A zero-code platform for auto-generating agents without orchestration or complex drag-and-drop, featuring powerful agent running control, data processing capabilities, and MCP tool integration.
One-Minute Overview#
Nexent is a zero-code platform that lets you create any AI agent you want using just natural language descriptions. Built on the MCP ecosystem with rich tool integrations, it provides various built-in agents to meet intelligent service needs across different scenarios like work, travel, and daily life.
Core Value: Eliminate the technical barriers to AI agent creation with one-click generation of fully functional AI agents.
Quick Start#
Installation Difficulty: Medium - Requires Docker environment but provides automated deployment scripts
# Clone repository and deploy
git clone https://github.com/ModelEngine-Group/nexent.git
cd nexent/docker
cp .env.example .env # Fill only necessary configs
bash deploy.sh
Core Capabilities#
1. Smart Agent Prompt Generation#
Transform simple language descriptions into runnable agent prompts. Nexent automatically selects the right tools and plans the optimal action path.
2. Scalable Data Processing Engine#
Supports 20+ data formats with fast OCR and table structure extraction, scaling smoothly from single processes to large-batch pipelines.
3. Personal-grade Knowledge Base#
Import files in real-time with automatic summarization, allowing agents to instantly access both personal and global knowledge.
4. Internet Knowledge Search#
Connects to 5+ web search providers, enabling agents to combine fresh internet facts with private data.
5. Knowledge-level Traceability#
Provides precise citations from web and knowledge-base sources, making every fact verifiable.
6. Multimodal Understanding & Dialogue#
Supports voice, text, file, and image input. Nexent understands voice, text, and images.
7. MCP Tool Ecosystem#
Develop Python plugins following the MCP specification to swap models, tools, and chains without touching core code.