System Architecture
How Executive AI Works
A hierarchical agent system where an Executive AI layer manages, delegates, and supervises specialized agents. Full control over memory, context, and tool access.
Executive AI Agent
Goal understanding • Task decomposition • Agent coordination • Quality assurance
Code Agent
Research Agent
Data Agent
Ops Agent
Executive Agent
Responsibilities
The Executive Agent operates as the central coordination layer, handling high-level planning and oversight while specialized agents execute discrete tasks.
Task Decomposition
Breaks down complex goals into discrete, parallelizable sub-tasks that can be assigned to specialized agents.
Agent Supervision
Monitors agent execution in real-time, validates outputs, and intervenes when quality thresholds are not met.
Resource Allocation
Manages compute budgets, token limits, and execution priorities across the agent workforce.
Quality Assurance
Validates agent outputs against acceptance criteria before aggregating results and reporting completion.
Specialized Agents
Purpose-Built Executors
Each specialized agent is optimized for a specific domain, with curated tool access and domain-specific knowledge.
Code Agent
Capabilities
- Code generation
- Refactoring
- Code review
- Testing
Tool Access
- IDE integration
- Git operations
- Build systems
- Linters
Research Agent
Capabilities
- Information retrieval
- Synthesis
- Fact verification
- Citation
Tool Access
- Web search
- Document parsing
- Knowledge bases
- APIs
Data Agent
Capabilities
- Data querying
- Transformation
- Analysis
- Visualization
Tool Access
- SQL databases
- Data warehouses
- Python runtime
- BI tools
Ops Agent
Capabilities
- Workflow execution
- Automation
- Monitoring
- Alerting
Tool Access
- CI/CD pipelines
- Cloud APIs
- Monitoring systems
- Runbooks
Governance
Memory, Context, and Tool Control
The governance layer ensures safe, auditable, and controllable agent execution through explicit controls over what agents can access and do.
Memory Control
Each agent operates with scoped, persistent memory. The Executive controls what context each agent can access, enabling secure multi-tenant execution and preventing context pollution across tasks.
Context Management
Explicit context passing ensures agents receive only the information they need. The Executive manages context windows, handles summarization, and maintains coherent state across long-running workflows.
Tool Governance
Dynamic tool permissions prevent unauthorized actions. Each agent has an allowlist of tools with configurable rate limits, approval workflows, and automatic revocation on policy violations.