1.7 KiB
1.7 KiB
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:
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:
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:
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:
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:
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:
flowchart LR
Proactive --> Scheduler
Proactive -->|LangChain| NLP