moyangzhan/langchain4j-aideepin
基于AI的工作效率提升工具(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-based productivity tools (Chat,Draw,RAG,Workflow,MCP marketplace, ASR,TTS, Long-term memory etc) observed · 2026-08-28
Health v2 · maintenance only
91/100
- Activity 97
- Release rhythm 90
- Longevity 80
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: 12.5
- age_days: 1121
- days_rel: 68
- days_push: 19
- n_releases_24m: 37
Adoption not part of the score
1361 stars · 332 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
LangChain4j-AIDeepin is an open-source, self-hostable AI application platform built on Spring Boot, LangChain4j, and LangGraph4j with Vue 3 frontends. It bundles AI chat, image generation, RAG knowledge bases (vector and knowledge-graph retrieval), a visual workflow editor, an MCP service marketplace, ASR/TTS, and short/long-term memory for building intelligent business assistants.
Use cases
- build a self-hosted ai chat assistant with a knowledge base
- create a rag chatbot over company documents
- design ai workflows with a visual editor
- connect mcp tools to an ai assistant
- add voice input and output to an ai chat app
- generate images from text prompts with multiple model providers
- give an ai assistant long-term memory of past conversations
- expose characters, knowledge bases, and workflows via a rest api
When to choose
- you want an all-in-one, self-hosted AI assistant platform with chat, RAG, and workflows
- your stack is Java/JVM and you want to build on LangChain4j
- you need both vector search and knowledge-graph (GraphRAG) retrieval
- you want MCP tool integration and a marketplace out of the box
- you need multi-provider LLM support (OpenAI, Qwen, Ollama, SiliconFlow) with streaming
When to avoid
- you need a lightweight library to embed in an existing app rather than a full platform
- your stack is Python-centric (LangChain, LlamaIndex ecosystems may fit better)
- you only need a simple chatbot UI without knowledge bases or workflows
- you require enterprise-grade scalability guarantees or commercial support
Facets
application · maturity active
rag chatbot agent-framework workflow-automation llm-inference speech-recognition tts mcp web-framework api-framework artificial-intelligence large-language-models chatbots self-hosted web-development self-hosted jvm langchain4j langgraph4j knowledge-base graphrag mcp-marketplace spring-boot ai-workflow long-term-memory image-generation asr tts retrieval-augmented-generation ai-agents web-server docker vue
2 sources
- readme: https://github.com/moyangzhan/langchain4j-aideepin · fetched 2026-08-28 · 6af4020dd61f
- homepage: http://www.aideepin.com · fetched 2026-08-29 · 73a3e99906fd
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| moyangzhan/langchain4j-aideepin | main | 91 |
For agents
markdown · JSON · MCP: product_card(name="moyangzhan/langchain4j-aideepin")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem