Have you ever wished you could turn natural language into a fully functional AI agent — without writing code, scripting logic, or dragging workflow blocks?
Nexent makes that possible.
Nexent is an open-source platform that transforms everyday instructions into intelligent workflows — powered by models, tools, and your own data.
💡 What Is Nexent?
Nexent is a zero-code, open-source AI agent engine that enables anyone — developer or not — to create and run intelligent agents using natural language prompts.
Whether you're automating workflows, integrating AI models, or connecting APIs and internal tools, Nexent lets you do it — quickly and declaratively.
Built on the Model Context Protocol (MCP), Nexent provides a unified ecosystem for:
🔌 Model orchestration
🧠 Knowledge management
🔧 Tool integration
📦 Plugin-based extensibility
🧾 Data processing and transformation
Our goal is simple:
Bring your data, models, and tools into one intelligent center — and turn language into action.
🧠 Core Capabilities at a Glance
✅ Zero-code agent creation
Define and deploy intelligent agents in minutes — just using natural language.
🧭 Prompt → Planning → Execution
Agents can interpret tasks, plan multi-step workflows, and act using APIs, tools, and memory.
🧠 Unified integration of models, tools, and data
Connect to LLMs, vector databases, internal systems, and external services with ease.
🧩 Plugin-based extensibility via MCP
Build and extend capabilities with standardized tool interfaces in Python.
🧠 Built-in memory and contextual awareness
Agents support both short-term context and long-term memory via vector stores.
🔍 Who Should Join?
Nexent is perfect for:
Developers exploring LLM agents, RAG, and real-world multimodal applications
Engineers building internal tools, automation workflows, or open-source infrastructure
Contributors who want to shape the next generation of AI-native development
🌱 Ways to Contribute
There are many ways to get involved — regardless of your background:
🧪 Try Nexent and submit issues, bug reports, or feedback
🧠 Design new agents for practical use cases (email bots, report generators, task runners)
🔌 Build new MCP-compatible tools that connect with LLMs or third-party APIs
🔍 Test memory, planning, or multi-agent coordination features
Whether you're into prompt engineering, plugin building, UI/UX, or architecture, there's a place for you here.
🛠 Try Nexent Now
🌐 Live Demo: nexent.tech
⭐ GitHub Repo: github.com/ModelEngine-Group/nexent
🤝 Join the Nexent Community
“If you want to go fast, go alone. If you want to go far, go together.”
We’re still in the early stages of open development — and we’d love your help.
Here’s how to start:
🗺️ Explore the Feature Map to see what’s live and what’s coming
📖 Read the Contribution Guide to jump in quickly
🔍 Test the latest build and open GitHub Issues to report bugs or share ideas
💡 Build new agents or tools, improve documentation, or propose feature enhancements
🎁 Early contributors will be recognized — with badges, swag, and other tangible rewards.
⭐ Most importantly: star and watch the GitHub repo.
Every click brings new contributors and keeps the momentum growing.
🧠 Build Your First Agent Today — with Nexent
Whether you're prototyping AI-native products, automating daily workflows, or experimenting with multi-agent coordination, Nexent helps you go from Prompt → Plan → Action — fast, open, and developer-friendly.
Join the journey — and help shape the future of intelligent automation.
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