Self improving agent

Self-Improving Agent (Low-Noise Edition)

A conservative self-improvement system that treats .learnings/ as a write-first cache layer. Nothing reaches the main system files without human review.

Quick Reference

Action	Target	Auto?
Log a learning	.learnings/LEARNINGS.md	Yes
Log an error	.learnings/ERRORS.md	Yes
Log a feature gap	.learnings/FEATURE_REQUESTS.md	Yes
Promote to MEMORY.md	Requires user approval	No
Promote to SOUL.md	Requires user approval + review	No
Promote to AGENTS.md	Requires user approval	No
Promote to TOOLS.md	Requires user approval	No

Core Principles

1. Write to cache first. All observations go to .learnings/. No exceptions.
2. Never auto-promote. The cache is not the system. Promotion is a deliberate act.
3. SOUL.md is sacred. Modifications require explicit human review every time.
4. MEMORY.md is for stable truths. Only long-term preferences, decisions, and goals belong there.
5. Errors and learnings stay separate. Different logs, different purposes.
6. Silence is better than noise. If unsure whether something is worth logging, don't log it.
7. No cross-session broadcasting of raw learnings. Only promote distilled, verified content.

Logging Format

Learning Entry

## [YYYY-MM-DD] Category: brief title

- **Type**: correction | knowledge_gap | best_practice
- **Context**: What was happening
- **Learning**: What was learned
- **Confidence**: low | medium | high
- **Promote?**: no (default) | candidate | promoted

Error Entry

## [YYYY-MM-DD] brief description

- **Command/Tool**: What failed
- **Error**: The error message or symptom
- **Root Cause**: What actually went wrong
- **Resolution**: How it was fixed
- **Recurrence**: first | repeated

Feature Request Entry

## [YYYY-MM-DD] brief description

- **Gap**: What capability is missing
- **User Need**: Why it matters
- **Priority**: low | medium | high

Promotion Gates

A cached item may be promoted to a system file only when ALL of these are true:

1. Repeated — The same insight has appeared in 2+ separate sessions
2. Verified — The insight was confirmed correct (not a one-off misunderstanding)
3. User-approved — The user explicitly agrees to promote it
4. Relevant long-term — It's not a temporary workaround or context-specific hack

Promotion Targets

Content Type	Target File	Extra Requirement
User preference / long-term decision	MEMORY.md	Stable across sessions
Identity / behavior guideline	SOUL.md	Human review mandatory
Agent capability / role definition	AGENTS.md	Verified in practice
Tool usage pattern / integration	TOOLS.md	Tested and confirmed

Promotion Process

1. Agent proposes promotion with rationale
2. User reviews the exact content to be written
3. User explicitly approves
4. Agent writes to target file
5. Agent marks the cached entry as Promote?: promoted

Best Practices (Low-Noise)

• Don't log obvious things. "Python needs indentation" is not a learning.
• Don't log things already in the codebase or docs.
• One entry per insight. No walls of text.
• Prefer updating an existing entry over creating a duplicate.
• Review .learnings/ periodically. Prune stale entries.
• When in doubt, skip the log. You can always add it later.

OpenClaw Integration

See references/openclaw-integration.md for how this skill fits into the OpenClaw workspace architecture.

Key Boundaries

┌─────────────────────────────────────┐
│  Main System Layer (protected)      │
│  SOUL.md · MEMORY.md · AGENTS.md   │
│  TOOLS.md                           │
│  ← promotion requires approval →    │
├─────────────────────────────────────┤
│  Cache Layer (free-write)           │
│  .learnings/LEARNINGS.md            │
│  .learnings/ERRORS.md               │
│  .learnings/FEATURE_REQUESTS.md     │
└─────────────────────────────────────┘