A comprehensive, open-source collection of AI agent design patterns, techniques, and best practices for building intelligent systems.
To democratize AI agent development by providing clear, actionable design patterns that help developers build more reliable, scalable, and intelligent agentic systems. We believe that well-designed patterns are the foundation of robust AI applications.
Proven patterns for prompt chaining, routing, parallelization, reflection, and advanced agentic workflows that solve real-world problems.
Live demonstrations, code playgrounds, and visual flows that help you understand how each pattern works in practice.
Implementation guidelines, common pitfalls to avoid, and optimization strategies for each pattern and technique.
Real-world tested patterns with performance considerations, scalability insights, and deployment strategies.
Clarity over Complexity: Every pattern is explained with clear examples and straightforward implementations.
Practice over Theory: Focus on actionable techniques that work in real applications, not academic abstractions.
Community Driven: Open-source patterns that evolve with the AI development community's needs and discoveries.
Sequential and parallel prompt execution patterns
Dynamic request routing and load balancing
Concurrent processing and synchronization
Self-improvement and critique patterns
External system integration patterns
Collaborative agent architectures
Context and state management strategies
Goal decomposition and execution patterns