Superagent — Your personal AI Executive Assistant

Superagent is your AI-powered executive assistant that manages your calendar 24/7 — automatically scheduling, rescheduling, and optimizing your time so every day runs effortlessly.

Comment

Inspiration

As an Engineering Manager, I often found myself juggling team priorities, projects, interviews, and cross-functional meetings. Amidst the noise, I’d occasionally forget to schedule recurring 1:1s or RSVP on time — not because of neglect, but because calendars are deceptively complex to manage.

That frustration sparked a realization: with modern AI, everyone should have access to a world-class executive assistant — one that operates around the clock, understands intent, and keeps your calendar clean without you lifting a finger.

That vision became Superagent — an AI-powered executive assistant that manages your calendar with the finesse of a real human EA.

Building the Agent

Superagent is accessible entirely through email. You simply message it — “Clear my day”, “Schedule an on-site interview”, or “What’s on my plate tomorrow?” — and it executes the request autonomously.

Under the hood, it’s powered by Amazon Bedrock AgentCore, leveraging a multi-agent runtime that connects reasoning LLMs with real-world execution tools. The system runs on a fully serverless AWS stack, integrating tightly with Google Calendar for seamless synchronization and context awareness.

The most exciting discovery was AgentCore Gateway — an elegant bridge that turns simple Lambda functions into reusable tools. Within hours, I could expose calendar operations as structured capabilities for the AI agents, effectively transforming the setup into a modular, production-ready automation system.

Challenges & Learnings

The hardest part was balancing autonomy with trust — ensuring Superagent feels proactive without being intrusive. Email parsing, context retention, and event conflict resolution all required fine-tuned design and iteration.

I learned how AgentCore simplifies building distributed, intelligent systems — and how serverless design unlocks scalability without operational overhead. It was a deep dive into the next generation of applied AI infrastructure.

What’s Next

The next milestone is to make Superagent more context-aware — understanding participant time zones, generating meeting agendas, and linking relevant Google Docs as pre-reads automatically.

The long-term vision is simple yet powerful: make calendar management invisible. With Superagent, every professional can experience the luxury of a dedicated executive assistant — powered entirely by AI.

Core Components

AI & Agent Infrastructure:

  • ✅ Amazon Bedrock AgentCore Runtime and Gateway: Core AI agent execution environment
  • ✅ Amazon Bedrock Nova: Advanced reasoning LLM for decision-making and natural language understanding
  • ✅ Amazon AgentCore SDK and Strands Agents SDK: Agent development and orchestration frameworks

Backend Services:

  • AWS Lambda: Serverless compute for backend functions and tool execution
  • AWS API Gateway: RESTful API endpoints and request routing
  • AWS SES: Email sending and receiving infrastructure
  • DynamoDB: User data, access tokens, and agent mappings storage
  • AWS S3: Email storage and processing

Frontend:

  • React.js: Modern web application framework for user interface
  • Python: Backend service development and agent logic

AWS AI Agent Qualification Compliance

This architecture satisfies all AWS-defined AI agent qualification requirements:

✅ Meets AWS-defined AI agent qualification: Built on Amazon Bedrock AgentCore with proper agent runtime and gateway integration.

Uses reasoning LLMs for decision-making: Powered by Amazon Bedrock Nova Pro for advanced reasoning, planning, and autonomous decision-making.

Demonstrates autonomous capabilities: Multi-agent system operates independently with minimal human intervention, processing emails and executing calendar tasks autonomously.

Integrates APIs, databases, external tools, and other agents:

  • APIs: Google Calendar API integration for calendar operations
  • Multi-Agent System: Three specialized agents (Planning, Executor, Communication) working collaboratively

Built With

  • agentcore-sdk
  • amazon-bedrock-agentcore-gateway
  • amazon-bedrock-agentcore-runtime
  • amazon-bedrock-nova-pro
  • amazon-web-services
  • aws-api-gateway
  • aws-lambda
  • aws-ses
  • dynamodb
  • google-calendar-api
  • google-oauth
  • javascript
  • llms
  • multi-agent
  • python
  • react.js
  • serverless-framework
  • strands-agents-sdk
  • tailwind-css
  • typescript
Share this project:

Updates