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Built on the MCP ecosystem with rich tool integration, Nexent also provides various built-in agents to meet your intelligent service needs in different scenarios such as work, travel, and daily life. Nexent offers powerful capabilities for agent running control, multi-agent collaboration, data processing and knowledge tracing, multimodal dialogue, and batch scaling.\n\n\u003e One prompt. Endless reach.\n\n### 🌐 Visit our [official website](https://nexent.tech/)\n\n![Nexent Banner](./assets/architecture_en.png)\n\nhttps://github.com/user-attachments/assets/db6b7f5a-9ee8-4327-ae6f-c5af896126b4\n\n# ⚡ Have a try first\n\n### 📋 Prerequisites  \n\n| Resource | Minimum |\n|----------|---------|\n| **CPU**  | 2 cores |\n| **RAM**  | 6 GiB   |\n| **Software** | Docker \u0026 Docker Compose installed |\n\n### 🛠️ Quick start with Docker Compose\n\n```bash\ngit clone https://github.com/ModelEngine-Group/nexent.git\ncd nexent/docker\ncp .env.example .env # fill only necessary configs\nbash deploy.sh\n```\n\nWhen the containers are running, open **http://localhost:3000** in your browser and follow the setup wizard.\n\n# 🤝 Join Our Community\n\n\u003e *If you want to go fast, go alone; if you want to go far, go together.*\n\nWe have released **Nexent v1**, and the platform is now relatively stable. However, there may still be some bugs, and we are continuously improving and adding new features. Stay tuned: we will announce **v2.0** soon!\n\n* **🗺️ Check our [Feature Map](https://github.com/orgs/ModelEngine-Group/projects/6)** to explore current and upcoming features.\n* **🔍 Try the current build** and leave ideas or bugs in the [Issues](https://github.com/ModelEngine-Group/nexent/issues) tab.\n* **🐛 Check our [Known Issues page](https://github.com/orgs/ModelEngine-Group/projects/9)** for the latest issue status and solutions.\n\n\u003e *Rome wasn't built in a day.*\n\nIf our vision speaks to you, jump in via the **[Contribution Guide](https://modelengine-group.github.io/nexent/en/contributing)** and shape Nexent with us.\n\nEarly contributors won't go unnoticed: from special badges and swag to other tangible rewards, we're committed to thanking the pioneers who help bring Nexent to life.\n\nMost of all, we need visibility. Star ⭐ and watch the repo, share it with friends, and help more developers discover Nexent — your click brings new hands to the project and keeps the momentum growing.\n\n## 💬 Community \u0026 contact\n\n- Browse the [Documentation](https://modelengine-group.github.io/nexent) for more information.  \n- Join our [Discord community](https://discord.gg/tb5H3S3wyv) to chat with other developers and get help!\n- Conntact us by Wechat, find our QR Code in our [website](https://nexent.tech/en/contact)\n\n# ✨ Key Features\n\n`1` **Smart agent prompt generation**  \n   Turn plain language into runnable prompts. Nexent automatically chooses the right tools and plans the best action path for every request.\n\n   ![Feature 1](./assets/Feature1.png)\n\n`2` **Scalable data process engine**  \n   Process 20+ data formats with fast OCR and table structure extraction, scaling smoothly from a single process to large-batch pipelines.\n\n   ![Feature 2](./assets/Feature2.png)\n\n`3` **Personal-grade knowledge base**  \n   Import files in real time, auto-summarise them, and let agents access both personal and global knowledge instantly, also knowing what it can get from each knowledge base.\n\n   ![Feature 3](./assets/Feature3.png)\n\n`4` **Internet knowledge search**  \n   Connect to 5+ web search providers so agents can mix fresh internet facts with your private data.\n\n   ![Feature 4](./assets/Feature4.png)\n\n`5` **Knowledge-level traceability**  \n   Serve answers with precise citations from web and knowledge-base sources, making every fact verifiable.\n\n   ![Feature 5](./assets/Feature5.png)\n\n`6` **Multimodal understanding \u0026 dialogue**  \n   Speak, type, files, or show images. Nexent understands voice, text, and pictures, and can even generate new images on demand.\n\n   ![Feature 6](./assets/Feature6.png)\n\n`7` **MCP tool ecosystem**  \n   Drop in or build Python plug-ins that follow the MCP spec; swap models, tools, and chains without touching core code.\n\n   ![Feature 7](./assets/Feature7.png)\n\n# 🌱 MCP Tool Ecosystem\n\nCheck our [MCP Ecosystem page](https://modelengine-group.github.io/nexent/en/mcp-ecosystem/overview.html) for detailed information about the MCP tool ecosystem, including community hubs, recommended tools, and integration guides.\n\n# 🛠️ Developer Guide\n\n### 🤖 Model Configuration \u0026 Provider Recommendations\n\nCheck our [Model Providers page](https://modelengine-group.github.io/nexent/en/getting-started/model-providers.html) for detailed model configuration guides and recommended provider information.\n\n### 🔧 Hack on Nexent\n\nWant to build from source or add new features? Check the [Contribution Guide](https://modelengine-group.github.io/nexent/en/contributing) for step-by-step instructions.\n\n### 🛠️ Build from Source\n\nPrefer to run Nexent from source code? Follow our [Developer Guide](https://modelengine-group.github.io/nexent/en/getting-started/development-guide) for detailed setup instructions and customization options.\n\n# 📄 License\n\nNexent is licensed under the [MIT](LICENSE) with additional conditions. Please read the [LICENSE](LICENSE) file for details.\n\n","funding_links":[],"categories":["智能体 Agents","A01_文本生成_文本对话","📚 Projects (1974 total)","MCP Servers \u0026 Protocol"],"sub_categories":["大语言对话模型及数据","Tools \u0026 Libraries"],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FModelEngine-Group%2Fnexent","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FModelEngine-Group%2Fnexent","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FModelEngine-Group%2Fnexent/lists"}