Yuxi: A Multi-Tenant Agent Harness Integrating LightRAG and Knowledge Graphs

Yuxi is an advanced multi-tenant Agent Harness platform designed to orchestrate AI agents by integrating structured knowledge graphs and LightRAG-based knowledge bases to enhance retrieval and reasoning capabilities.

Architectural Overview

Yuxi provides a comprehensive framework for deploying and managing AI agents within a multi-tenant environment. By combining the flexibility of a harness with sophisticated knowledge management tools, it allows developers to build agents that leverage both unstructured data and structured relational knowledge.

Technical Stack and Integrations

The platform is built upon a modern, scalable stack designed for high-performance AI applications:

• Backend: Developed using FastAPI for efficient asynchronous API management and LangChain for the orchestration of LLM workflows and agentic logic.
• Frontend: Built with Vue, providing a responsive interface for managing multi-tenant configurations and agent interactions.
• Knowledge Management:
  • LightRAG: Integration of LightRAG for optimized retrieval-augmented generation.
  • Neo4j: Utilization of Neo4j as the primary graph database to manage complex knowledge graphs.
• Data Processing & Connectivity:
  • MinerU PDF: Implementation of MinerU for high-fidelity PDF parsing and data extraction.
  • MCP: Support for the Model Context Protocol (MCP) to standardize how agents interact with external tools and data sources.

Key Capabilities

Yuxi enables the deployment of DeepAgents, allowing for deeper reasoning paths and more accurate grounding through the synergy of graph-based retrieval and traditional RAG. The multi-tenant architecture ensures that knowledge bases and agent configurations remain isolated and secure across different users or organizational units.

Note: As the source material is based on a repository description, specific performance benchmarks and detailed API documentation are not available in this summary.