🧊 IceCube Evolution

The self-improvement engine for AI agents.

Not "learn when asked." Not "improve when bugs happen." Just constant, automatic evolution.

Why IceCube Evolution?

The problem:

• Agents make the same mistakes repeatedly
• Good patterns aren't captured
• No systematic improvement
• Improvement requires human intervention

The solution:

• Log every mistake automatically
• Capture every success pattern
• Run improvement loops on schedule
• Evolve without waiting for bugs

The result:

• Mistakes decrease over time
• Success patterns compound
• Agent gets better daily
• Zero manual intervention needed

Architecture

Three Files, One Loop

mistake_log.md:

# Mistake Log

## ML-2026-03-17-001
- Date: 2026-03-17 14:32
- Context: Task dispatch
- Mistake: Did not check unclosed_work.yaml before starting new task
- Impact: Created duplicate task, wasted resources
- Fix: Add mandatory unclosed_work check to startup sequence
- Status: fixed

success_patterns.md:

# Success Patterns

## SP-2026-03-17-001
- Date: 2026-03-17 15:45
- Context: Memory retrieval
- Pattern: Run memory_search before acting on any past-context task
- Result: Correct context loaded, no guessing
- Applicability: Any task referencing previous work

improvement_queue.md:

# Improvement Queue

## IQ-2026-03-17-001
- Type: rule_update
- Source: ML-2026-03-17-001
- Action: Add unclosed_work check to AGENTS.md startup
- Priority: high
- Status: pending

The Evolution Loop

[Mistake detected] → Log to mistake_log.md → Generate improvement → Queue
[Success detected] → Log to success_patterns.md → Pattern captured → Ready for reuse
[Heartbeat triggers] → Process queue → Apply improvements → Verify → Close loop

Setup

1. Create Evolution Files

mkdir -p ~/.openclaw/workspace/memory/system
touch ~/.openclaw/workspace/memory/system/mistake_log.md
touch ~/.openclaw/workspace/memory/system/success_patterns.md
touch ~/.openclaw/workspace/memory/system/improvement_queue.md
touch ~/.openclaw/workspace/memory/system/evolution_log.md

2. Add to AGENTS.md

## Evolution Protocol

### Mistake Logging (Immediate)
When you make a recoverable error:
1. Log to mistake_log.md immediately
2. Do not wait for human to notice
3. Include: context, mistake, impact, fix

### Success Capture (Immediate)
When something works better than expected:
1. Log to success_patterns.md
2. Include: context, pattern, result, applicability

### Improvement Processing (Weekly via Heartbeat)
1. Scan mistake_log for unfixed entries
2. Scan success_patterns for unapplied patterns
3. Generate concrete improvement actions
4. Apply and verify

3. Configure Heartbeat Integration

## Evolution Checks (Heartbeat)

### Daily
- [ ] Scan mistake_log for new unfixed entries
- [ ] Scan success_patterns for new patterns
- [ ] Update evolution_log.md

### Weekly
- [ ] Process improvement_queue
- [ ] Apply accumulated improvements
- [ ] Verify fixes work
- [ ] Generate evolution summary

Trigger Conditions

Automatic Mistake Logging

• Repeated fallback: Same fallback triggered 3+ times
• Repeated rollback: Same rollback pattern 2+ times
• User correction: User corrects same thing 2+ times
• Task failure: Task marked failed without resolution
• Context loss: Important info lost due to compaction

Automatic Success Capture

• First-time success: Complex task completed without issues
• Efficiency gain: Task done faster than previous similar task
• User praise: User explicitly says "good" or "thanks"
• Zero-error cycle: Multi-step process with no errors
• Novel solution: Creative approach that worked

Improvement Generation

From mistakes:

• Rule update → AGENTS.md / SOUL.md
• Workflow change → procedural memory
• Tool addition → skill install
• Config change → openclaw.json

From successes:

• Pattern promotion → MEMORY.md
• Procedure capture → memory/procedural/
• Tool recommendation → TOOLS.md
• Best practice → skill SKILL.md

Improvement Types

Verification Loop

Every improvement must verify:

1. Apply — Make the change
2. Test — Run relevant task
3. Verify — Confirm improvement worked
4. Close — Mark as fixed/applied in queue

If verification fails:

• Log new mistake
• Rollback if needed
• Queue alternative improvement

Metrics

Track in evolution_log.md:

# Evolution Log

## Week 2026-03-17 to 2026-03-23
- Mistakes logged: 5
- Mistakes fixed: 4
- Successes captured: 7
- Improvements applied: 6
- Improvements verified: 5
- Pending improvements: 1

## Trend
- Mistake rate: decreasing (-20% vs last week)
- Success rate: increasing (+15% vs last week)
- Improvement velocity: stable

## Top Improvements This Week
1. Added unclosed_work check (reduced duplicate tasks)
2. Captured memory_search pattern (reduced guessing)
3. Installed xiaohongshu skill (enabled new capability)

Anti-Patterns

❌ Don't:

• Wait for user to notice mistakes
• Log mistakes without fixes
• Apply improvements without verification
• Let improvement queue grow unbounded
• Skip evolution during busy periods

✅ Do:

• Log immediately when mistake happens
• Every mistake has a concrete fix
• Every improvement has verification steps
• Process queue weekly, don't accumulate
• Evolution never stops, only pauses for urgent tasks

Integration with IceCube Suite

icecube-memory: Evolution logs stored in memory structure icecube-heartbeat: Heartbeat triggers evolution processing icecube-ops: Ops improvements feed into evolution queue

Example Evolution Cycle

Monday:

• Task dispatch mistake → logged
• Memory retrieval success → captured
• 2 improvements queued

Wednesday (Heartbeat):

• Process queue
• Apply rule update to AGENTS.md
• Apply pattern to MEMORY.md
• Verify both work

Friday:

• Weekly evolution summary
• Metrics show mistake rate down
• Success rate up
• 2 new improvements pending

License

MIT — Use freely.

Mistakes are fuel. Successes are patterns. Evolution is the engine.