LangChat/langchat
LangChat: Java LLMs/AI Project, Supports Multi AI Providers( Gitee AI/ 智谱清言 / 阿里通义 / 百度千帆 / DeepSeek / 抖音豆包 / 零一万物 / 讯飞星火 / OpenAI / Gemini / Ollama / Azure / Claude 等大模型), Java生态下AI大模型产品解决方案，快速构建企业级AI知识库、AI机器人应用 observed · 2026-08-28
Health v2 · maintenance only
46/100
- Activity 50
- Release rhythm 28
- Longevity 66
Flags: no_license
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: 43.5
- age_days: 937
- days_rel: 567
- days_push: 301
- n_releases_24m: 5
Adoption not part of the score
1276 stars · 254 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
LangChat is a Java-based enterprise AIGC platform for building AI knowledge bases, chatbots, and agent applications with multi-provider LLM support (OpenAI, DeepSeek, Gemini, Ollama, Claude, and Chinese providers). It integrates RBAC, RAG retrieval, MCP/plugin extensions, and offers a commercial Pro edition with visual workflow orchestration and sandboxed Skills execution.
Use cases
- build an enterprise AI knowledge base in Java
- create a company chatbot with RAG over internal documents
- self-host an AI assistant behind our firewall
- switch between multiple LLM providers like DeepSeek and OpenAI
- build AI agents with MCP and plugin tool calling
- deploy a private ChatGPT alternative for my team
- add vector search and document Q&A to a Java app
When to choose
- you need a Java/JVM-stack LLM application platform
- you want a self-hosted, RBAC-protected enterprise AI knowledge base
- you need multi-provider LLM support including Chinese models
- you want RAG, agents, and MCP integration out of the box
When to avoid
- you need visual workflow orchestration, sandboxed Skills, or Text2SQL, which are commercial-Pro-only
- you want a Python/Node ecosystem rather than Java
- you need a lightweight library to embed rather than a full application platform
- strict open-source licensing matters, since the license is marked NOASSERTION despite Apache 2.0 claims
Facets
application · maturity active
rag chatbot agent-framework llm-inference mcp chat-interface web-framework large-language-models artificial-intelligence chatbots self-hosted web-development jvm self-hosted cross-platform java llm-ops knowledge-base multi-provider enterprise-ai aigc langchain4j rbac workflow-orchestration commercial-open-source retrieval-augmented-generation ai-agents web-server docker
4 sources
- readme: https://github.com/LangChat/langchat · fetched 2026-08-28 · fd08151bfbc3
- homepage: http://langchat.cn · fetched 2026-08-29 · 47ed5cbbe201
- site_page: https://langchat.cn/about · fetched 2026-08-29 · 8353e4e723d9
- site_page: https://langchat.cn/pricing · fetched 2026-08-29 · ebd8753d528e
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| LangChat/langchat | main | 46 |
For agents
markdown · JSON · MCP: product_card(name="LangChat/langchat")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem