7-Layer Architecture
The Seven Layers
Section titled “The Seven Layers”ARAL defines a clear hierarchy of seven layers, each with specific responsibilities:
┌─────────────────────────────────────────┐│ L7 Protocol Interoperability │ Cross-system communication├─────────────────────────────────────────┤│ L6 Orchestration Multi-agent coord │ Team coordination├─────────────────────────────────────────┤│ L5 Persona Identity & contract │ Agent personality├─────────────────────────────────────────┤│ L4 Reasoning Logic & decisions │ Decision making├─────────────────────────────────────────┤│ L3 Capabilities Available actions │ What agent can do├─────────────────────────────────────────┤│ L2 Memory State & context │ Information storage├─────────────────────────────────────────┤│ L1 Runtime Execution & resources│ Foundation└─────────────────────────────────────────┘Layer Details
Section titled “Layer Details”Layer 1: Runtime
Execution Environment
- Process management
- Resource allocation (CPU, memory)
- Platform abstraction
- Lifecycle management
- Error handling
Layer 2: Memory
State & Context Management
- Short-term memory (context window)
- Long-term memory (persistence)
- Vector stores for embeddings
- Knowledge graphs
- Session management
Layer 3: Capabilities
Available Actions
- Function/tool registry
- Parameter validation
- Execution interface
- Permission controls
- Rate limiting
Layer 4: Reasoning
Logic & Decision Making
- LLM integration
- Planning algorithms
- Goal management
- Chain-of-thought
- Self-reflection
Layer 5: Persona
Identity & Behavior
- Agent identity
- Personality traits
- Behavioral constraints
- Tone and style
- Ethical guidelines
Layer 6: Orchestration
Multi-Agent Coordination
- Team formation
- Workflow orchestration
- Load balancing
- Consensus mechanisms
- Fault tolerance
Layer 7: Protocol
Interoperability Standards
- Message formats
- Discovery protocols
- Authentication
- Version negotiation
- Cross-system APIs
Design Philosophy
Section titled “Design Philosophy”ARAL’s layered design provides:
- Modularity: Each layer can be developed and tested independently
- Reusability: Layers can be shared across different agent implementations
- Maintainability: Changes to one layer don’t cascade to others
- Security: Defense in depth with security at each boundary
- Interoperability: Standard interfaces enable mixing implementations
Note
The architecture is inspired by proven networking models (OSI, TCP/IP) adapted for AI agent systems.