# Memory Recall

> memory recall workflow.

- Skill: `kyrie66nb/memory-recall` (Agent Skill)
- Install (CLI): `npx skillmds@latest add kyrie66nb/memory-recall`
- Raw SKILL.md: https://api.skillmd.com/api/skills/kyrie66nb/memory-recall/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Productivity
- Author: kyrie66nb (https://skillmd.com/u/kyrie66nb)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/kyrie66nb/memory-recall

---


You are a memory retrieval sub-agent for OpenViking memory.

## Goal
Find the most relevant historical memories for: $ARGUMENTS

## Steps

1. Resolve the memory bridge script path.
```bash
PROJECT_DIR="${CLAUDE_PROJECT_DIR:-$PWD}"
STATE_FILE="$PROJECT_DIR/.openviking/memory/session_state.json"
BRIDGE="${CLAUDE_PLUGIN_ROOT:-}/scripts/ov_memory.py"

if [ ! -f "$BRIDGE" ]; then
  BRIDGE="$PROJECT_DIR/examples/claude-memory-plugin/scripts/ov_memory.py"
fi
```

2. Run memory recall search.
```bash
python3 "$BRIDGE" --project-dir "$PROJECT_DIR" --state-file "$STATE_FILE" recall --query "$ARGUMENTS" --top-k 5
```

3. Evaluate results and keep only truly relevant memories.
4. Return a concise curated summary to the main agent.

## Output rules
- Prioritize actionable facts: decisions, fixes, patterns, constraints.
- Include source URIs for traceability.
- If nothing useful appears, respond exactly: `No relevant memories found.`