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InternLM/HuixiangDou

HuixiangDou: Overcoming Group Chat Scenarios with LLM-based Technical Assistance observed · 2026-08-28

github.com/InternLM/HuixiangDou · homepage · Python · BSD-3-Clause (permissive) observed · 2026-08-28

Health v2 · maintenance only

46/100

  • Activity 53
  • Release rhythm 25
  • Longevity 69
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: n/a
  • age_days: 979
  • days_rel: 289
  • days_push: 282
  • n_releases_24m: 1

Full methodology

Adoption not part of the score

2499 stars · 179 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

HuixiangDou is an LLM-based professional knowledge assistant designed for group chat scenarios, using a three-stage pipeline of preprocess, rejection, and response to answer technical questions without flooding conversations. It requires no model training, runs on CPU-only configurations, and ships Web, Android, and pipeline source code for WeChat, Lark, and other integrations.

Use cases

  • deploy an AI assistant in a WeChat group chat
  • answer technical questions from a knowledge base without spamming the group
  • build a RAG chatbot over project documentation
  • stream chat responses against a code repository
  • add a Q&A bot to Lark or Discord groups
  • run a knowledge assistant on CPU-only hardware
  • retrieve answers from documents including images

When to choose

  • you need a group-chat-aware assistant that filters noise and only answers relevant questions
  • you want a no-training RAG pipeline deployable on modest CPU hardware
  • you need WeChat, Lark, or web integrations with commercial-friendly licensing (BSD-3-Clause)

When to avoid

  • you need a general-purpose conversational chatbot rather than a domain knowledge assistant
  • you work outside computer science and want GraphRAG-style retrieval, where HuixiangDou2 may fit better
  • you require fully managed cloud hosting with no self-hosting

Facets

application · maturity active

rag chatbot llm-inference nlp image-processing search-engine webhook large-language-models chatbots artificial-intelligence developer-tools python self-hosted group-chat wechat-bot lark knowledge-assistant rejection-pipeline multimodal-retrieval no-training retrieval-augmented-generation natural-language-processing docker web-server android

3 sources

Member repositories

RepositoryRoleHealth v2
InternLM/HuixiangDoumain46

For agents

markdown · JSON · MCP: product_card(name="InternLM/HuixiangDou")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem