Agent Zero usesLayered taskingThe collaborative mechanism that works can be divided into three stages:
1. Mission analysis phase
The Master Intelligence receives user commands and carries them out:
- Complexity assessment: determining the need to decompose tasks
- Dependency analysis: determining the order of execution of subtasks
- Resource allocation: planning the tools and permissions needed
2. Sub-intelligence generation
The system dynamically creates specialized sub-intelligences:
- Each sub-intelligence has a specific function (e.g., data acquisition, code generation, etc.)
- Inheriting the contextual memory of the primary intelligence
- Obtaining clear instructions after segmentation
3. Results integration phase
The collaborative process follows:
- Parallel execution: synchronization of multiple subtasks
- Status Monitoring: Master Intelligence tracks the progress of all subtasks
- Result Aggregation: Automatically merge the output of sub-intelligences
Typical example: When a user requests to "analyze website traffic and generate a report", the system creates two sub-intelligences to handle data collection and visualization respectively, and finally synthesizes the full report.
This answer comes from the articleAgent Zero: An Open Source AI Intelligent Body Framework for Flexible Creation and Execution of TasksThe
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