## 📣 Important Notice
__⚠️ As the paper is under review, all contents in this repository are currently not permitted for reuse by anyone until this announcement is removed. Thank you for your understanding! 🙏__
## 1. Overview & Objectives
This repository contains the complete implementation, experimental data, and supplementary results for the paper **×××** developed by **XXX University** in China, and .
Pending publication, the code is shared under a restrictive license. Once the paper is accepted, the repository will transition to a MIT license. Please contact the corresponding author for any inquiries regarding academic use during the review period.
## 2. Videos of agents operation
### 2.1 Operation of the developed prototype
↓↓↓ A demonstration of using the developed **prototype** to operate the TCG-TE LNR agents using graph-guided MCP tools
<video src="https://github.com/user-attachments/assets/62ce60a8-4f43-4ff6-a787-aa9784b2f03a" width="880"></video>
The full video could be found here
<img width="1099" height="26" alt="屏幕截图 2026-01-03 201222" src="https://github.com/user-attachments/assets/b47b3296-cc02-40ae-acaa-9896678aeb14" />
↓↓↓ A demonstration of using the developed **prototype** to integrate a new MCP server to TCG-TE LNR agents
<video src="https://github.com/user-attachments/assets/e82f1150-2a8f-474f-b5c4-1dd9c0fcb57c" width="880"></video>
The full video could be found here
<img width="1213" height="33" alt="屏幕截图 2026-01-03 201211" src="https://github.com/user-attachments/assets/4131b1e3-a234-4bb8-8ea5-b90479c8160b" />
### 2.2 Operation of agents based on NPG-TE pattern
↓↓↓ A snippet of the operation of **NPG-TE agent with discrete MCP tools driven by GPT-5**.
<video src="https://github.com/user-attachments/assets/5c7c539d-9b38-4b55-abbd-5fe7da966d7c" width="880"></video>
↓↓↓ A screenshot of Agent's response
<img width="1726" height="659" alt="image" src="https://github.com/user-attachments/assets/30e693c4-15e6-48ee-9e76-63fe79589bdf" />
The full video can be found here
<img width="1194" height="30" alt="屏幕截图 2026-01-03 201138" src="https://github.com/user-attachments/assets/6fa1f839-6f05-4dfa-97f3-2ad70f37cd24" />
↓↓↓ A snippet of the operation of **NPG-TE agents with discrete MCP tools driven by GPT-4o**.
<video src="https://github.com/user-attachments/assets/040dbadc-c25b-461a-9bba-7391168058cb" width="880"></video>
↓↓↓ A screenshot of Agent's response
<img width="2000" height="601" alt="image" src="https://github.com/user-attachments/assets/825729a2-ae28-4f37-80a6-3fadba22b58d" />
The full video can be found here
<img width="1214" height="32" alt="屏幕截图 2026-01-03 201102" src="https://github.com/user-attachments/assets/aa470a0f-8f0d-4df8-a6f1-1956ad205b6f" />
### 2.3 Operation of agents based on TCG-TE pattern
↓↓↓ A snippet of the operation of **TCG-TE agents with graph-guided MCP tools driven by Claude sonnet 3.7**.
The full video can be found here
<img width="1283" height="35" alt="屏幕截图 2026-01-03 201151" src="https://github.com/user-attachments/assets/51abdd29-b4fe-4004-af89-84a6294d7bda" />
↓↓↓ A snippet of the operation of **TCG-TE agents with graph-guided MCP tools driven by GPT-4.1**.
<video src="https://github.com/user-attachments/assets/8159ea48-1421-4158-b067-1bdcd8dd531e" width="880"></video>
↓↓↓ A screenshot of Agent's response
<img width="1728" height="531" alt="image" src="https://github.com/user-attachments/assets/4359d03f-f03d-48ce-af4c-88596f86366d" />
The full video can be found here
<img width="1202" height="30" alt="屏幕截图 2026-01-03 201201" src="https://github.com/user-attachments/assets/177bccf2-53dc-4f6a-bd61-c3348f36708b" />
## 3. Repository Structure
<img width="1426" height="804" alt="image" src="https://github.com/user-attachments/assets/b15c7e1f-a918-4400-85f0-3a4e67cf1943" />
## 4. Acknowledgments
This work heavily relies on excellent open-source projects, including but not limited to:
- LangGraph & LangChain
- Hugging Face MTEB leaderboard
- NetworkX, PyTorch Geometric, and numerous LLM providers (OpenAI, Anthropic, Qwen, Llama, etc.)
We are deeply grateful to all contributors of these foundational work.
