Floop
C+ 71 completedPipeline State
completedPipeline Metadata
AI Prompt
Catalog Information
floop is a tool that captures corrections made to AI agents, extracts reusable behaviors, and activates them in the right context.
Description
floop is an innovative solution for persistent memory in AI coding agents. It learns from corrections, extracts reusable behaviors, and activates them in context. This approach uses spreading activation, inspired by cognitive science, to build an associative 'blast radius' around current work. The tool provides features such as learning from corrections, context-aware activation, spreading activation, token-optimized storage management, and integration with AI tools via the Model Context Protocol.
الوصف
هو أداة تعلم الذكريات المستمرة في एजENTS الكودية للذكاء الاصطناعي. يتعلم من التصحيحات، ويستخرج السلوكيات المكررة، وينشطها في السياق المناسب. تستخدم هذه الطريقة تفاعل التشتت، ملهمة من العلوم النفسية، لإنشاء منطقة انفجار ارتباطية حول العمل الحالي. توفر الأداة سمات مثل التعلم من التصحيحات، تنشيط السياق المعرفي، تفاعل التشتت، تخزين تلقائي للذاكرة، وإدارة تخزين السلوكيات، ودمج أدوات الذكاء الاصطناعي عبر بروتوكول سياق النموذج.
Novelty
9/10Tags
Technologies
Claude Models
Quality Score
Strengths
- CI/CD pipeline configured (github_actions)
- Good test coverage (82% test-to-source ratio)
- Code linting configured (golangci-lint)
- Consistent naming conventions (snake_case)
- Good security practices \u2014 no major issues detected
- Properly licensed project
Weaknesses
- 5 files with critical complexity need refactoring
- Potential hardcoded secrets in 1 files
- 3550 duplicate lines detected \u2014 consider DRY refactoring
- 4 'god files' with >500 LOC need decomposition
Recommendations
- Move hardcoded secrets to environment variables or a secrets manager
Security & Health
Languages
Frameworks
Concepts (2)
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