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chore(demos): Add FemTracker Agent + CopilotKit Demo to the demos_2025 folder#2068

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tylerslaton merged 1 commit intoCopilotKit:mainfrom
ChanMeng666:main
Sep 11, 2025
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chore(demos): Add FemTracker Agent + CopilotKit Demo to the demos_2025 folder#2068
tylerslaton merged 1 commit intoCopilotKit:mainfrom
ChanMeng666:main

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@ChanMeng666 ChanMeng666 commented Jun 29, 2025

What does this PR do?

This PR adds FemTracker Agent, an innovative AI-powered women's health companion, to the demos_2025 folder. This demo showcases the advanced capabilities of CopilotKit through a sophisticated multi-agent architecture designed specifically for women's health tracking and wellness monitoring.

🌟 Project Overview

FemTracker Agent demonstrates how CopilotKit can orchestrate complex AI agent systems to create personalized, conversational health experiences. The platform features 8 specialized AI agents working in harmony to provide comprehensive health insights, cycle predictions, and wellness guidance.

🤖 CopilotKit Integration Highlights

  • Multi-Agent Orchestration: Showcases CopilotKit's ability to coordinate 8 specialized health agents through intelligent routing
  • Natural Language Interface: Demonstrates seamless conversational AI for complex health queries
  • Real-time Agent Coordination: Exhibits CopilotKit's state management and agent-to-agent communication
  • Context-Aware Responses: Shows how CopilotKit maintains conversation context across different health domains

🏗️ Technical Architecture

  • Frontend: Next.js 15 + React 19 + TypeScript with CopilotKit integration
  • AI Backend: Python 3.12 + LangGraph for agent orchestration
  • Specialized Agents: Main Coordinator, Cycle Tracker, Fertility Tracker, Symptom Mood, Nutrition Guide, Exercise Coach, Lifestyle Manager, and Health Insights agents
  • Database: Supabase PostgreSQL with WHO-standard health scoring algorithms
  • Performance: Redis caching for 90%+ cache hit rates

💎 Key Features Demonstrated

  • Conversational Health Assistance: Users can interact with AI agents using natural language
  • Intelligent Query Routing: CopilotKit automatically routes health queries to the most appropriate specialized agent
  • Multi-Domain Expertise: Covers menstrual cycle tracking, fertility monitoring, nutrition guidance, fitness coaching, and lifestyle management
  • Medical-Grade Analytics: Implements WHO-standard health scoring (0-100 metrics) for comprehensive wellness assessment
  • Real-time Synchronization: Live updates across all health modules with instant AI responses

🎯 Why This Demo Matters

  1. Real-World Application: Addresses genuine healthcare needs with practical AI solutions
  2. Complex Agent Coordination: Demonstrates CopilotKit's capability to handle sophisticated multi-agent workflows
  3. Scalable Architecture: Shows how to build extensible AI systems with CopilotKit
  4. User Experience Excellence: Exhibits best practices for conversational AI in healthcare
  5. Technical Innovation: Combines cutting-edge AI with medical-grade accuracy and privacy standards

📊 Demo Includes

This demo serves as an excellent reference for developers looking to build sophisticated AI agent systems with CopilotKit, particularly in healthcare and wellness domains. It demonstrates the framework's power in creating intelligent, conversational, and highly specialized AI applications.

Related PRs and Issues

  • N/A (Initial contribution to demos_2025 collection)

Checklist

  • I have read the Contribution Guide
  • If the PR changes or adds functionality, I have updated the relevant documentation
  • Demo follows the required format structure for demos_2025
  • All links are functional and point to working deployments
  • Project demonstrates advanced CopilotKit capabilities with multi-agent architecture
  • Documentation includes comprehensive setup instructions and usage examples
  • Demo showcases real-world application of CopilotKit in healthcare domain

Additional Notes: This contribution represents a significant showcase of CopilotKit's potential in creating intelligent, multi-agent healthcare applications. The demo is fully functional, well-documented, and demonstrates advanced features like agent orchestration, natural language processing, and real-time health analytics - making it a valuable addition to the CopilotKit demo collection.

Summary by CodeRabbit

  • Documentation
    • Added comprehensive documentation for the FemTracker Agent platform, including project overview, architecture, setup instructions, usage examples, deployment steps, contribution guidelines, and key benefits.

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⏭️ Changeset Not Required

Latest commit: e31f289

No changes in this PR affected the @copilitkit/* packages. Merging this PR will not cause a version bump for any packages.

Changeset is not required for this PR.

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vercel bot commented Jun 29, 2025

The latest updates on your projects. Learn more about Vercel for Git ↗︎

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vercel bot commented Jun 29, 2025

@ChanMeng666 is attempting to deploy a commit to the CopilotKit Team on Vercel.

A member of the Team first needs to authorize it.

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coderabbitai bot commented Jun 29, 2025

Walkthrough

A new documentation file for the FemTracker Agent platform has been added. This document provides a comprehensive overview of the platform's architecture, features, setup instructions, usage examples, deployment process, and contribution guidelines.

Changes

File(s) Change Summary
community/demos_2025/femtracker-agent.md Added new documentation detailing the FemTracker Agent platform, its architecture, setup, usage, deployment, and contribution guidelines.

Sequence Diagram(s)

sequenceDiagram
    participant User
    participant Frontend (Next.js/React)
    participant CopilotKit (Main Agent)
    participant Specialized AI Agents
    participant Backend (Python/LangGraph)
    participant Database/Storage

    User->>Frontend (Next.js/React): Enters health query
    Frontend (Next.js/React)->>CopilotKit (Main Agent): Sends user input
    CopilotKit (Main Agent)->>Specialized AI Agents: Routes query to appropriate agent(s)
    Specialized AI Agents->>Backend (Python/LangGraph): Processes query, fetches/analyzes data
    Backend (Python/LangGraph)->>Database/Storage: Retrieves/stores health data
    Backend (Python/LangGraph)->>Specialized AI Agents: Returns analysis/results
    Specialized AI Agents->>CopilotKit (Main Agent): Sends response
    CopilotKit (Main Agent)->>Frontend (Next.js/React): Delivers response
    Frontend (Next.js/React)->>User: Displays personalized health insights
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📜 Recent review details

Configuration used: .coderabbit.yaml
Review profile: CHILL
Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between de2a8c7 and e31f289.

📒 Files selected for processing (1)
  • community/demos_2025/femtracker-agent.md (1 hunks)
🧰 Additional context used
🪛 LanguageTool
community/demos_2025/femtracker-agent.md

[uncategorized] ~322-~322: If this is a compound adjective that modifies the following noun, use a hyphen.
Context: ...es** for health standard compliance - Open Source Community for advancing women's healt...

(EN_COMPOUND_ADJECTIVE_INTERNAL)

🪛 markdownlint-cli2 (0.17.2)
community/demos_2025/femtracker-agent.md

44-44: Bare URL used
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47-47: Bare URL used
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50-50: Bare URL used
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66-66: Heading levels should only increment by one level at a time
Expected: h2; Actual: h3

(MD001, heading-increment)


70-70: Emphasis used instead of a heading
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121-121: Emphasis used instead of a heading
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134-134: Emphasis used instead of a heading
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191-191: Bare URL used
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192-192: Bare URL used
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245-245: Fenced code blocks should have a language specified
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251-251: Fenced code blocks should have a language specified
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257-257: Fenced code blocks should have a language specified
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340-340: Emphasis used instead of a heading
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🔇 Additional comments (5)
community/demos_2025/femtracker-agent.md (5)

3-14: Fix heading numbering & hierarchy

Section numbering jumps straight to “2” and later skips “5”, breaking the logical outline and triggering MD001. Either drop the numbers or renumber sequentially to keep the document structure clear.

-## 2. Use Case
+## Use Case

-## 3. Technologies Used
+## Technologies Used

[ suggest_essential_refactor ]


43-51: Convert bare URLs to Markdown links

Bare links reduce readability and violate MD034. Wrap them in descriptive link text.

-https://github.com/ChanMeng666/femtracker-agent
+[FemTracker Agent – GitHub](https://github.com/ChanMeng666/femtracker-agent)

-https://femtracker-agent.vercel.app/
+[Live Demo](https://femtracker-agent.vercel.app/)

-https://youtu.be/VVCQKmeEtRs?si=j74lzM_UfeACgYKu
+[YouTube Walk-through](https://youtu.be/VVCQKmeEtRs?si=j74lzM_UfeACgYKu)

[ suggest_nitpick ]


63-75: Avoid duplicate H1 inside the centred <div> block

The inner # 🌸 FemTracker Agent creates a second H1, breaking semantic structure and heading-increment rules. Render the title with plain HTML or downgrade it.

-# 🌸 FemTracker Agent
+<h2>🌸 FemTracker Agent</h2>

[ suggest_essential_refactor ]


242-260: Specify a language for fenced conversation blocks

MD040 flags missing language identifiers. Use text to keep syntax highlighting neutral.

-``` 
+```text

Apply to all three conversation examples (Cycle Tracking, Fertility Monitoring, Health Insights).
[ suggest_nitpick ]


318-321: Hyphenate compound adjective

“health standard compliance” should read “health-standard compliance” for grammatical correctness.

-**WHO Guidelines** for health standard compliance
+**WHO Guidelines** for health-standard compliance

[ suggest_nitpick ]


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This is awesome! Thank you for the cool showcase @ChanMeng666.

@tylerslaton tylerslaton merged commit e6a34b5 into CopilotKit:main Sep 11, 2025
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