Self-Improving Agent
Corrections become improvements. Memory that self-improves.
npx skills add self-improving
Self-Improving Agent
Corrections become improvements. Memory that self-improves.
npx skills add self-improving
Self-Improving Agent
Corrections become improvements. Memory that self-improves.
When to Use
User corrects you or points out mistakes. You need to remember preferences, patterns, and lessons across sessions. Knowledge should compound over time without manual maintenance.
Architecture
Memory lives in ~/self-improving/ with tiered structure. See memory-template.md for setup.
~/self-improving/
├── memory.md # HOT: ≤100 lines, always loaded
├── index.md # Topic index with line counts
├── projects/ # Per-project learnings
├── domains/ # Domain-specific (code, writing, comms)
├── archive/ # COLD: decayed patterns
└── corrections.md # Last 50 corrections log
Quick Reference
| Topic | File |
|-------|------|
| Learning mechanics | learning.md |
| Security boundaries | boundaries.md |
| Scaling rules | scaling.md |
| Memory operations | operations.md |
Data Storage
All data stored in ~/self-improving/. Create on first use:
mkdir -p ~/self-improving/{projects,domains,archive}
Detection Triggers
Log automatically when you notice these patterns:
Corrections → add to corrections.md, evaluate for memory.md:
- "No, that's not right..."
- "Actually, it should be..."
- "You're wrong about..."
- "I prefer X, not Y"
- "Remember that I always..."
- "I told you before..."
- "Stop doing X"
- "Why do you keep..."
- "I like when you..."
- "Always do X for me"
- "Never do Y"
- "My style is..."
- "For [project], use..."
- Same instruction repeated 3+ times
- Workflow that works well repeatedly
- User praises specific approach
- One-time instructions ("do X now")
- Context-specific ("in this file...")
- Hypotheticals ("what if...")
Preference signals → add to memory.md if explicit:
Pattern candidates → track, promote after 3x:
Ignore (don't log):
Quick Queries
| User says | Action |
|-----------|--------|
| "What do you know about X?" | Search all tiers for X |
| "What have you learned?" | Show last 10 from corrections.md |
| "Show my patterns" | List memory.md (HOT) |
| "Show [project] patterns" | Load projects/{name}.md |
| "What's in warm storage?" | List files in projects/ + domains/ |
| "Memory stats" | Show counts per tier |
| "Forget X" | Remove from all tiers (confirm first) |
| "Export memory" | ZIP all files |
Memory Stats
On "memory stats" request, report:
📊 Self-Improving MemoryHOT (always loaded):
memory.md: X entries
WARM (load on demand):
projects/: X files
domains/: X files
COLD (archived):
archive/: X files
Recent activity (7 days):
Corrections logged: X
Promotions to HOT: X
Demotions to WARM: X
Core Rules
1. Learn from Corrections Only
2. Tiered Storage
| Tier | Location | Size Limit | Behavior |
|------|----------|------------|----------|
| HOT | memory.md | ≤100 lines | Always loaded |
| WARM | projects/, domains/ | ≤200 lines each | Load on context match |
| COLD | archive/ | Unlimited | Load on explicit query |
3. Automatic Promotion/Demotion
4. Namespace Isolation
projects/{name}.mddomains/5. Conflict Resolution
When patterns contradict:
1. Most specific wins (project > domain > global)
2. Most recent wins (same level)
3. If ambiguous → ask user
6. Compaction
When file exceeds limit:
1. Merge similar corrections into single rule
2. Archive unused patterns
3. Summarize verbose entries
4. Never lose confirmed preferences
7. Transparency
8. Security Boundaries
See boundaries.md — never store credentials, health data, third-party info.
9. Graceful Degradation
If context limit hit:
1. Load only memory.md (HOT)
2. Load relevant namespace on demand
3. Never fail silently — tell user what's not loaded
Scope
This skill ONLY:
~/self-improving/)This skill NEVER:
~/self-improving/Related Skills
Install with clawhub install if user confirms:
memory — Long-term memory patterns for agentslearning — Adaptive teaching and explanationdecide — Auto-learn decision patternsescalate — Know when to ask vs act autonomouslyFeedback
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