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AI Agents

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.

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Nexent is a self-hostable, zero-code platform that turns natural-language descriptions into runnable AI agents, bundling tools, skills, layered memory, RAG knowledge bases, MCP integration and A2A multi-agent orchestration with Docker/Kubernetes deployment.

Use Cases

Generate production AI agents from natural-language promptsBuild multi-agent A2A collaboration workflowsDocument knowledge base Q&A with citationsAdd persistent layered memory to agentsPlug in MCP tools for agent capabilitiesProgressive skill loading for agentsMultimodal voice/text/image agent chatSelf-host agent platform via Docker or KubernetesDeploy multi-tenant agent systems with RBACInstall curated agents from an agent marketplace

Built With

Language
Python
Frameworks
Next.js · React · Tailwind CSS · Docker · Kubernetes · Helm · Elasticsearch · PostgreSQL · Redis · MinIO

Tags

no-code · agent-generation · multi-agent · a2a · mcp · rag · memory · orchestration · skills · knowledge-base · multimodal · multi-tenant · agent-marketplace · self-hosted · nl2agent · llm