Openclaw Agents: Difference between revisions
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== Type of Agents (Openclaw) == | == Type of Agents (Openclaw) == | ||
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| | |+ Comparison of Multiple Agent Configuration Strategies in OpenClaw | ||
! Strategy !! Description !! Advantages !! Best Use Case | |||
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| '''Strategy ①: Specialized Individual Agents ([[Library]])''' Create separate .md files for each role, such as coder.md, tester.md, or reviewer.md. Simple to implement and very easy to manage individual roles. Quick, single-purpose tasks or simple automation. | |||
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| '''Strategy ②: Orchestrator Pattern (Manager-Worker)''' A "Manager" agent analyzes the user's request and uses sessions_spawn to delegate sub-tasks to specific agents. High autonomy; can handle complex, multi-step reasoning without human intervention. Complex software development or multi-stage project management. | |||
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| '''Strategy ③: Pipeline Configuration (Sequential)''' A chain of agents where the output of one agent serves as the input for the next (e.g., Scraper $\rightarrow$ Analyzer $\rightarrow$ Notifier). Provides a robust, automated workflow for continuous data processing. || Automated monitoring, data extraction, and reporting pipelines. | |||
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== HPCMATE Openclaw Agents == | == HPCMATE Openclaw Agents == | ||
Revision as of 12:57, 3 June 2026
Type of Agents (Openclaw)
| Strategy | Description | Advantages | Best Use Case |
|---|---|---|---|
| Strategy ①: Specialized Individual Agents (Library) Create separate .md files for each role, such as coder.md, tester.md, or reviewer.md. Simple to implement and very easy to manage individual roles. Quick, single-purpose tasks or simple automation. | |||
| Strategy ②: Orchestrator Pattern (Manager-Worker) A "Manager" agent analyzes the user's request and uses sessions_spawn to delegate sub-tasks to specific agents. High autonomy; can handle complex, multi-step reasoning without human intervention. Complex software development or multi-stage project management. | |||
| Strategy ③: Pipeline Configuration (Sequential) A chain of agents where the output of one agent serves as the input for the next (e.g., Scraper $\rightarrow$ Analyzer $\rightarrow$ Notifier). Provides a robust, automated workflow for continuous data processing. | Automated monitoring, data extraction, and reporting pipelines. |