Show HN: HTTPS://github.com/kody-with Copilot-Agent-365

After deployment completes, you'll see "Your deployment is complete" ✅

1. Click the "Outputs" tab on the left sidebar (see screenshots below)
2. Find and copy the entire script value:
   • Windows users: Copy windowsSetupScript
   • Mac/Linux users: Copy macLinuxSetupScript
3. Save it as a file and run:

First, click on "Outputs" in the left sidebar

Then copy your platform's setup script

Windows (PowerShell):

If you get a security error, first run: Set-ExecutionPolicy RemoteSigned -Scope CurrentUser

Mac/Linux (Terminal):

That's it! Your AI assistant is now running both in Azure and locally with all settings automatically configured. 🎉

• 🧠 GPT-4 Powered - Latest Azure OpenAI models
• 💾 Persistent Memory - Remembers conversations across sessions
• 🔐 Enterprise Security - Function-level authentication
• ⚡ Auto-scaling - Serverless Azure Functions
• 🎨 Web Chat Interface - Beautiful UI included
• 🔧 Zero Configuration - All Azure settings automatically configured
• 💼 Microsoft 365 Integration - Optional deployment to Teams & M365 Copilot (via Power Platform)
• 🤖 Multi-Channel Support - Web, Teams, M365 Copilot, or direct API access

• Auto-installs Python 3.11 if not found (required for Azure Functions v4)
• Handles all path issues including spaces in "Program Files"
• Configures all Azure settings automatically from your deployment
• No manual editing required - everything just works!

• Stores conversation context per user
• Maintains shared knowledge base
• Persistent across sessions

• Modular agent architecture
• Easy to add custom agents
• Built-in memory management agents

The setup script will automatically install missing components, but you'll need:

• Azure Account - Get free trial
• PowerShell - Already installed on Windows
• Everything else auto-installs! ✨

• Azure Account - Get free trial
• Python 3.9-3.11 - brew install [email protected] (Mac) or apt-get install python3.11 (Linux)
• Git - brew install git (Mac) or apt-get install git (Linux)
• Node.js - brew install node (Mac) or from nodejs.org

Then install Azure Functions Core Tools:

Once setup is complete, you can start your bot anytime with:

Then:

• Local API: http://localhost:7071/api/businessinsightbot_function
• Web Chat: Open client/index.html in your browser
• Azure URL: Automatically shown after setup (includes auth key)

Your bot can run in two modes:

• Standalone Mode (what you just set up): Direct REST API access via Azure Functions
• Power Platform Mode: Full Microsoft 365 integration with Teams chat and M365 Copilot

Deploy your AI assistant where your users already work:

• 💬 Microsoft Teams - Chat directly in Teams channels or personal chats
• 🤖 M365 Copilot - Deploy as a declarative agent in Microsoft 365 Copilot
• 👤 User Context - Automatically access user profile info (name, email, department)
• 🔐 SSO Authentication - Users authenticated via Azure AD/Entra ID
• 📊 Enterprise Analytics - Built-in usage tracking and compliance

Required Licenses (per user):

• Microsoft 365 E3/E5 or Business Premium
• Power Automate Premium (if using premium connectors)
• Microsoft Teams (included in M365)
• Optional: Microsoft 365 Copilot license (for M365 Copilot deployment)

Technical Requirements:

• Admin access to Power Platform Admin Center
• Permissions to create Power Automate flows
• Copilot Studio access (included in Power Automate Premium)
• Your Azure Function URL + Function Key (from Step 2 above)

1. Go to Copilot-Agent-365 Releases
2. Download Copilot365_PowerPlatform_Solution.zip
3. Open Power Apps
4. Navigate to Solutions → Import Solution
5. Upload the ZIP file and follow the wizard

1. Open Power Automate: flow.microsoft.com
2. Go to My flows → Find "Copilot365-Backend-Connector"
3. Edit the flow and update the HTTP action:
   • URI: https://your-function-app.azurewebsites.net/api/businessinsightbot_function
   • Headers:
     • Content-Type: application/json
     • x-functions-key: YOUR_FUNCTION_KEY (from Azure setup)
4. Save and test the flow

The flow automatically:

• Captures user message from Copilot Studio
• Enriches with Office 365 user profile (name, email, ID)
• Calls your Azure Function backend
• Returns formatted response

1. Open Copilot Studio
2. Create a new copilot or edit existing one
3. Go to Topics → Add a topic → From blank
4. Create trigger phrases (e.g., "help me", "I need assistance")
5. Add action: Call an action → Select your Power Automate flow
6. Map variables:
   • Input: Activity.Text (user message)
   • Output: Display the response from Power Automate
7. Publish your copilot

For Microsoft Teams:

1. In Copilot Studio, go to Channels → Microsoft Teams
2. Click Turn on Teams
3. Follow prompts to publish to your organization
4. Users can find your bot in Teams app store (internal apps)

For Microsoft 365 Copilot:

1. Create a declarative agent manifest (JSON)
2. Include your Copilot Studio bot ID
3. Deploy via Teams Admin Center or App Catalog
4. Users will see your agent in M365 Copilot sidebar

Update your agent code to use Office 365 user information:

Data Flow:

1. User sends message in Teams or M365 Copilot
2. Copilot Studio processes natural language and intent
3. Power Automate enriches request with Office 365 user profile
4. HTTP POST to your Azure Function with user context
5. Azure Function routes to appropriate agents
6. Response flows back through Power Automate → Copilot Studio → User

Additional costs for Power Platform integration:

• Power Automate Premium: ~$15/user/month (or $100/month for unlimited flows)
• Copilot Studio: Included in Power Automate Premium
• Microsoft 365 Copilot: ~$30/user/month (optional, only for M365 Copilot deployment)

Total monthly cost estimate:

• Standalone mode: ~$5/month + OpenAI usage
• With Power Platform: ~$25-40/user/month + OpenAI usage

When integrating with Power Platform:

1. Use managed identities where possible instead of function keys
2. Enable data loss prevention (DLP) policies in Power Platform Admin Center
3. Restrict access to specific Azure AD security groups
4. Audit logs - Enable logging in both Azure and Power Platform
5. Test in dev environment before rolling out to production
6. Monitor API usage to prevent quota exhaustion

• 📚 Power Platform Documentation
• 🤖 Copilot Studio Docs
• 💬 Community Forums

Edit these in Azure Portal → Function App → Configuration:

• ASSISTANT_NAME - Your bot's name
• CHARACTERISTIC_DESCRIPTION - Your bot's personality

Create new file in agents/ folder:

1. Azure deploys all resources (OpenAI, Storage, Function App)
2. Setup script is generated with YOUR credentials embedded
3. Running the script:
   • Installs Python 3.11 if needed
   • Clones the repository
   • Creates local.settings.json with your Azure values
   • Sets up Python environment
   • Installs all dependencies
   • Creates run scripts

The setup script automatically includes:

• ✅ Your Azure Storage connection string
• ✅ Your OpenAI API key and endpoint
• ✅ Your Function App details
• ✅ All other required settings

• Use Python 3.11 (automatically installed by script)
• Don't use Python 3.13+ (causes compatibility issues with Azure Functions)
• Script specifically installs and uses Python 3.11 to avoid issues

• Function App: ~$0 (free tier covers most usage)
• Storage: ~$5/month
• OpenAI: Pay per token used (~$0.01 per 1K tokens)

Total: ~$5/month + OpenAI usage

• Function App + Storage + OpenAI: ~$5/month + usage (same as above)
• Power Automate Premium: ~$15/user/month
• Microsoft 365 Copilot: ~$30/user/month (optional)

Total: ~$25-40/user/month + OpenAI usage

💡 Tip: Start with standalone mode to test, then upgrade to Power Platform when you're ready to deploy to your organization.

• API keys are embedded securely in the generated setup script
• Never commit local.settings.json to Git (contains secrets)
• Function requires authentication key for API access
• All traffic uses HTTPS
• Keys are unique to your deployment

• 🚀 Microsoft 365 Integration - Deploy to Teams and M365 Copilot
• 🤖 Dual-mode support - Run standalone or with Power Platform
• 👤 User context enrichment - Automatic Office 365 profile integration
• 📚 Comprehensive guides - Full setup documentation for both modes

• ✨ Auto-configuration - No manual editing of settings
• 🔧 Python path fix - Handles "Program Files" spaces
• 🐍 Python 3.11 auto-install - Windows script installs if missing
• 📦 Fixed package versions - Prevents compatibility issues
• 🚀 True one-click deploy - Everything configured automatically

Focus: Stability, Performance & Core Features • Oct-Dec 2025

• Enhanced Memory Management

  • Advanced context search with semantic similarity
  • Memory compression for long-running conversations
  • Automated memory cleanup and archiving
  • Memory analytics dashboard

• Agent Marketplace

  • Web-based agent upload interface
  • Agent versioning and rollback capabilities
  • Community agent sharing and discovery
  • Agent performance metrics

• Performance Optimization

  • Response caching layer
  • Parallel agent execution
  • Connection pooling for Azure services
  • Reduced cold start times (<1s)

Focus: Enterprise Productivity Suite • Jan-Mar 2026

• M365 Agents

  • Outlook email management (read, send, search, categorize)
  • Teams messaging and channel integration
  • SharePoint document search and retrieval
  • OneDrive file operations
  • Calendar management and scheduling

• Authentication & Security

  • Azure AD/Entra ID integration
  • Microsoft Graph API authentication
  • Role-based access control (RBAC)
  • Audit logging for compliance

• Workflow Automation

  • Automated email responses based on rules
  • Meeting summary generation from Teams
  • Document classification and tagging
  • Cross-app data synchronization

Focus: Intelligence & Automation • Apr-Jun 2026

• Multi-Agent Orchestration

  • Agent chaining for complex workflows
  • Parallel agent execution with result aggregation
  • Conditional agent routing based on context
  • Agent team collaboration patterns

• Advanced Analytics

  • Business intelligence agent (data analysis, visualization)
  • Predictive insights from conversation patterns
  • Sentiment analysis and user satisfaction tracking
  • Custom reporting and dashboards

• Document Intelligence

  • PDF/Word/PowerPoint content extraction
  • Document summarization
  • Question-answering over documents
  • Citation and reference tracking

• Voice & Multimodal

  • Real-time voice conversation support
  • Image analysis and description
  • Audio transcription and summarization
  • Video content understanding

Focus: Enterprise-Ready Platform • Jul-Sep 2026

• Multi-Tenancy

  • Organization-level isolation
  • Department/team-specific agents
  • Cross-tenant security boundaries
  • Centralized admin console

• Compliance & Governance

  • Data residency controls
  • PII detection and masking
  • Retention policies and legal hold
  • SOC 2 Type II certification prep

• Advanced Deployment Options

  • Kubernetes/container deployment
  • Private endpoint support
  • Hybrid cloud deployment
  • High availability (HA) configuration

• Enterprise Features

  • SSO with multiple identity providers
  • Custom branding and white-labeling
  • Usage quota and billing per user/team
  • SLA monitoring and alerting

Focus: Platform Expansion • Oct-Dec 2026

• Industry-Specific Agents

  • Healthcare compliance (HIPAA)
  • Financial services (SOX, PCI-DSS)
  • Legal document analysis
  • Manufacturing process optimization

• Third-Party Integrations

  • Salesforce CRM integration
  • ServiceNow ticketing
  • Slack and Discord support
  • Custom webhook connectors

• AI Model Flexibility

  • Multi-model support (GPT, Claude, Gemini)
  • Cost optimization through model routing
  • On-premises model deployment
  • Fine-tuning on organization data

Focus: Innovation & AI-Driven Automation

• Advanced Automation

  • Autonomous task execution
  • Proactive insights and recommendations
  • Self-healing workflows
  • Predictive business intelligence

• Developer Platform

  • SDK for custom integrations
  • GraphQL API
  • Event-driven architecture
  • Comprehensive API documentation
  • Low-code agent builder

• Global Scale

  • Multi-region deployment
  • Edge computing support
  • Real-time collaboration features
  • Advanced caching and CDN

✅ Backward Compatibility - All updates maintain existing functionality ✅ Security First - Every feature designed with enterprise security in mind ✅ User-Centric - Features driven by real user feedback and needs ✅ Open Source - Core platform remains free and community-driven ✅ Scalable - Architecture supports growth from individual to enterprise

Have an idea? Submit a feature request or join our discussions to shape the future of Copilot Agent 365!

1. Fork the repo
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit changes (git commit -m 'Add some AmazingFeature')
4. Push to branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

MIT License - See LICENSE

• Issues: GitHub Issues
• Discussions: GitHub Discussions

This project makes enterprise AI accessible to everyone by:

• Removing complexity - One-click deployment with zero configuration
• Handling all setup - Automatically installs and configures everything
• Providing memory - Your AI remembers context across conversations
• Enabling customization - Easy to add your own agents and features