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<a href="https://xpertai.cn/en/"> <img src="docs/images/logo.png" alt="Xpert AI" style="width: 240px; height: auto;"> </a> <a href="https://app.xpertai.cn/">XpertAI Cloud</a> · <a href="https://docs.xpertai.cn/en/ai/getting-started/community">Self-hosting</a> · <a href="https://docs.xpertai.cn/en/">Documentation</a> · <a href="https://xpertai.cn/en/#connect">Enterprise inquiry</a> Open-Source AI Platform for Enterprise Data Analysis, Indicator Management and Agents Orchestration <a href="https://github.com/xpert-ai/xpert/" target="_blank"> <img src="https://visitor-badge.laobi.icu/badge?page_id=meta-d.ocap" alt="Visitors"> </a> <a href="https://www.npmjs.com/@metad/ocap-core"> <img src="https://img.shields.io/npm/v/@metad/ocap-core.svg?logo=npm&logoColor=fff&label=NPM+package&color=limegreen" alt="ocap on npm" /> </a>  <a href="https://www.gnu.org/licenses/agpl-3.0.html" target="_blank"> <img src="https://img.shields.io/badge/License-AGPL%20v3-blue.svg" alt="License: AGPL v3"> </a> <a href="https://gitpod.io/#https://github.com/xpert-ai/xpert" target="_blank"> <img src="https://img.shields.io/badge/Gitpod-Ready--to--Code-blue?logo=gitpod" alt="Gitpod Ready-to-Code"> </a>

Xpert AI is an open-source enterprise-level AI system that perfectly integrates two major platforms: agent orchestration and data analysis.

💡 What's New

🚀 3.8 Sandbox Environment!

XpertAI 3.8 releases the Agent Sandbox feature, providing an isolated execution and file operation environment for agents. One of the core capabilities of the sandbox plugin is the provider plugin mechanism. Through custom providers, you can integrate different runtime infrastructures, such as:

Docker/Podman container systems
Runloop, Modal, Daytona
Remote virtual machines or secure sandbox services

Agent-Workflow Hybrid Architecture

In today’s rapidly evolving AI landscape, enterprises face a key challenge: How to balance the creativity of LLMs with the stability of workflows? Pure agent architectures are flexible but hard to control; traditional workflows are reliable but lack adaptability. Xpert AI’s Agent-Workflow Hybrid Architecture is designed to resolve this conflict, enabling AI to have “free will” while adhering to “rule-based order.” agent-workflow-hybrid-architecture

Blog - Agent-Workflow Hybrid Architecture

Agent Orchestration Platform

By coordinating the collaboration of multiple intelligent agents, Xpert can handle complex tasks. Xpert integrates different types of AI agents through efficient management mechanisms, leveraging their capabilities to address multidimensional problems.

Xpert Agent

Data Analysis Platform

A cloud-based agile data analysis platform supporting multidimensional modeling, metrics management, and BI visualization. The platform connects to various data sources, enabling efficient and flexible data analysis and visualization, and offers multiple intelligent analysis tools to help enterprises quickly and accurately uncover business value and make operational decisions.

🚀 Quick Start

Before installing Xpert, make sure your machine meets the following minimum system requirements:

CPU >= 2 Core

RAM >= 4 GiB

Node.js (ESM and CommonJS) - 20.x, 22.x

The easiest way to start the Xpert server is through docker compose. Before running Xpert with the following commands, make sure that Docker and Docker Compose are installed on your machine:

cd xpert
cd docker
cp .env.example .env
docker compose up -d

After running, you can access the Xpert dashboard in your browser at http://localhost/onboarding and start the initialization process.

Please check our Wiki - Development to get started quickly.

💻 Demo, Downloads, Testing and Production

Demo

Xpert AI Platform Demo at https://app.xpertai.cn.

Notes:

You can generate samples data in the home dashbaord page.

Production (SaaS)

Xpert AI Platform SaaS is available at https://app.xpertai.cn.

Note: it's currently in Alpha version / in testing mode, please use it with caution!

🧱 Technology Stack and Requirements

For Production, we recommend:

🗺️ Roadmap

[ ] SDK – streamlines access api of the XpertAI platform.
- [ ] SDK (TypeScript)
  - [x] digital experts
  - [x] long-term memory storage
  - [x] contextual files
  - [x] Conversation management
  - [ ] knowledge bases
- [ ] SDK (Python)
[x] Plugins – extensible plugin system.
- [x] Plugins system
- [x] Marketplace to showcase the plugins ecosystem.
- [x] Hot-swappable plugin system.
[ ] Chatkit – front-end component library for embedding digital expert chat dialog.
- [x] ChatKit javascript version.
[x] Widgets – UI widgets that let large-model responses drive richer interface experiences.
[x] Agent Middlewares Plugin-based Agent Middleware.
[x] Agent Skills – lightweight agent skills for rapid custom capability integration, offering a quicker alternative to MCP tools.
[ ] Audit, Security, Compliance – Enterprise-grade features to ensure data privacy and compliance.
- [ ] Audit logs
- [ ] Role-based access control
- [ ] Data encryption
[x] Sandbox – Secure testing environment, isolating experiments from production.
[ ] Trace, Evaluation – Observability and evaluation tools for agents and workflows.
- [ ] Trace system
- [ ] Evaluation framework
[ ] System monitoring and alerting
- [ ] Sentry integration
- [ ] Prometheus integration

💌 Contact Us

For business inquiries: mailto:service@xpertai.cn
Xpert AI Platform @ Twitter

🛡️ License

We support the open-source community.

This software is available under the following licenses:

Please see LICENSE for more information on licenses.

💪 Thanks to our Contributors

Contributors

Please give us :star: on Github, it helps!
You are more than welcome to submit feature requests in the Xpert AI repo
Pull requests are always welcome! Please base pull requests against the develop branch and follow the contributing guide.

Xpert

Install / Use

README