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Next Steps

Now that you've got AgenticGoKit installed and running, here are recommended next steps to master multi-agent AI development.

Learning Path

Beginner (1-2 hours)

  1. Getting Started - You're here!
  2. Core Concepts - Understand the fundamentals
  3. Your First Agent - Build a complete agent from scratch

Intermediate (2-4 hours)

  1. Multi-Agent Collaboration - Multiple agents working together
  2. Memory & RAG - Add knowledge capabilities
  3. Tool Integration - Connect external tools and APIs

Advanced (4+ hours)

  1. Production Deployment - Deploy to production
  2. Advanced Patterns - Complex orchestration and scaling
  3. Custom Development - Contribute to the framework

Quick Examples by Use Case

🔍 Research & Analysis

bash
# Multi-agent research team
agentcli create research-team --template research-assistant
cd research-team
go run . -m "Research the latest AI developments"

💬 Conversational AI

bash
# Memory-enabled chat assistant
agentcli create chat-bot --template memory-chat
cd chat-bot
go run . -m "Hello, I'm Alex. Remember my name."

📊 Data Processing

bash
# Sequential data pipeline
agentcli create data-pipeline --template sequential-processing
cd data-pipeline
go run . --input data.json

📚 Knowledge Management

bash
# RAG-powered Q&A system
agentcli create knowledge-base --template rag-qa
cd knowledge-base
go run . -m "What does our documentation say about deployment?"

Explore Templates

View all available project templates:

bash
agentcli template list

Popular templates:

  • simple-chat - Basic conversational agent
  • research-assistant - Multi-agent research team
  • memory-chat - Chat with persistent memory
  • rag-qa - Document Q&A with vector search
  • tool-integration - Agent with external tool access
  • collaborative - Multiple agents working together

Community & Resources

Documentation

Community

Stay Updated

Common Next Actions

After completing the getting started guide, most developers do one of these:

  1. Build a specific use case - Choose a template that matches your needs
  2. Learn the concepts - Read through Core Concepts
  3. Join the community - Ask questions in GitHub Discussions
  4. Contribute back - See Contributor Guide

Need Help?

Stuck on something? Here's how to get help:

  1. Check the Troubleshooting Guide - Common issues and solutions
  2. Search GitHub Discussions - Someone might have asked the same question
  3. Ask in Discussions - Our community is helpful and responsive
  4. Report Issues - If you found a bug, please report it

Ready to build something amazing? Choose your next step from the learning path above! 🚀

Released under the Apache 2.0 License.