self-evalutaed-agent

Automatically detects errors, researches solutions, executes improvements, and measures impact while remembering effective procedures for continuous self-imp...

Self-Improving Agent

Description

Self-improving agent system that learns from its own errors. Automatically detects issues, researches solutions, and implements improvements.

Based on production-ready patterns: Reflection, PEV (Plan-Execute-Verify), and Meta-Controller architectures.

Features

• Auto-Trigger: Automatically runs when new errors are detected
• Topic Selection: Analyzes error patterns and selects high-priority topics
• Impact Measurement: Records before/after metrics to measure improvement effectiveness
• Procedural Memory: Remembers working commands/scripts between sessions

What It Does

1. Error Detection: Monitors cron jobs, circuit breakers, and error logs
2. Topic Selection: Chooses research topics based on error impact
3. Research: Generates research files with improvement recommendations
4. Backlog: Creates high-impact tasks in backlog
5. Execution: Backlog Agent PM executes tasks sorted by impact
6. Measurement: Records before/after to measure effectiveness
7. Learning: Remembers what worked for future reference

Architecture

text

Errors → Auto-Trigger → Topic Selector → Research → Backlog → Agent PM
                                              ↓                    ↓
                                      Impact Measurement ← Procedural Memory

Usage

Run Full Cycle

bash

python3 skills/self-improving-agent/scripts/self_improvement_cycle.py

Check Errors Only

bash

python3 skills/self-improving-agent/scripts/topic_selector.py

Record Impact

bash

python3 skills/self-improving-agent/scripts/impact_measurement.py \
  --record \
  --task "Fix cron timeout" \
  --before '{"error_count": 5}' \
  --after '{"error_count": 0}'

Search Procedural Memory

bash

python3 skills/self-improving-agent/scripts/procedural_memory.py --search "backup"

Cron Integration

Add to your cron jobs:

json

{
  "name": "Self-Improvement",
  "schedule": "0 10 * * *",
  "command": "python3 skills/self-improving-agent/scripts/self_improvement_cycle.py"
}

Requirements

• Python 3.10+
• OpenClaw workspace at /root/.openclaw/workspace
• Write access to memory/ directory

Files

• scripts/auto_trigger.py - Auto-triggers on new errors
• scripts/impact_measurement.py - Measures improvement impact
• scripts/procedural_memory.py - Stores working procedures
• scripts/self_improvement_cycle.py - Main orchestrator
• scripts/topic_selector.py - Selects topics by priority

Created By

• Based on production patterns: Reflection, PEV, Meta-Controller
• Tested in production environment
• Ready for ClawHub publication