orthogonal-agent-framework正交性Agent框架 - 模块化AI Agent设计系统。将Agent能力拆分为规划、执行、记忆、评估四个正交维度，实现可组合、可替换、可测试、可扩展的Agent架构。
Install via ClawdBot CLI:
clawdbot install LiXingxun/orthogonal-agent-frameworkGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 21, 2026
Ideal for academic or market research tasks requiring systematic data collection, analysis, and synthesis over time. The framework breaks down research into planning steps, executes searches, stores findings in memory, and evaluates information quality for iterative refinement.
Supports complex software projects by planning development phases, executing coding and testing steps, storing code history and decisions in memory, and evaluating outcomes for continuous improvement. Enables modular testing and replacement of components like execution tools.
Useful for handling multi-step customer inquiries that require planning response strategies, executing actions like ticket updates or database queries, storing interaction history in memory, and evaluating resolution effectiveness to enhance service quality over time.
Facilitates content strategy by planning campaign stages, executing content generation and distribution, storing audience feedback and performance data in memory, and evaluating engagement metrics to optimize future efforts through iterative feedback loops.
Assists medical professionals by planning diagnostic workflows, executing data analysis from patient records or sensors, storing case histories in memory for context, and evaluating diagnosis accuracy to improve decision-making and patient outcomes over time.
Offer the framework as a cloud-based service with subscription tiers, providing modular AI agent capabilities for businesses. Revenue comes from monthly or annual fees based on usage levels, number of modules, and support services, targeting enterprises needing scalable AI solutions.
Provide consulting services to integrate and customize the framework for specific client needs, such as adding new modules or replacing existing ones. Revenue is generated through project-based fees, training workshops, and ongoing maintenance contracts for tailored implementations.
Release the core framework as open-source to build a community and drive adoption, while offering premium enterprise support, advanced modules, and integration services for revenue. This model leverages community contributions and upsells to larger organizations requiring reliability and customization.
💬 Integration Tip
Start by integrating one module at a time, such as planning, to manage complexity and test interoperability before adding others like memory or evaluation for full functionality.
Scored Jun 19, 2026
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