Getting Started with AgenticGoKit
Welcome to AgenticGoKit! You're about to discover how to build sophisticated AI agent systems using the performance and reliability of Go. Whether you're new to AI agents or experienced with other frameworks, this tutorial will guide you through everything you need to know.
What You'll Learn
By the end of this tutorial, you'll be able to:
- Build intelligent agents that can reason, remember, and take actions
- Orchestrate multiple agents to work together on complex tasks
- Add memory and knowledge to make your agents smarter over time
- Integrate external tools to extend your agents' capabilities
- Create production-ready workflows that handle real-world scenarios
Why AgenticGoKit?
AgenticGoKit brings the power of AI agents to Go developers with:
- Native Go Performance: Compiled binaries with efficient memory usage
- Configuration-First Approach: Define your agents and workflows in simple TOML files
- Multi-Agent Orchestration: Built specifically for agent collaboration patterns
- Production Ready: Error handling, monitoring, and scaling built-in
- Tool Integration: MCP protocol support for dynamic tool discovery
Your Learning Journey
This tutorial is designed as a progressive learning experience. Each section builds on the previous one, so we recommend following the path in order:
🏗️ Foundation
Start here to get AgenticGoKit running on your system and understand the core concepts.
Learning Path
Follow these sections in order for the best learning experience. Each section builds on the previous one.
Installation - Set up AgenticGoKit and verify everything works
- Prerequisites: Go 1.21+, basic command line knowledge
- Time investment: Setup and verification
- Outcome: Working AgenticGoKit development environment
Understanding Agents - Learn what agents are and how they work
- Prerequisites: Completed installation
- Focus: Conceptual foundation and mental models
- Outcome: Clear understanding of AI agents and AgenticGoKit's approach
🚀 First Success
Build your first working agent to see AgenticGoKit in action.
Your First Agent - Create and run a simple agent
- Prerequisites: Understanding of core concepts
- Focus: Hands-on agent creation and execution
- Outcome: Working agent that responds to your questions
Agent Configuration - Customize your agent's behavior
- Prerequisites: Basic agent creation experience
- Focus: Configuration mastery and customization
- Outcome: Ability to create specialized agents for any purpose
🤝 Collaboration
Discover the power of multiple agents working together.
Multi-Agent Basics - Orchestrate multiple agents
- Prerequisites: Agent configuration skills
- Focus: Multi-agent orchestration patterns
- Outcome: Teams of specialized agents working together
Adding Memory - Give your agents persistent memory
- Prerequisites: Multi-agent orchestration understanding
- Focus: Persistent memory and knowledge bases
- Outcome: Agents that remember and learn from interactions
🛠️ Enhancement
Add advanced capabilities to create sophisticated systems.
Tool Integration - Connect agents to external tools
- Prerequisites: Memory-enabled agents
- Focus: MCP protocol and external service integration
- Outcome: Agents that can search the web, manage files, and use APIs
Building Workflows - Create complex, real-world systems
- Prerequisites: Tool integration knowledge
- Focus: Production-ready workflow design
- Outcome: Sophisticated systems combining all AgenticGoKit capabilities
🎯 Mastery
Become confident in troubleshooting and building your own projects.
Troubleshooting - Debug and solve common issues
- Prerequisites: Experience with complex workflows
- Focus: Debugging and problem-solving techniques
- Outcome: Ability to diagnose and fix system issues
Next Steps - Continue your AgenticGoKit journey
- Prerequisites: Completed all previous sections
- Focus: Advanced learning paths and community engagement
- Outcome: Clear direction for continued growth and specialization
Prerequisites
Before starting, make sure you have:
- Go 1.21 or later installed on your system
- Basic Go knowledge - understanding of packages, functions, and error handling
- Command line familiarity - comfortable running commands in terminal/command prompt
- Text editor or IDE - for viewing and editing code files
Don't worry if you're new to AI agents - we'll explain everything you need to know!
Learning Approach
This tutorial emphasizes:
- Hands-on learning - You'll build working code in every section
- Understanding over speed - Take your time to understand each concept
- Practical examples - Real-world scenarios, not toy problems
- Progressive complexity - Start simple, build up to sophisticated systems
- Confidence building - Each section ends with working code you can be proud of
Getting Help
If you get stuck or have questions:
- Check the troubleshooting section in each tutorial
- Visit our Troubleshooting Guide for common issues
- Ask questions in GitHub Discussions
- Report bugs in GitHub Issues
Success Stories
Developers using AgenticGoKit have built:
- Research assistants that gather, analyze, and synthesize information
- Content creation pipelines that generate and refine written content
- Data processing workflows that clean, analyze, and report on datasets
- Customer service systems that handle inquiries with context and memory
- Knowledge management tools that organize and retrieve information
You'll learn to build systems like these and more!
Ready to Begin?
Let's start your journey with AgenticGoKit. The first step is getting everything installed and configured on your system.
Remember: This is a learning journey, not a race. Take your time, experiment with the examples, and don't hesitate to ask for help when you need it.