Worker AGET
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A Worker AGET is an AGET agent that executes domain-specific tasks within a fleet under the governance of a Supervisor AGET.
- AKA: worker-aget, AGET worker, worker agent (AGET), Worker Agent Template.
- Context:
- It can typically execute domain tasks such as content enhancement, substrate diagnostics, or release management.
- It can typically operate under a Supervisor AGET's governance policy via the AGET Framework template-worker base template.
- It can typically maintain persistent memory and learning persistence scoped to its domain.
- It can typically inherit its base capability from the template-worker base template.
- It can typically register its worker identity with a fleet registry upon fleet enrollment.
- It can typically receive task assignments from a Supervisor AGET through a task dispatch protocol.
- It can typically report task completion status back to its Supervisor AGET via a status reporting channel.
- It can typically scope its working memory to a single domain boundary.
- It can typically persist its session state across work sessions.
- It can typically apply skill inventory items to specialized domain workflows.
- It can often integrate with an external substrate such as an EC2 instance or a GM-RKB wiki.
- It can often validate its work output against a quality control checklist.
- It can often escalate an unresolved task to its Supervisor AGET for human-in-the-loop review.
- It can often update its learning log after each task execution cycle.
- It can often coordinate with a peer Worker AGET within the same fleet.
- It can often accumulate domain expertise through repeated task iterations.
- It can often adapt its work strategy based on prior performance feedback.
- It can support wake-up protocol and wind-down protocol cycles for session state preservation.
- It can support memory checkpointing for work continuity.
- It can support audit trail generation for governance compliance.
- It can support capability discovery by its Supervisor AGET.
- It can support graceful degradation when an external substrate becomes unavailable.
- It can range from being a Basic Worker AGET to being an Advanced Worker AGET, depending on its skill inventory.
- It can range from being a Single-Task Worker AGET to being a Multi-Task Worker AGET, depending on its task scope.
- It can range from being a Stateless Worker AGET to being a Stateful Worker AGET, depending on its memory persistence.
- It can range from being a Supervised Worker AGET to being an Autonomous Worker AGET, depending on its governance level.
- It can range from being a Domain-Specialized Worker AGET to being a General-Purpose Worker AGET, depending on its domain breadth.
- ...
- Examples:
- Content-Oriented Worker AGETs, such as:
- A Content Enhancement AGET managing GM-RKB wiki page enhancements.
- A Documentation Worker AGET maintaining technical documentation.
- Infrastructure-Oriented Worker AGETs, such as:
- An IT Consultant AGET performing EC2 substrate diagnostics.
- A Release Management AGET coordinating software releases.
- Analysis-Oriented Worker AGETs, such as:
- A Data Analysis Worker AGET processing datasets.
- A Diagnostic Worker AGET running system health checks.
- ...
- Content-Oriented Worker AGETs, such as:
- Counter-Examples:
- A Supervisor AGET, which manages other AGETs rather than executing domain tasks directly.
- A Standalone AGET, which operates outside any fleet governance structure.
- A Generic AI Agent, which lacks the AGET Framework template inheritance and learning persistence mechanisms.
- A Chatbot Agent, which serves conversational interaction rather than domain-specific task execution.
- See: AGET Framework, Supervisor AGET, Fleet (AGET), AI Agent, template-worker (AGET), persistent memory, wake-up protocol, wind-down protocol, governance policy, L-doc.
References
- The Worker AGET concept is defined within the AGET Framework documentation as published at GM-RKB Worker AGET, describing worker-tier agents that execute domain-specific tasks under Supervisor AGET governance.