self-improving

name	self-improving
description	Capture learnings, errors, and corrections from conversations for continuous self-improvement. Use when: completing a complex task, encountering an error and fixing it, learning a user preference, or discovering a better approach.
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Self-Improving Agent

Automatically capture insights from task execution to improve future performance.

When to Record Learnings

Record a learning when:

1. Error → Fix pattern: You encountered an error and found a working solution
2. User correction: The user corrected your approach or output
3. Preference discovery: You learned the user prefers a specific style, format, or tool
4. Optimization found: You discovered a faster or better way to accomplish something
5. Tool discovery: You found a tool combination that works well for a specific domain

How to Record

Use the memory_add_fact tool to store learnings as structured facts:

Type: learning
Content: "When doing X, prefer Y because Z"
Confidence: high|medium|low

Categories

• tool-pattern: Effective tool combinations or sequences
• error-recipe: Common errors and their fixes
• user-preference: User-specific preferences (style, format, language)
• performance: Faster approaches or shortcuts discovered
• domain-knowledge: Facts learned about the user's project/domain

Anti-Patterns (Do NOT Record)

• Obvious or trivial facts
• Temporary state (file paths, current date)
• Speculative guesses without evidence
• Duplicate or contradictory existing learnings