Nexent
Nexent is an open-source platform and SDK designed to automatically generate multi-modal AI agents from natural language prompts without requiring manual orchestration or complex configuration. It converts plain language descriptions of desired agent behavior into functional agent workflows capable of understanding goals, planning multi-step tasks, integrating external tools and APIs, managing context and memory, and returning structured results. The platform supports multi-modal outputs including text, images, and charts, and implements the ReAct framework to enable autonomous task planning, decision-making, and execution. Built on the Model Context Protocol (MCP) ecosystem, Nexent offers scalable data processing, model integration, and knowledge management capabilities. It supports tool integration through MCP, Langchain-based, and Nexent-native tools, and provides a built-in web interface for running agents. Additionally, Nexent supports local model plugins and source citation for traceability. The platform offers OpenAI-compatible APIs alongside native SDKs, targeting developers, businesses seeking automation, enterprises with commercial needs, and teams building knowledge management systems.
Nexent is an open-source zero-code platform that generates intelligent multi-modal AI agents from natural language prompts.
Knowledge assistant agents
Building agents for research, compliance, and decision support that manage knowledge effectively.
Workflow automation
Automating multi-step tasks by integrating agents into existing business systems and APIs.
git clone https://github.com/ModelEngine-Group/nexent.git to download the source code.nexent/docker to access Docker setup files.