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Xpert AI

calendar_todayAdded Jan 27, 2026
categoryAgent & Tooling
codeOpen Source
TypeScriptNode.jsWorkflow Automation大语言模型Multi-Agent SystemLangChainAI AgentsWeb ApplicationNest.jsAgent & ToolingAutomation, Workflow & RPAData Analytics, BI & VisualizationEnterprise Applications & Office

An open-source enterprise-level AI system that integrates agent orchestration and data analysis platforms, helping businesses balance the creativity of LLMs with the stability of workflows.

One-Minute Overview#

Xpert AI is an open-source enterprise-level AI system that seamlessly integrates agent orchestration and data analysis platforms. It addresses a key challenge in the AI landscape through its "Agent-Workflow Hybrid Architecture": balancing the creativity of LLMs with the stability of workflows, giving AI both "free will" and "rule-based order."

Core Value: Provides businesses with an AI solution that combines flexibility with controllability, enabling intelligent agents to both perform freely and execute tasks according to rules.

Quick Start#

Installation Difficulty: Medium - Requires Docker, Node.js, and PostgreSQL environment, but offers detailed Docker Compose setup

# Install with Docker Compose
cd xpert
cd docker
cp .env.example .env
docker compose up -d

Access http://localhost/onboarding to complete the initialization process.

Is this suitable for my needs?

  • ✅ Enterprise data analysis and metrics management: Supports multidimensional modeling, metrics management, and BI visualization
  • ✅ AI agent collaboration in complex business processes: Coordinates multiple intelligent agents to handle complex tasks
  • ❌ Simple personal projects: More suitable for medium-to-large scale deployments with higher resource requirements
  • ❌ Pure text processing needs: Not ideal for small applications with single functionality

Core Capabilities#

1. Agent-Workflow Hybrid Architecture#

  • Resolves the contradiction between pure agent architecture's lack of control and traditional workflow's lack of adaptability
  • Gives AI both freedom of expression and rule-based execution Actual Value: Businesses can maintain innovation while ensuring process stability in complex business scenarios

2. Intelligent Agent Orchestration Platform#

  • Coordinates multiple intelligent agents through efficient management mechanisms
  • Integrates different types of AI agents to handle multidimensional problems Actual Value: Automatically coordinates multiple professional AI agents to complete complex business tasks together

3. Enterprise-Grade Data Analysis Platform#

  • Supports multidimensional modeling, metrics management, and BI visualization
  • Connects to various data sources with intelligent analysis tools Actual Value: Helps businesses quickly and accurately discover business value and make operational decisions

Technology Stack & Integration#

Development Languages: TypeScript, Java Key Dependencies: Node.js/NestJS, Angular, TypeORM, Langchain, ECharts Integration Method: Complete platform supporting both cloud service and self-deployment modes

Ecosystem & Extensions#

  • Agent Middleware: Plugin-based middleware system supporting logging, security, and transformation functions
  • Skills System: Lightweight agent skills for rapid custom capability integration
  • Plugin System: Hot-swappable plugin architecture compatible with LangChain ecosystem

Maintenance Status#

  • Development Activity: High - New versions released with feature updates
  • Recent Updates: Version 3.7 recently released with Agent Middleware functionality
  • Community Response: Active contributor community with comprehensive documentation support

Commercial & Licensing#

License: AGPL v3

  • ✅ Commercial Use: Allowed with attribution
  • ✅ Modification: Source code modification permitted
  • ⚠️ Restrictions: Follows AGPL v3 protocol, requiring modification content to be open-sourced

Documentation & Learning Resources#

  • Documentation Quality: Comprehensive - Includes complete development Wiki, tutorials, and API documents
  • Official Documentation: https://github.com/xpert-ai/xpert/wiki
  • Example Code: Rich examples and demonstrations available

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