ModelEngine-Group/nexent

Nexent is a zero-code platform for auto-generating production-grade AI agents using Harness Engineering principles — unified tools, skills, memory, and orchestration with built-in constraints, feedback loops, and control planes.

What it solves

Nexent is a zero-code platform designed to simplify the creation of production-grade AI agents. It removes the need for complex orchestration or drag-and-drop interfaces, allowing users to generate executable agents using only natural language descriptions of their requirements.

How it works

Built on "Harness Engineering" principles, the platform provides a unified framework for tools, skills, memory, and orchestration. It uses a natural language interface to translate user prompts into functional agents. To maintain efficiency and context, it employs a a two-tier layered memory mechanism (user-level and user-agent-level) and a progressive skill disclosure system that dynamically loads skills into the context window.

Who it’s for

It is intended for individuals, small teams, and enterprises who want to deploy AI agents without writing code or managing complex orchestration logic, with support for both Docker and Kubernetes deployments for varying scales of infrastructure.

Highlights

  • Zero-Code Generation: Create agents instantly from a single prompt.
  • A2A Collaboration: An Agent-to-Agent protocol for multi-agent cooperation and distributed workflows.
  • MCP Tool Ecosystem: A plug-and-play extension system supporting custom and third-party Model Context Protocol (MCP) services.
  • Personal Knowledge Base: Intelligent retrieval and real-time import for over 20 document formats with precise citations.
  • Multimodal Interaction: Supports voice, text, images, and files.
  • Multi-Tenancy & RBAC: Enterprise-grade resource management with role-based access control and multi-tenant isolation.

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