# AI Systems & Architecture
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<div class="callout-title">Overview</div>
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Deep dives into the design patterns and architectural approaches for modern AI systems.
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## Core Areas
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### Agent Frameworks
- Component design
- Integration patterns
- Extensibility models
- System boundaries
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### Cognitive Architectures
- Memory systems
- Attention mechanisms
- Planning systems
- Learning frameworks
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### System Design
- Scalability patterns
- Fault tolerance
- Security considerations
- Performance optimization
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### Implementation Patterns
- Tool integration
- API design
- State management
- Context handling
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## Key Concepts
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### Memory Systems
- Working memory
- Long-term storage
- Context management
- Information retrieval
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### Tool Integration
- External API access
- Command execution
- File system interaction
- Browser automation
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## Example Implementations
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- [[ai-agent-platforms-pharma-rd-comparison|AI Agent Platforms for Pharmaceutical R&D: Executive Summary]]
- [[agent-architectures-with-mcp|Agent Architectures with Model Context Protocol]]
- [[custom-modes-quick-start|Custom Mode Architecture in Roo Code]]
- [[guides/2025-03-21-cline-roo-code-quick-start|Cline System Design]]
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## Related Areas
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- [[AI Development & Agents/⌂ AI Development & Agents|AI Development & Agents]]
- [[Cutting-Edge AI/⌂ Cutting-Edge AI|Cutting-Edge AI]]
- [[Practical Applications/⌂ Practical Applications|Practical Applications]]
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