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A2A Custom Agents Workshop

In this workshop, you’ll learn to build custom AI agents using xpander.ai that collaborate through Agent-to-Agent (A2A) protocols. Using coding agents as a practical example, you’ll create agents that work together to handle complex multi-step tasks through intelligent coordination and communication.

When finished, you’ll understand how to create custom agents for any domain, implement A2A communication patterns, and build reliable multi-agent systems that can tackle sophisticated challenges.

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The xpander.ai Custom Agent Platform

xpander.ai provides the infrastructure for building custom autonomous agents:

• Custom Agent Framework - Build agents for any domain or use case
• Agent-to-Agent Protocol (A2A) - Orchestration and communication between agents
• Local Functions - Execute custom code and local operations
• Unified state management - Memory objects to make agents stateful with thread support
• Tool access - Model Context Protocol (MCP) compatible tool integration
• Agentic RAG - Optimize API responses for better agent performance
• Reliable execution - Robust engine for tool use and AI calls
• Human interfaces - REST API, Web UI, MCP, and webhook support
• Vault - Secure key management

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Workshop Focus: Custom Agents with A2A

This workshop teaches you to build custom agents using coding as a concrete example. The principles apply to any domain:

1. Custom Agent Design - Design patterns for domain-specific agents
2. A2A Communication - How agents coordinate and collaborate
3. Local Functions - Execute custom logic and operations locally
4. Multi-Agent Orchestration - Manage complex workflows across agents
5. Practical Implementation - Build coding agents as a real-world example

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Workshop Modules

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What You’ll Learn

This workshop teaches you:

• Custom Agent Architecture - Design patterns for building domain-specific agents
• A2A vs MCP - When to use Agent-to-Agent communication vs. tool access protocols
• Local Functions - How to execute custom code and operations within agents
• Multi-Agent Systems - Orchestration, coordination, and communication patterns
• Practical Implementation - Real-world coding agent examples you can adapt

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Key Concepts

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Custom Agents

Learn to build agents tailored for specific domains and use cases:

• Role definition and specialization
• Custom logic and business rules
• Domain-specific tools and capabilities
• Performance optimization for specific tasks

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Agent-to-Agent (A2A) Protocol

Understand how agents collaborate:

• Coordination and task delegation
• Information sharing between agents
• Conflict resolution and consensus
• Workflow orchestration across multiple agents

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Local Functions

Execute custom operations within agents:

• File system operations
• Database interactions
• API integrations
• Custom business logic

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Coding Agent Example

While the workshop uses coding agents as examples, the patterns apply to any domain:

• Repository management agents
• Code generation specialists
• Quality assurance agents
• Project management coordinators

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Prerequisites

You need:

• AWS account with Amazon Bedrock access
• xpander.ai account
• GitHub account
• Basic understanding of AI agents and APIs
• Programming knowledge (Python/JavaScript helpful)

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Beyond Coding Agents

The patterns you’ll learn apply to many domains:

• Content Creation - Agents for writing, editing, and publishing
• Data Analysis - Agents for processing, analyzing, and reporting
• Customer Service - Agents for support, escalation, and resolution
• Sales & Marketing - Agents for lead generation, nurturing, and conversion
• Operations - Agents for monitoring, alerting, and automation

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Getting Started

Ready to build custom agents that work together? Start with Module 1 to create your first coding agent and learn the foundational patterns for custom agent development.

Go to module 1 to begin building your custom agent system!