Skip to main content

AgentMap Guides

Comprehensive documentation for building sophisticated AI workflows with AgentMap. From fundamental concepts to advanced enterprise patterns, these guides will take you from beginner to expert.

📚 Guide Sections​

🎓 Learning Paths​

Master AgentMap fundamentals and core concepts

Start your AgentMap journey with structured learning paths designed to take you from beginner to advanced user. Learn essential concepts, understand workflow patterns, and build your first AI workflows.

What You'll Learn:

  • AgentMap fundamentals and core concepts
  • Workflow design patterns and best practices
  • State management and data flow
  • CSV schema and configuration
  • Hands-on tutorials and practical examples

Perfect For:

  • Developers new to AgentMap
  • Understanding workflow architecture
  • Building your first AI workflows
  • Learning essential patterns and techniques

Time Investment: 1-3 hours depending on path chosen

🏗️ Development​

Advanced features for building production-grade systems

Deep dive into sophisticated AgentMap features for building enterprise-ready AI workflows. Learn memory management, orchestration patterns, custom agent development, and advanced integration techniques.

What You'll Learn:

  • Memory management and conversation AI
  • Dynamic orchestration and intelligent routing
  • Custom agent development patterns
  • Service injection and dependency management
  • Advanced integrations and enterprise patterns

Perfect For:

  • Building sophisticated AI workflows
  • Custom agent and service development
  • Enterprise integration requirements
  • Advanced memory and orchestration needs

Time Investment: 2-8 hours depending on complexity

🚀 Deploying​

Production deployment, monitoring, and operational excellence

Learn how to deploy, monitor, and maintain AgentMap workflows in production environments. Master testing strategies, performance optimization, security patterns, and operational best practices.

What You'll Learn:

  • Production deployment strategies
  • Comprehensive monitoring and alerting
  • Testing patterns and quality assurance
  • Performance optimization techniques
  • Security and compliance requirements

Perfect For:

  • Production deployment requirements
  • Enterprise operations teams
  • Performance and scalability needs
  • Operational excellence and reliability

Time Investment: 3-6 hours for full operational readiness

⚡ Performance​

Performance optimization, cache tuning, and system efficiency

Advanced performance optimization strategies through intelligent cache management, system tuning, and development workflow optimization for maximum AgentMap efficiency.

What You'll Learn:

  • Cache-based performance optimization (20-100x improvements)
  • Development workflow efficiency optimization
  • System-level performance tuning strategies
  • Performance monitoring and analysis techniques
  • Environment-specific optimization approaches

Perfect For:

  • Performance optimization requirements
  • Development team efficiency improvement
  • System performance tuning and analysis
  • Large-scale deployment optimization

Time Investment: 1-3 hours for significant performance improvements

🎯 Choose Your Path​

New to AgentMap?​

Start with Learning Paths to understand the fundamentals and build your first workflow in under an hour.

Ready to Build Advanced Workflows?​

Explore Development for sophisticated features like memory management, orchestration, and custom agents.

Deploying to Production?​

Review Deploying for monitoring, testing, security, and operational best practices.

Managing System Performance?​

Explore Performance for cache optimization and performance tuning strategies.

🚀 Quick Start Options​

5-Minute Quick Start​

Get up and running immediately:

  1. Quick Start Guide - Build your first workflow
  2. Weather Bot Tutorial - Complete working example
  3. Core Features - Overview of capabilities

30-Minute Deep Dive​

Understand core concepts:

  1. Understanding Workflows - Workflow fundamentals
  2. State Management - Data flow patterns
  3. CSV Schema - Configuration reference

Production-Ready Setup​

Complete production deployment:

  1. Agent Development - Custom agent patterns
  2. Service Injection - Enterprise architecture
  3. Execution Tracking - Production monitoring

📖 Complete Guide Index​

Learning Paths​

Development​

Deployment​

  • Monitoring - Execution tracking and performance analysis
  • Deployment - Production deployment strategies
  • Testing - Quality assurance and testing patterns

Performance​

  • Performance Optimization - Cache-based performance improvements
  • Development Efficiency - Workflow optimization for faster iterations (coming soon)
  • System Tuning - Resource optimization and scaling strategies (coming soon)

🛠️ Developer Tools​

Command Line Interface​

# Validate workflow configuration
agentmap validate --csv workflow.csv

# Visualize workflow structure
agentmap graph --csv workflow.csv --output workflow.png

# Run with comprehensive debugging
agentmap run --csv workflow.csv --debug --log-level DEBUG

Code Generation​

# Generate custom agent template
agentmap scaffold --agent CustomAgent

# Generate service interface
agentmap scaffold --service CustomService

# Generate complete project structure
agentmap scaffold --project MyProject

Testing and Quality​

# Run workflow test suite
agentmap test --csv workflow.csv --test-cases tests.json

# Performance benchmarking
agentmap benchmark --csv workflow.csv --iterations 100

# Memory and performance profiling
agentmap profile --csv workflow.csv --profile-memory

🎓 Learning Recommendations​

For AI/ML Engineers​

  1. Learning Paths - Understand AgentMap concepts (30 min)
  2. Memory Management - Advanced AI patterns (45 min)
  3. Custom Agents - Specialized AI development (60 min)
  4. Production Deployment - Scale AI workflows (45 min)

For Software Developers​

  1. Learning Paths - Core workflow concepts (30 min)
  2. Agent Development - Development patterns (45 min)
  3. Service Injection - Architecture patterns (30 min)
  4. Testing Patterns - Quality assurance (45 min)

For DevOps/Operations​

  1. Core Concepts - Understanding AgentMap (20 min)
  2. Deployment Guide - Production deployment (60 min)
  3. Cache Management - System administration and cache management (45 min)
  4. Performance Optimization - Performance tuning and optimization (30 min)
  5. Monitoring Setup - Operational excellence (45 min)

For Product Managers​

  1. AgentMap Overview - Capabilities and benefits (15 min)
  2. Example Workflows - Real-world applications (30 min)
  3. Advanced Features - Enterprise capabilities (20 min)
  4. Production Considerations - Deployment requirements (20 min)

🌟 Best Practices Summary​

Workflow Design​

  • Start with simple linear flows and add complexity incrementally
  • Always include comprehensive error handling and recovery paths
  • Use meaningful names that clearly describe agent functions
  • Design workflows with testability and maintainability in mind

Development Practices​

  • Follow the Agent Development Contract for consistency
  • Implement proper dependency injection and service patterns
  • Write comprehensive tests for all custom functionality
  • Use structured logging and error handling throughout

Operational Excellence​

  • Implement monitoring and alerting before production deployment
  • Use environment-specific configuration management
  • Plan for graceful degradation and failover scenarios
  • Document all operational procedures and troubleshooting guides

📊 Quick Reference​

Essential CSV Columns​

ColumnPurposeRequiredExample
graph_nameWorkflow identifier✅WeatherBot
NodeAgent name✅GetWeather
agent_typeType of agent✅openai
next_on_successNext agent on success✅FormatResponse
input_fieldsRequired input data✅location
output_fieldCreated output data✅weather_data

Common Agent Types​

  • input - Collect user input and initialize workflows
  • openai / claude / gemini - Language model processing and generation
  • custom:ClassName - Custom business logic and specialized processing
  • echo - Pass-through formatting and data transformation
  • branching - Conditional routing and decision making

State Management Patterns​

  • Use | to separate multiple input fields: location|date|options
  • Specify clear output field names for each agent
  • Keep state minimal and focused for optimal performance
  • Use descriptive field names that indicate data purpose

🤝 Community and Support​

Getting Help​

Contributing​

Community Resources​

🎯 Next Steps​

Choose your next step based on your goals:

Learn AgentMap Fundamentals​

📚 Start Learning Paths →

Build Advanced Workflows​

🏗️ Explore Development →

Deploy to Production​

🚀 Review Deployment Guide →

Optimize Performance​

⚡ Explore Performance Guide →

Manage Cache & Operations​

⚙️ Check Cache Management →

See AgentMap in Action​

🎮 Try Tutorials →

These guides are continuously updated based on community feedback and real-world usage patterns. We encourage you to share your experiences and contribute improvements!

Last updated: July 2, 2025