Ross ROSS = Recommend OSS · open-source software intelligence for agents

LangChat/langchat

LangChat 是Java&LangChain4j生态的开源 AI Agent 应用平台,支持多模型、Agent、知识库 RAG、Skills、MCP 与智能问数。 observed · 2026-10-20

github.com/LangChat/langchat · homepage · Vue · Apache-2.0 (permissive) observed · 2026-10-20

Health v2 · maintenance only

67/100

  • Activity 97
  • Release rhythm 28
  • Longevity 70
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.

  • gap_med: 33
  • age_days: 985
  • days_rel: 616
  • days_push: 23
  • n_releases_24m: 4

Full methodology

Adoption not part of the score

1313 stars · 257 forks observed · 2026-10-20

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

Member repositories

RepositoryRoleHealth v2
LangChat/langchatmain67

For agents

markdown · JSON · MCP: product_card(name="LangChat/langchat")

Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem