Hector Sanchez
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AI Agent Application

Progressive web app providing conversational interface for AI agents with tool access.

live pwa agent-interface

Overview

The AI Agent Application is a progressive web app (PWA) that serves as the primary interface for interacting with AI agents that have access to external tools and services through MCP servers. Unlike simple chatbots, this application enables agents to take actions in the real world - managing emails, creating tasks, scheduling events, and more.

The application runs on Cloud Run and provides a responsive, mobile-friendly interface that works offline and can be installed as a standalone app on any device.

Current Features

Multi-Backend Support

  • Provider Flexibility: Switch between AI providers (OpenAI, Anthropic, Google) without changing interface
  • Adapter Pattern: Standardized adapter layer for easy integration of new providers
  • Configuration Management: Per-agent provider settings and API key management

Progressive Web App Capabilities

  • Offline Support: Service workers enable offline functionality
  • Installable: Add to home screen on mobile and desktop
  • Responsive Design: Optimized for phones, tablets, and desktop
  • Push Notifications: Real-time updates for agent actions (planned)

Conversation Management

  • Persistent History: All conversations saved with search functionality
  • Context Preservation: Maintain context across sessions
  • Export/Import: Download conversation transcripts
  • Organization: Tag and categorize conversations

Security & Privacy

  • Local Credential Storage: API keys encrypted and stored locally
  • Secure Communication: HTTPS-only with certificate pinning
  • Session Management: Automatic logout and token refresh
  • User Authentication: OAuth integration for multi-user scenarios (planned)

Agent Capabilities (via MCP Integration)

The application connects to MCP servers to enable agents to:

  • Access and manage Google Workspace (Gmail, Calendar, Drive, Docs, Tasks)
  • Create and manage market research surveys
  • [PLACEHOLDER: Additional tool integrations]

Upcoming Features

Enhanced Agent Features

  • [PLACEHOLDER: Multi-agent collaboration within single conversation]
  • [PLACEHOLDER: Agent memory and personalization]
  • [PLACEHOLDER: Custom agent personas and specializations]
  • [PLACEHOLDER: Agent-to-agent handoffs for complex tasks]

Improved User Experience

  • [PLACEHOLDER: Voice input and output]
  • [PLACEHOLDER: Image and document upload for analysis]
  • [PLACEHOLDER: Rich media responses (charts, tables, embedded content)]
  • [PLACEHOLDER: Collaborative conversations (multiple users)]

Advanced Tool Integration

  • [PLACEHOLDER: Code execution environment for agent-generated code]
  • [PLACEHOLDER: Database query interface]
  • [PLACEHOLDER: Custom MCP server creation within app]
  • [PLACEHOLDER: Webhook support for external triggers]

Analytics & Insights

  • [PLACEHOLDER: Usage tracking and cost analysis]
  • [PLACEHOLDER: Agent performance metrics]
  • [PLACEHOLDER: Conversation analytics and patterns]
  • [PLACEHOLDER: Export to analytics platforms]

Enterprise Features

  • [PLACEHOLDER: Multi-tenant support]
  • [PLACEHOLDER: Role-based access control]
  • [PLACEHOLDER: Audit logging]
  • [PLACEHOLDER: SSO integration]
  • [PLACEHOLDER: Custom branding]

Technical Architecture

Frontend

  • Progressive Web App built with modern JavaScript framework
  • Service Worker for offline functionality and caching
  • IndexedDB for local data persistence
  • WebSocket for real-time updates (planned)

Backend

  • Cloud Run for scalable, serverless deployment
  • Session management and user state
  • Adapter layer for AI provider abstraction
  • MCP client for tool integration

Deployment

  • Containerized deployment to Cloud Run
  • Continuous deployment from version control
  • A/B testing infrastructure (planned)
  • Feature flags for gradual rollout

Future Vision

The long-term goal is to make this the primary interface for interacting with AI agents that can accomplish real-world tasks. The application will evolve from a chat interface into a comprehensive agent orchestration platform where users can:

  • Design and deploy custom agents
  • Monitor agent activities across multiple tools
  • Collaborate with both human and AI team members
  • Build workflows that combine human and agent capabilities