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lingxi-core

lingxi-core

Open source Apache-2.0 Python
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About lingxi-core

无需编程,即可快速构建基于先进AI模型的各类智能应用——从简单的问答机器人到包含复杂逻辑的工作流。构建完成后,一键发布 至主流社交平台、Web网页,或通过开放API无缝集成到现有系统进行深度开发。

Platforms

Web Self-hosted

Languages

Python

Read this in other languages: English, 中文.

《AI Application Development Platform》

Build Intelligent Apps with Zero Code, One-Click Publishing, Infinite Scalability

Platform Overview

No coding required—rapidly build various intelligent applications powered by advanced AI models, from simple Q&A bots to complex logic-driven workflows. Upon completion, publish with one click to major social platforms, web pages, or integrate seamlessly into existing systems via Open APIs for deeper development.

Technical Foundation

  • Frontend: Vue3 (Reactive Framework) + Arco Design ( Enterprise-Grade UI) + Tailwind CSS (Efficient Styling)
  • Backend: Python 3.12 + Flask (Lightweight Web Framework) + LangChain 0.3 & LangGraph 0.2 (Core AI Orchestration) + Redis (Cache/Message Queue) + JWT (Secure Authentication)
  • Data Storage: PostgreSQL (Relational Database) + Weaviate (High-Performance Vector Database)
  • Asynchronous Processing: Celery (Distributed Task Queue)

Core Feature Highlights

  1. Intelligent Homepage: Built-in assistant Agent helps you quickly start creating personalized AI applications.
  2. Personal Workspace: Centrally manage your AI applications, plugins, workflows, and knowledge base resources.
  3. Powerful AI Application Orchestration:
    • Custom AI Personas & Logic: Flexibly define AI personalities, response strategies, and optimize prompts.
    • Multi-Agent System (Beta): Supports both single-Agent operation and Supervisor-coordinated multi-Agent systems.
    • Rich Capability Extensions: Integrate plugins, workflows, knowledge bases; configure long-term memory, opening prompts/preset questions, user question suggestions, multi-language/multi-modal input/output, content moderation, etc.
    • MCP Client Configuration: Adhering to the MCP protocol specification, it can seamlessly invoke external tools and services, enhancing external scalability.
    • Real-Time Preview & Debugging: Test while you build with WYSIWYG editing, boosting development efficiency.
    • Model Flexibility: Supports custom LLM integration and key parameter tuning.
    • Version Control: Enables historical version rollback for AI applications, ensuring configuration security.
  4. Effortless Application Publishing: Offers one-click publishing to Web interfaces and WeChat Official Accounts.
  5. Multi-Dimensional Analytics: Provides comprehensive operational insights for Agent applications (e.g., interaction volume, effectiveness).
  6. Custom Plugin Development: Extend platform capabilities flexibly to meet custom business requirements.
  7. Visual Workflow Orchestration:
    • Rich node library: Start/End, LLM Invocation, Plugin Execution, Knowledge Retrieval, Template Transformation, Intent Recognition, Loop Iteration, HTTP Request, Python Code Execution, Conditional Branching, etc.
    • Supports workflow debugging to ensure logical accuracy.
  8. Intelligent Knowledge Base Management:
    • Supports multi-format document upload, intelligent text segmentation, and preprocessing.
    • Leverages Weaviate vector database for RAG (Retrieval-Augmented Generation) Enhanced Retrieval: Supports multiple efficient retrieval strategies like similarity search, full-text search, hybrid search.
  9. Built-In Resource Hub: Offers ready-to-use pre-built application templates and curated plugin libraries to accelerate application development.
  10. Open API Interface: Provides comprehensive Open APIs to directly invoke Agent applications, supporting both streaming and non-streaming outputs for deep integration.