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

aingdesk/AingDesk

AingDesk是一款简单好用的AI助手,支持知识库、模型API、分享、联网搜索、智能体,它还在飞快成长中。 AingDesk is a simple and easy-to-use AI assistant that supports knowledge bases, model APIs, sharing, internet search, and intelligent agents. It is still growing rapidly. observed · 2026-08-28

github.com/aingdesk/AingDesk · homepage · TypeScript · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

60/100

  • Activity 85
  • Release rhythm 40
  • Longevity 40
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: 1
  • age_days: 567
  • days_rel: 463
  • days_push: 90
  • n_releases_24m: 20

Full methodology

Adoption not part of the score

2533 stars · 287 forks observed · 2026-08-28

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

AingDesk is an open-source, MIT-licensed AI assistant application for running local AI models (e.g., via Ollama) and third-party model APIs with a friendly desktop or server-hosted interface. It supports local knowledge bases, intelligent agents, MCP client integration, web search, and sharing assistants with others.

Use cases

  • run local AI models on my desktop without technical setup
  • build a chatbot grounded in my own documents
  • create a knowledge base from my PDFs and files
  • deploy a self-hosted AI assistant on a server with Docker
  • share an AI assistant with my team or friends
  • connect AI agents to tools via MCP
  • chat with DeepSeek or other model APIs in one app
  • give an AI assistant web search access

When to choose

  • you want a beginner-friendly GUI for local models like Ollama or DeepSeek
  • you need knowledge-base (RAG) chat without writing code
  • you want a self-hosted assistant deployable via Docker with sharing support
  • you need MCP client support and agent creation in a desktop app

When to avoid

  • you need a headless library or SDK to embed LLM features into your own code
  • you need highly scalable multi-tenant enterprise RAG infrastructure
  • you only want a minimal CLI for local model inference
  • you require mature multi-model simultaneous conversations (still upcoming)

Facets

application · maturity active

chatbot rag llm-inference agent-framework mcp web-scraping self-hosted artificial-intelligence large-language-models chatbots self-hosted cross-platform windows self-hosted cross-platform local-ai knowledge-base ollama deepseek model-api ai-assistant web-search intelligent-agents shareable retrieval-augmented-generation ai-agents macos docker electron nodejs

5 sources

Member repositories

RepositoryRoleHealth v2
aingdesk/AingDeskmain60

For agents

markdown · JSON · MCP: product_card(name="aingdesk/AingDesk")

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