Reverse engineer anything with agents, from app behavior down to native binaries.
Langchain4j Aideepin
AI 应用平台（聊天、绘画、知识库、工作流、 MCP服务市场、语音输入输出、长期记忆） | AI application platform (Chat,Draw,RAG,Workflow,MCP marketplace, ASR,TTS, Long-term memory etc)
Install
$
git clone https://github.com/moyangzhan/langchain4j-aideepinInstall command taken from the project's README or registry entry. Always review code before running it.
README excerpt
Read full README on GitHub →Getting Started
🇨🇳 中文文档 | English
LangChain4j-AIDeepIn — AI application platform.
Integrates AI chat, knowledge base (RAG), workflow orchestration, long/short-term memory, MCP tools, and more — for rapidly building intelligent business assistants.
Demo: http://www.aideepin.com
Repository Structure
| Directory | Description | Docs |
|---|---|---|
| server/ | Backend service (Spring Boot + langchain4j + langgraph4j) | README |
| admin-web/ | Admin dashboard (Vue 3 + Naive UI) | README |
| user-web/ | User-facing web app (Vue 3 + Naive UI) | README |
Documentation
| Section | On GitHub | Rendered site |
|---|---|---|
| User Guide | docs/en/guide | Site |
| API Reference | docs/en/api | Site |
| Developer Docs | docs/en/dev | Site |
The rendered site is auto-built and published by GitHub Actions when docs/** changes on main. To run it locally: pnpm install && pnpm run docs:dev.
For deployment, see docker/README.md or each sub-project's README.
Features
| Feature | Description |
|---|---|
| AI Chat | Multi-character (multi-conversation) with configurable prompts, models, and parameters. Streaming output |
| Image Generation | Text-to-image and image editing. Supports GPT-Image-2, DashScope Wanx, and more |
| Knowledge Base (RAG) | Supports both vector search and knowledge graph retrieval |
| AI Workflow | Visual editor with conditional branching, parallel execution, and built-in nodes for LLM calls, knowledge base queries, human feedback, and more |
| MCP Service Marketplace | Integrate MCP services to extend AI with external tools and data sources |
| ASR & TTS | Flexible text/voice input and output combinations (text⇄text, text⇄voice, voice⇄text, voice⇄voice), with selectable AI voice tones |
| Short & Long-term Memory | Automatically extracts and stores key information from conversations for personalized responses based on historical context |
| Storage | Local file storage, Alibaba Cloud OSS integration |
| Open API | RESTful API for Characters, Knowledge Bases, and Workflows — generate API keys and integrate with external systems. Supports streaming and blocking response modes |
Integrated Platform Features
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