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.
⭐ Before you get started, please star us on GitHub — your support drives us forward!
No installation required — jump right in with our online demo environment to experience Nexent's capabilities instantly.
If you need to run Nexent locally or in your private infrastructure, we offer two deployment options:
| 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.
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
cp .env.example .env
bash deploy.shFor detailed deployment instructions, see Docker Installation.
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-helm.sh applyFor detailed deployment instructions, see Kubernetes Installation.
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 |
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.
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
Nexent is licensed under the MIT License.