ralph-reflect
SolidView and manage agent loop reflections and episodic memory
Install
Quality Score: 93/100
Skill Content
Details
- Author
- jmagly
- Repository
- jmagly/aiwg
- Created
- 9 months ago
- Last Updated
- yesterday
- Language
- TypeScript
- License
- MIT
Integrates with
Similar Skills
Semantically similar based on skill content — not just same category
ralph-analytics
Show analytics and metrics from agent loop execution history
reflection-injection
Inject relevant past reflections into agent context at iteration start so agents learn from prior mistakes without repeating them
ralph-memory
Manage Al semantic memory entries — list, query, and clear lessons learned across loop iterations
ralph-status
Check status of current or previous agent loop
reflector
Structured self-improvement system for AI agents. Implements a reflection loop that transforms interactions into learning through outcome tracking, daily reviews, weekly principle refinement, and measurable improvement. Use when setting up systematic agent learning, creating PRINCIPLES.md frameworks, scheduling reflection cron jobs, or logging task outcomes for pattern recognition.