HiveNexus/HiveChat
An AI chat bot for small and medium-sized teams, supporting models such as Deepseek, Open AI, Claude, and Gemini. 专为中小团队设计的 AI 聊天应用，支持 Deepseek、Open AI、Claude、Gemini 等模型。 observed · 2026-08-28
Health v2 · maintenance only
39/100
- Activity 42
- Release rhythm 35
- Longevity 40
Flags: no_releases 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: n/a
- age_days: 560
- days_rel: n/a
- days_push: 351
- n_releases_24m: 0
Adoption not part of the score
1184 stars · 177 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
HiveChat is a self-hostable AI chat application designed for small and medium-sized teams, with multi-user management, group-based permissions, and monthly token quotas. It supports many LLM providers (OpenAI, Claude, Gemini, DeepSeek, Ollama, and more), MCP servers, AI agents, image understanding, and enterprise login via email, WeCom, DingTalk, or Feishu.
Use cases
- deploy a shared AI chatbot for my team
- self-host a ChatGPT alternative with user management
- let employees use multiple LLM providers with one admin setup
- set token limits per user group for AI usage
- support MCP servers in a team chat app
- integrate DingTalk or Feishu login for AI chat
- manage AI model access for a school or company
When to choose
- you need centralized admin configuration with per-group model access and token quotas
- you want to aggregate many LLM providers behind one self-hosted interface
- your team uses Chinese enterprise logins like WeCom, DingTalk, or Feishu
- you need MCP support and multi-user management out of the box
When to avoid
- you need a single-user desktop chat client
- you require a permissive OSI-approved license (license is custom/unclear)
- you want serverless Postgres like Vercel or Neon for local deployment (explicitly unsupported)
- you need heavy customization beyond an OpenAI-style provider setup
Facets
application · maturity active
chatbot chat-interface auth authorization mcp llm-inference agent-framework rate-limiting self-hosted large-language-models chatbots artificial-intelligence self-hosted web-development self-hosted serverless cross-platform multi-user team-collaboration admin-dashboard token-quota nextjs postgresql sso dingtalk feishu wecom openai-compatible web-server nodejs docker
3 sources
- readme: https://github.com/HiveNexus/HiveChat · fetched 2026-08-28 · 19a3006a9295
- homepage: https://www.hivechat.net/ · fetched 2026-08-29 · e67674c5531c
- site_page: https://www.hivechat.net/docs · fetched 2026-08-29 · 7d16461a5ac1
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| HiveNexus/HiveChat | main | 39 |
For agents
markdown · JSON · MCP: product_card(name="HiveNexus/HiveChat")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem