acc-error-memory

---
name: acc-error-memory
description: "Error pattern tracking for AI agents. Detects corrections, escalates recurring mistakes, learns mitigations. The 'something's off' detector from the AI Brain series."
metadata:
  openclaw:
    emoji: "⚡"
    version: "1.0.0"
    author: "ImpKind"
    repo: "https://github.com/ImpKind/acc-error-memory"
    requires:
      os: ["darwin", "linux"]
      bins: ["python3", "jq"]
    tags: ["memory", "monitoring", "ai-brain", "error-detection"]
---

# Anterior Cingulate Memory ⚡

**Conflict detection and error monitoring for AI agents.** Part of the AI Brain series.

The anterior cingulate cortex (ACC) monitors for errors and conflicts. This skill gives your AI agent the ability to learn from mistakes — tracking error patterns over time and becoming more careful in contexts where it historically fails.

## The Problem

AI agents make mistakes:
- Misunderstand user intent
- Give wrong information
- Use the wrong tone
- Miss context from earlier in conversation

Without tracking, the same mistakes repeat. The ACC detects and logs these errors, building awareness that persists across sessions.

## The Solution

Track error patterns with:
- **Pattern detection** — recurring error types get escalated
- **Severity levels** — normal (1x), warning (2x), critical (3+)
- **Resolution tracking** — patterns clear after 30+ days
- **Watermark system** — incremental processing, no re-analysis

## Configuration

### ACC_MODELS (Model Agnostic)

The LLM screening and calibration scripts are model-agnostic. Set `ACC_MODELS` to use any CLI-accessible model:

```bash
# Default (Anthropic Claude via CLI)
export ACC_MODELS="claude --model haiku -p,claude --model sonnet -p"

# Ollama (local)
export ACC_MODELS="ollama run llama3,ollama run mistral"

# OpenAI
export ACC_MODELS="openai chat -m gpt-4o-mini,openai chat -m gpt-4o"

# Single model (no fallback)
export ACC_MODELS="claude --model haiku -p"
```

**Format:** Comma-separated CLI commands. Each comm