# Strategic Goals for AI Agent Platform

## Goal-1: Core Orchestration Engine
**Success Criteria:**
- Implements task dispatcher with plugin architecture
- Role management integration with RBAC engine
- <300ms local command response time
**Dependencies:** None  
**Modularity:**  
```mermaid
flowchart LR
    Core[Orchestrator] -->|API| MCP
    Core -->|API| Interfaces
```

## Goal-2: MCP Framework v1
**Success Criteria:**
- Service discovery protocol implementation
- 3 sample providers (Brave Search, Context7, Puppeteer)
- Horizontal scaling support
**Dependencies:** Goal-1  
**Isolation:**  
```mermaid
flowchart LR
    MCP -->|SSE| Brave
    MCP -->|Stdio| Context7
```

## Goal-3: Interface Foundation
**Success Criteria:**
- Base CLI with Typer integration
- FastAPI core with auth layer
- WebSocket event bus
**Dependencies:** Goal-1  
**Decoupling:**  
```mermaid
flowchart LR
    Interfaces --> CLI
    Interfaces --> Web
    Interfaces --> API
```

## Goal-4: Memory System v1
**Success Criteria:**
- SQLite operational with encryption
- Audit logging framework
- PostgreSQL migration path
**Dependencies:** Goal-2, Goal-1-Task-6
**Security:**  
```mermaid
flowchart LR
    Memory -->|AES-256| SQLite
    Memory -->|TLS| PostgreSQL
```

## Goal-5: Security Implementation
**Success Criteria:**
- Role inheritance system
- Secrets management service
- Automated vulnerability scanning
**Dependencies:** Goal-1, Goal-4  
**Integration:**  
```mermaid
flowchart LR
    Security --> RBAC
    Security --> Vault
```

## Goal-6: Proactive Engine
**Success Criteria:**
- Scheduled task system
- Event-driven automation
- NLP integration baseline
**Dependencies:** Goal-3, Goal-4  
**Innovation:**  
```mermaid
flowchart LR
    Proactive --> Scheduler
    Proactive -->|LangChain| NLP