Agent Self-Improvement System

Most AI agents forget everything between sessions. They repeat the same mistakes, ignore corrections, and never compound their learning.

This is a production-tested system that gives your agent persistent memory for its own failures. When something breaks, when you correct it, when knowledge turns out to be wrong — the agent captures it, tracks it, and promotes durable patterns into your workspace files so the fix sticks permanently.

Built from 6 months of running multi-agent production systems. Every rule exists because an agent broke something and we got tired of fixing it twice.

What you get:

• Complete SKILL.md with detection triggers, logging formats, and promotion workflows

• Three structured log files — Learnings, Errors, and Feature Requests — with consistent formats that agents can actually parse

• Automatic detection triggers: corrections, knowledge gaps, command failures, feature requests

• Priority and area tagging system for filtering and triage

• Promotion workflow: learnings graduate from log files to AGENTS.md / SOUL.md / TOOLS.md / CLAUDE.md

• Recurring pattern detection with See Also linking and automatic priority escalation

• Periodic review system with quick-status shell commands

• Hook scripts for Claude Code, Codex CLI, and OpenClaw

• Skill extraction workflow: when a learning is good enough, auto-extract it into a reusable skill

• Multi-agent support: works with Claude Code, Codex, GitHub Copilot, and OpenClaw

The difference: Free memory tools help your agent remember facts. This helps your agent remember what it got wrong — and never do it again.

Works with: OpenClaw, Claude Code, Codex CLI, GitHub Copilot, any agent that reads markdown workspace files.