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Basic Information

Xpert is an open-source, enterprise-level AI platform that integrates agent orchestration and agile data analysis. The repository provides the code and configuration for a system that lets organizations run and coordinate multiple intelligent agents while also performing multidimensional modeling, indicators management and BI visualization. It includes a project-oriented module for collaborative agent work, support for uploading shared context files, modes for autonomous exploration and stepwise planning, and management of project sessions and system instructions. The README documents quick-start instructions using Docker Compose, minimal system requirements, and references to documentation and a hosted SaaS demo. The project targets enterprises that need a combined solution for orchestrating agent workflows and analyzing business data rather than a single chatbot or isolated analytics tool.

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App Details

Features
The platform centers on an Agent-Workflow Hybrid Architecture that combines LLM-driven agent flexibility with rule-based workflow stability. It provides an Agent Orchestration layer to coordinate multiple digital experts and an Xpert Project module for multi-agent collaboration with shared files, inviteable team members, and exploration and planning modes. The Data Analysis Platform offers connectors to data sources, multidimensional modeling, indicator management and BI visualizations including dashboards and story views. Technology stack elements mentioned include TypeScript, Node.js, NestJS, Nx, Angular, LangChain, TypeORM and ECharts. Deployment and dev support include Docker Compose quick start, recommended production components like PostgreSQL and PM2, and documentation and a wiki for development and configuration.
Use Cases
Xpert helps enterprises automate complex, multidimensional tasks by coordinating specialized agents and providing analytics in one platform. Organizations can compose multiple agents into projects to solve problems collaboratively, share contextual files to improve agent understanding, and choose exploration or step-by-step execution modes to balance autonomy and control. The built-in analytics and BI tools enable rapid discovery of business insights through dashboards, Pareto and profit analyses and indicator apps, supporting operational decision making. The repo includes deployment guidance, development resources and open-source licensing options so teams can self-host or use the SaaS offering for testing and production. It is intended to reduce integration effort when combining agent orchestration with enterprise data workflows.

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