Build Intelligent
Agents
The universal 7-layer architecture for building interoperable, secure, and production-ready AI agents
From Runtime to Protocol
ARAL provides clear separation of concerns, security by design, and interoperability standards. Every layer has defined responsibilities, interfaces, and security requirements.
Protocol
TOPMCP, REST, WebSocket, gRPC — Interoperability layer
Orchestration
Multi-agent coordination, workflow management
Persona
COREIdentity, behavioral contracts, hot-swapping
Reasoning
Logic, planning, decision-making engine
Capabilities
Tools, skills, actions, available functions
Memory
State, context, retrieval, storage systems
Runtime
BASEExecution environment, resources, sandbox
aral:
version: "2.0.0"
architecture: 7-layer
# L7: Protocol Layer
protocol:
mcp: enabled
rest: enabled
websocket: enabled
# L6: Orchestration
orchestration:
mode: hierarchical
max_agents: 100
# L5: Persona (CORE)
persona:
id: "enterprise-analyst"
hot_swappable: true
identity_binding: ed25519
# L4: Reasoning
reasoning:
engine: multi-llm
planning_depth: 5
# L3: Capabilities
capabilities:
tools: [search, analyze, execute]
skills: [coding, reasoning]
# L2: Memory
memory:
type: hybrid
retrieval: vector+graph
# L1: Runtime
runtime:
sandbox: secure
resources: auto-scaleIdentity is Behavior
Revolutionary paradigm where persona defines everything—capabilities, ethics, memory, and multi-agent coordination.
Persona IS the Agent
Not a configuration file. Not a prompt template. The persona constitutes the agent's identity, behavioral constraints, and ethical boundaries.
- Constitutional behavioral contracts
- Immutable ethical constraints
- Self-describing capabilities
Hot-Swapping
Transform agent identity at runtime without restart. Switch from analyst to creative persona in milliseconds.
persona.switch("creative-v2") → Instant transformation Multi-Persona Orchestration
6 coordination modes for persona collectives. From hierarchical command to democratic voting and emergent swarm behavior.
Cryptographic Identity
Every persona bound to Ed25519 cryptographic identity. Verifiable, non-repudiable, and tamper-proof agent authentication.
Beyond Single Models
Intelligent routing, weighted blending, and consensus strategies across GPT, Claude, Gemini, and custom models.
Intelligent Routing
Automatic model selection based on task complexity, latency requirements, and cost constraints. Route coding tasks to Claude, creative writing to GPT.
LLM Ponderation
Weighted blending for optimal results. Configure your ensemble once, let the orchestrator handle the rest.
5 Merge Strategies
From simple voting to sophisticated consensus mechanisms. Choose the right strategy for your use case.
multi_llm:
strategy: weighted_blend
models:
gpt-4:
weight: 0.8
temperature: 0.7
max_tokens: 2048
claude-3:
weight: 0.2
temperature: 0.3
reasoning: extended
routing:
logic_tasks: claude-3
creative_tasks: gpt-4
fallback: gpt-3.5
# Automatic failover & retry
resilience:
timeout: 30s
retries: 3
circuit_breaker: truePrivacy & GDPR Compliance
ARAL includes comprehensive GDPR compliance capabilities through the ARAL-PRIVACY-1.0 specification. Full implementation of all data subject rights.
Right to Access
Request and export all personal data processed by the agent
Right to Rectification
Correct inaccurate or incomplete personal data
Right to Erasure
"Right to be Forgotten" — complete data deletion
Right to Data Portability
Export in machine-readable formats (JSON, XML)
Right to Restriction
Limit processing operations under specific conditions
Right to Object
Object to specific processing or direct marketing
Right to Withdraw Consent
Revoke previously given consent at any time
Right to Human Review
Challenge automated decisions and obtain human intervention
Right Not to be Profiled
Opt-out of automated profiling and decision-making
Ready to build the
future of AI agents?
Join the ARAL community and start building interoperable, secure, and production-ready AI agents today.