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alan-lj/healthdesk_agent

Analysis updated 2026-05-18

12PythonAudience · developerComplexity · 4/5Setup · moderate

TLDR

A LangGraph and DeepSeek powered AI agent that acts as a desktop mascot reminding office workers to rest, hydrate, and adjust their environment.

Mindmap

mindmap
  root((HealthDesk Agent))
    What it does
      Reminds you to rest and hydrate
      Desktop mascot companion
      Reads simulated office state
    Tech Stack
      Python
      FastAPI
      LangGraph
      DeepSeek API
    Use Cases
      Office health nudges
      LangGraph agent reference
      Trace based debugging
    Audience
      Developers
      Agent builders
    Setup
      Configure DeepSeek API key
      Init SQLite database
      Launch web or desktop mascot

Code map

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What do people build with it?

USE CASE 1

Get gentle reminders to stand up, drink water, or adjust your environment while working.

USE CASE 2

Study a working example of wiring LLM tool calling into a LangGraph state machine.

USE CASE 3

Run a desktop mascot companion driven by structured AI agent output.

USE CASE 4

Review a full trace of an agent's tool calls and reasoning for debugging.

What is it built with?

PythonFastAPILangGraphDeepSeek APISQLiteTkinter

How does it compare?

alan-lj/healthdesk_agentaim-uofa/reasonmatchairbone42/360-data-athlete
Stars121212
LanguagePythonPythonPython
Setup difficultymoderatehardhard
Complexity4/55/54/5
Audiencedeveloperresearchergeneral

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · moderate Time to first run · 30min

Requires a DeepSeek API key and a Python virtual environment before the agent can run.

In plain English

HealthDesk Agent is a health reminder tool aimed at people who spend long hours sitting at a computer. Instead of a fixed alarm that fires at set intervals, it runs an AI agent that looks at your current office situation (how long you have been sitting, whether you have been drinking water, how comfortable your environment is) and then offers a small, calm suggestion you can act on right away. It shows up as a desktop mascot called Xiao Ling that you can click, drag around your screen, and chat with. The technical core is a ReAct agent pipeline built with LangGraph and the DeepSeek API. ReAct is a pattern where the AI reasons about what to do, picks a tool to call, observes the result, and repeats until it has enough information to give a final answer. In this project, the tools are things like checking your sitting duration, reading device health data, and searching a local knowledge base of health tips. Every agent run records a full trace showing which tools were called, what the model decided, and why it stopped, which makes it straightforward to review or debug the agent's behavior. The project runs as a Python backend using FastAPI and SQLite. It has three ways to display results: a full web dashboard that shows the whole agent pipeline on one page, a lightweight browser companion for demonstrating the chat interaction, and a real Windows desktop mascot built with Tkinter that sits over your other windows and can be dragged between screens. The mascot saves its position between sessions. Right now the project uses a simulation module to generate office-state data rather than real sensors. The README notes that real hardware (a millimeter-wave radar, depth camera, water cup sensor, or temperature sensor) could replace the simulation layer without changing the agent itself, because the agent reads from a standardized data structure. The README is written in Chinese and describes this as an open prototype for anyone interested in how LLM tool-calling integrates with LangGraph, not a finished commercial product. It explicitly says the agent does not provide medical diagnoses or treatment advice.

Copy-paste prompts

Prompt 1
Help me set up a DeepSeek API key and run the HealthDesk Agent locally.
Prompt 2
Explain how the ReAct agent pipeline decides which health tool to call next.
Prompt 3
Show me how to swap the simulated office data for real sensor input.
Prompt 4
Walk me through how the local knowledge base search works in this project.

Frequently asked questions

What is healthdesk_agent?

A LangGraph and DeepSeek powered AI agent that acts as a desktop mascot reminding office workers to rest, hydrate, and adjust their environment.

What language is healthdesk_agent written in?

Mainly Python. The stack also includes Python, FastAPI, LangGraph.

How hard is healthdesk_agent to set up?

Setup difficulty is rated moderate, with roughly 30min to a first successful run.

Who is healthdesk_agent for?

Mainly developer.

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