Nexent is a zero-code platform for auto-generating production-grade AI agents, built on Harness Engineering principles. It provides unified tools, skills, memory, and orchestration with built-in constraints, feedback loops, and control planes — no orchestration, no complex drag-and-drop required, using pure language to develop any agent you want.

One prompt. Endless reach.

🚀 Get Started Now

⭐ Before you get started, please star us on GitHub — your support drives us forward!

Option 1: Try Our Official Demo

No installation required — jump right in with our online demo environment to experience Nexent's capabilities instantly.

Option 2: Deploy on Your Own

If you need to run Nexent locally or in your private infrastructure, we offer two deployment options:

System Requirements

Resource	Docker	Kubernetes
CPU	4 cores (min) / 8 cores (rec.)	4 cores (min) / 8 cores (rec.)
Memory	8 GiB (min) / 16 GiB (rec.)	16 GiB (min) / 64 GiB (rec.)
Disk	40 GiB (min) / 100 GiB (rec.)	100 GiB (min) / 200 GiB (rec.)
Architecture	x86_64 / ARM64	x86_64 / ARM64
Software	Docker 24+, Docker Compose v2+	Kubernetes 1.24+, Helm 3+

Note: Recommended configurations ensure optimal performance in production environments.

Docker Deployment (Recommended for Individuals/Small Teams)

Quick and straightforward for most users. Prerequisites: Docker 24+ and Docker Compose v2+:

git clone https://github.com/ModelEngine-Group/nexent.git
cd nexent/docker
bash deploy.sh

The Docker and Kubernetes deploy scripts share the same deployment configuration model. Interactive runs show Bash TUI menus for component selection, port policy, and image source. infrastructure is required; application is selected by default but can be disabled. Use b/Backspace to return to the previous TUI step and q to quit. Non-interactive runs can pass the same choices with --components, --port-policy development|production, and --image-source general|mainland|local-latest. Successful deployments save non-sensitive choices to each deploy directory's deploy.options for reuse on the next run.

Docker uninstall is handled by bash uninstall.sh. It can preserve or delete data volumes: run it interactively, pass --delete-volumes true|false, or use bash uninstall.sh delete-all to remove containers and persistent data.

For detailed deployment instructions, see Docker Installation.

Kubernetes Deployment (For Enterprise Production)

Ideal for enterprise scenarios requiring high availability and elastic scaling. Prerequisites: Kubernetes 1.24+ and Helm 3+:

git clone https://github.com/ModelEngine-Group/nexent.git
cd nexent/k8s/helm
./deploy.sh

Kubernetes uninstall is handled by bash uninstall.sh. It removes the Helm release first, then can optionally delete the namespace and local hostPath data. Use --delete-namespace true|false, --delete-local-data true|false, or bash uninstall.sh delete-all; pass --keep-local-data with delete-all to preserve local volume contents.

For detailed deployment instructions, see Kubernetes Installation.

✨ Core Features

Nexent provides a comprehensive feature set for building powerful AI agents:

Feature	Description
⚙️ Multi-Model Integration	OpenAI-compatible with any provider, full LLM/Embedding/VLM/STT/TTS coverage, supports domestic model switching
🤖 Zero-Code Agent Generation	Describe requirements in natural language, generate executable agents instantly, what you think is what you get
🤝 A2A Agent Collaboration	Agent-to-Agent protocol enables seamless multi-agent cooperation and distributed workflows
🧠 Layered Memory Mechanism	Two-tier memory (user-level + user-agent-level) for persistent context across conversations
📝 Progressive Skill Disclosure	Dynamically loads Skill into context, maximizing context window efficiency
🗄️ Personal-Grade Knowledge Base	Real-time import and intelligent retrieval for 20+ document formats, auto summaries, fine-grained access control
🔧 MCP Tool Ecosystem	Plug-and-play extension system with custom development and third-party MCP service support
🌐 Internet Knowledge Integration	Multi-source search blending real-time information with private data
🔍 Knowledge-Level Traceability	Precise citations and source verification, full transparency for every fact
🎭 Multimodal Interaction	Voice, text, images, files — comprehensive natural dialogue
🔢 Agent Version Management	Version iteration and history rollback, safe and controllable
🏪 Agent Marketplace	Official and community curated agents, one-click install and use
👥 Multi-Tenancy & RBAC	Multi-tenant isolation, role-based access control, fine-grained resource management

🤝 Join Our Community

If you want to go fast, go alone; if you want to go far, go together.

We have released Nexent v2.0! A comprehensive upgrade from v1.0, featuring A2A protocol support, progressive Skill disclosure, layered memory mechanism, user management with multi-tenancy, agent version management, agent marketplace, and more.

• 🗺️ Check our Feature Map to explore current and upcoming features.
• 🔍 Try the current build and leave ideas or bugs in the Issues tab.

Rome wasn't built in a day.

If our vision speaks to you, jump in via the Contribution Guide and shape Nexent with us.

Early contributors won't go unnoticed: from special badges and swag to other tangible rewards, we're committed to thanking the pioneers who help bring Nexent to life.

Most of all, we need visibility. Star ⭐ and watch the repo, share it with friends, and help more developers discover Nexent — your click brings new hands to the project and keeps the momentum growing.

📖 What's Next

Ready to dive deeper? Here are the main documentation entry points:

• Quick Start — System requirements and deployment guide
• Core Features — Comprehensive feature documentation
• User Guide — Agent development and usage
• Developer Guide — Build from source and customization
• FAQ — Common questions and troubleshooting

📄 License

Nexent is licensed under the MIT License.