🚀 Build AI Agents from a Prompt — Meet Nexent, the Open-Source Agent Platform

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Hi Devs!

We’re a small group of open-source AI enthusiasts working within a big company, trying to build something meaningful. Today, we’re super excited to share Nexent with you — a project that makes it incredibly easy to go from a natural language prompt to a working AI agent.

No drag-and-drop. No scripts. No code. Just a prompt → plan → execute.

🧠 What Is Nexent?

Nexent is a zero-code, open-source platform that automatically generates intelligent agents from natural language. These agents aren’t just fancy chatbots — they can:

  • Understand your goals
  • Plan multi-step tasks
  • Use external tools and APIs
  • Manage memory and context
  • Return results in structured formats

Nexent agents combine models, tools, and data into fully functional intelligent workflows — all triggered by a simple prompt.

🛠️ Try It in 4 Lines

Yes, it’s that simple to get started. Just clone, install, and run: 

git clone https://github.com/ModelEngine-Group/nexent.git
cd nexent/docker
cp .env.example .env # fill only nessasary configs
bash deploy.sh

And you’ll get access to:

  • A web interface for running agents
  • Built-in tools and examples
  • Support for local model plugins
  • MCP tools integration

✨ Why We Built Nexent

As developers working inside a large company, we saw a lot of exciting LLM and AI tooling — but most of it required complicated orchestration, scripts, or internal glue code.

We wanted to build something different:

  • No-code but not limited
  • Extensible via simple plugins (MCP-based)
  • Fast to prototype, but strong enough for production
  • Open-source and self-hosted, always

🔍 Example Use Case: Knowledge Assistant AI Agent (Multimodal + Source-Aware)

Nexent powers a knowledge assistant agent that goes far beyond basic Q&A. It can:

  • 🔎 Search internal docs and the web
  • 📚 Trace source citations for every response
  • 🧠 Summarize or synthesize across multiple formats
  • 🖼️ Present information in text, images, and charts
  • 🔧 Use both LLMs and custom tools to answer complex domain-specific queries

Whether it’s for research, compliance, or decision support — this agent acts as a smart, explainable layer on top of your knowledge base and APIs.

👀 Want to See It in Action?

the GitHub repo:
👉 https://github.com/ModelEngine-Group/nexent

We’re actively looking for feedback, contributors, and early adopters to help shape the direction of this project.

🙌 How You Can Help

If you find this project interesting, here’s how you can support us:

  • ⭐ Star the repo and give us a look!
  • 📣 Share it with your network or community
  • 🧩 Build a plugin or a new agent use case
  • 🐛 File an issue, bug, or feature request
  • 🎯 Suggest an integration or application idea

We’re just getting started, and we’d love to build this with you.

🎁 Oh, and a Few Extras…

We offer:

  • 🏅 Open-source contributor badges
  • 🎁 Swag/gifts for active contributors
  • 🧠 Public acknowledgments on our site and GitHub
  • 📦 Ready-to-use agent templates and demo configs

Thanks for reading — and we hope you give Nexent a try!
Feel free to comment here or reach us via GitHub or our contact in the README.

The future of intelligent automation starts with a prompt.
Let’s build it — together.

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