The Complete Guide to Building AI Agent Systems in Go

AgenticGoKit is a production-ready Go framework for building intelligent agent workflows with dynamic tool integration, multi-provider LLM support, and enterprise-grade patterns.

New to AgenticGoKit? Start here:

1. Build Your First Agent - Working agent in 5 minutes
2. Core Concepts - Understand the fundamentals
3. Examples - Real-world code patterns

v1beta is the modern, production-ready API for AgenticGoKit. All new projects should use v1beta.

• Getting Started Guide - Install and build your first agent
• Core Concepts - Agents, workflows, memory, tools
• Configuration - Environment setup and options
• Quick Reference - Common patterns and snippets

Working code for common patterns:

• Basic Agent - Simple chat agent
• Streaming Agent - Real-time streaming responses
• Sequential Workflow - Step-by-step pipeline
• Parallel Workflow - Concurrent execution
• DAG Workflow - Complex dependencies
• Loop Workflow - Iterative refinement
• Subworkflows - Nested workflows
• Memory & RAG - Knowledge bases
• Custom Handlers - Custom business logic

• Memory & RAG - Memory providers, vector search, knowledge bases
• Tool Integration - Adding tools to agents
• Custom Handlers - Implement custom logic
• Error Handling - Robust error patterns
• Performance - Optimization and tuning
• Troubleshooting - Common issues and solutions

• Migration Guide - Migrate from legacy APIs to v1beta
• API Versioning - Version strategy and stability

Perfect for developers new to AgenticGoKit:

1. Build Your First Agent - 5-minute start
2. Basic Agent Example - Complete working code
3. Core Concepts - Understanding the framework
4. Configuration Guide - Setup and options

Build production-ready systems:

1. Streaming Agent - Real-time responses
2. Sequential Workflow - Multi-step pipelines
3. Memory & RAG - Add knowledge capabilities
4. Tool Integration - Connect external tools

Master complex patterns:

1. Parallel Workflows - Concurrent execution
2. DAG Workflows - Complex dependencies
3. Subworkflows - Nested patterns
4. Performance Tuning - Optimization strategies

The following documentation covers legacy APIs and the agentcli tool. For new projects, use v1beta documentation instead.

Build production systems for:

• Customer Support: Multi-agent systems with memory and tool integration
• Content Generation: Sequential and parallel workflows for content creation
• Research Systems: RAG-powered agents with knowledge base access
• Data Processing: ETL pipelines with validation and transformation
• Code Analysis: Iterative refinement loops for quality assurance

Built from the ground up in Go for maximum performance and reliability:

• Goroutine-based concurrency for parallel workflows
• Minimal memory footprint and fast startup times
• Native compilation for deployment anywhere

Enterprise-grade features out of the box:

• Comprehensive error handling and recovery
• Structured logging and observability hooks
• Memory management and resource cleanup
• Type-safe APIs with full IDE support

Work with any LLM provider:

• OpenAI (GPT-4, GPT-3.5)
• Azure OpenAI
• Ollama (local models)
• Anthropic Claude
• Custom providers via simple interface

Build exactly what you need:

• Single agents or complex multi-agent systems
• Sequential, parallel, or DAG-based workflows
• Custom handlers for business logic
• Pluggable memory and tool providers

go get github.com/agenticgokit/agenticgokit/v1beta

Requirements:

• Go 1.21 or higher
• LLM provider API key (OpenAI, Azure, etc.) or local Ollama installation

Want to contribute to AgenticGoKit? See our Contributor Documentation:

• Contributor Guide - Development setup and workflow
• Code Style - Coding standards and conventions
• Testing - Testing strategies and guidelines
• Adding Features - Feature development process
• Documentation Standards - Writing great docs

# Quick start for contributors
git clone https://github.com/agenticgokit/agenticgokit.git
cd agenticgokit
go mod tidy
go test ./...

• GitHub Discussions - Ask questions and share ideas
• Issues - Report bugs and request features
• Contributing - How to contribute

• Changelog - Release notes and version history
• Roadmap - Planned features and improvements
• Design Documents - Architecture and design decisions

⭐ Star us on GitHub | 🚀 Get Started | 📖 Examples