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.
Nexent is a Python-based, zero-code agent-building platform that lets users describe an agent in plain language and receive a deployable, production-ready result without writing orchestration logic or configuring drag-and-drop workflows. It connects to any OpenAI-compatible LLM provider and covers the full model stack including embedding, vision (VLM), speech-to-text, and text-to-speech. Agents created in Nexent can communicate with one another through an Agent-to-Agent (A2A) protocol for distributed multi-agent workflows, and they draw on a two-tier layered memory system that persists context at both the user level and the user-agent level. A built-in knowledge base supports real-time ingestion and retrieval across more than 20 document formats with fine-grained access control and source citations. The platform integrates with the MCP tool ecosystem for plug-and-play extensions and supports multi-source internet search alongside private data retrieval. Deployment is handled via Docker Compose or Kubernetes Helm charts, making it suited to individual developers as well as enterprise teams needing high availability.
- ✓Open-source license (MIT)
- ✓Actively maintained (<30d)
- ✓Healthy fork ratio
- ✓Clear description
- ✓Topics declared
- ✓Mature repo (>1y old)
git clone https://github.com/ModelEngine-Group/nexent && cp nexent/*.md ~/.claude/agents/2 items en este repositorio
Create, refine, and optimize high-quality YAML prompts for AI assistants. Use when working with prompt templates, system prompts, agent prompts, or any prompt engineering tasks. Provides structure guidelines, template patterns, and quality standards for YAML-based prompts.
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
Resumen de Subagents
Lo que la gente pregunta sobre nexent
¿Qué es ModelEngine-Group/nexent?
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ModelEngine-Group/nexent es subagents para el ecosistema de Claude AI. 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. Tiene 5.8k estrellas en GitHub y se actualizó por última vez today.
¿Cómo se instala nexent?
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Puedes instalar nexent clonando el repositorio (https://github.com/ModelEngine-Group/nexent) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.
¿Es seguro usar ModelEngine-Group/nexent?
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Nuestro agente de seguridad ha analizado ModelEngine-Group/nexent y le ha asignado un Trust Score de 100/100 (tier: Verified). Revisa el desglose completo de comprobaciones superadas y flags en esta página.
¿Quién mantiene ModelEngine-Group/nexent?
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ModelEngine-Group/nexent es mantenido por ModelEngine-Group. La última actividad registrada en GitHub es de today, con 198 issues abiertos.
¿Hay alternativas a nexent?
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Sí. En ClaudeWave puedes explorar subagents similares en /categories/agents, ordenados por popularidad o actividad reciente.
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