；完整内容需进入各条目源链接阅读
**配置时间：** 5–15 分钟
### 关键事实（已验证）
- 目录仓库为 MIT 许可证（GitHub API 已验证）。
- 建议先明确“world model”定义（状态/动力学/记忆/规划），再选择对应评测与数据集。
- GitHub：209 stars · 5 forks；最近更新 2026-05-11（GitHub API 验证）。
## 正文
建议用“定义 → 评测 → 实验”来沉淀：
1) 选 3 篇基础论文，写一页纸的“共同定义”文档。
2) 收集评测方法，明确对你的 agent 最重要的指标（准确率、规划深度、泛化等）。
3) 把阅读转成实验：先做最小 baseline，再逐步加复杂度。
### README 原文节选（verbatim）
# Awesome Agentic World Modeling
[](https://awesome.re) [](https://arxiv.org/abs/2604.22748) [](https://agentic-world-modeling.xyz/) [](https://huggingface.co/papers/2604.22748) [](https://x.com/_akhaliq/status/2048805921485148284) [](https://x.com/dotey/status/2049187740084731991)
This repository accompanies the [**Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond**](https://arxiv.org/abs/2604.22748), providing a taxonomy-aligned bibliography of **400+** cited works and **100+** representative systems. Papers are grouped by taxonomy section and listed in reverse chronological order within each subsection to support literature navigation, comparison, and ongoing updates. Released under the [MIT License](LICENSE). Check out our poster [here](public/poster.png).
> [!TIP]
> 👋 Welcome to join the discussion on [](https://discord.gg/NEAkmhPxqm) or [](public/wechat-group.jpg), share your work in progress, and help us grow the agentic world modeling community together.
>
> We also welcome collaborations on distilled surveys, follow-up research, and related projects across the physical, digital, social, and scientific world modeling.
> [!NOTE]
> 📚 If you find this resource useful, please cite and [](https://github.com/matrix-agent/awesome-agentic-world-modeling) the repo:
>
> ```bibtex
> @article{chu2026agenticworldmodelingfoundations,
> title = {Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond},
### FAQ
**world modeling 只适用于机器人吗？**
答：不一定：相关工作也覆盖游戏与通用 agent 规划场景。
**先读什么更好？**
答：建议先读定义/综述，再进入评测与 benchmark。
**怎么让笔记更有用？**
答：记录假设、指标与“你实际做过实验验证”的短名单。
## 来源与感谢
> Source: https://github.com/matrix-agent/awesome-agentic-world-modeling
> License: MIT
> GitHub stars: 209 · forks: 5
---
Source: https://tokrepo.com/en/workflows/agentic-world-modeling-research-directory
Author: AI Open Source