Memory

Memory - Read & Access Operations

Unified read-side memory skill with subcommands for searching, loading, syncing, history, and visualization.

Cross-session read strategy (Opus 5.5 / CC 2.1.111+): Opus 5.5 reads filesystem memory reliably across sessions. When loading context at session start, prefer the layered read order:

1. ~/.claude/projects/<slug>/memory/MEMORY.md (durable index — load first, always)
2. .claude/chain/state.json + most recent NN-*.json handoff (session continuation)
3. MCP mcp__memory__search_nodes for anything the filesystem index doesn't answer (typed graph traversal)

Layer 1 is cheap (small index file), Layer 2 is scoped (session-specific), Layer 3 is selective (only when needed). Avoid dumping the full knowledge graph into context — use the index to narrow the search first.

Argument Resolution

SUBCOMMAND = "$ARGUMENTS[0]"  # First token: search, load, history, viz, status
QUERY = "$ARGUMENTS[1]"       # Second token onward: search query or flags
# $ARGUMENTS is the full string (CC 2.1.59 indexed access)

Usage

memory search <query>  # Search knowledge graph
memory load             # Load context at session start
memory history          # View decision timeline
memory viz              # Visualize knowledge graph
memory status           # Show memory system health

---

CRITICAL: Use AskUserQuestion When No Subcommand

If invoked without a subcommand, ask the user what they want:

AskUserQuestion(
  questions=[{
    "question": "What memory operation do you need?",
    "header": "Operation",
    "options": [
      {"label": "search", "description": "Search decisions and patterns in knowledge graph"},
      {"label": "load", "description": "Load relevant context for this session"},
      {"label": "history", "description": "Decision timeline + knowledge-graph viz (--mermaid)"},
      {"label": "status", "description": "Check memory system health"}
    ],
    "multiSelect": false
  }]
)

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Subcommands

Load details: Read("references/memory-commands.md") for full usage, flags, output formats, and context-aware result limits for each subcommand.

Subcommand	Purpose
search	Search past decisions, patterns, entities. Supports --category (maps to metadata.category), --limit, --agent (scopes by agent_id), --global filter flags
load	Auto-load relevant memories at session start. Supports --project, --global
history	Decision timeline with table, Mermaid, or JSON output. Supports --since, --mermaid
viz	Render knowledge graph as Mermaid diagram. See also Read("references/mermaid-patterns.md")
status	Memory system health check

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Scheduled Sweeps (cron)

Nightly KG staleness report

Cron job in .github/workflows/memory-staleness.yml runs nightly at 04:00 UTC. Calls scripts/staleness_cron.py to scan ALL memory MCP entities, flag those whose latest observation timestamp is older than 30 days, and write a Markdown report to docs/reports/memory-staleness-YYYY-MM-DD.md.

python3 ${CLAUDE_SKILL_DIR}/scripts/staleness_cron.py docs/reports/ \
    --threshold-days 30 --limit 50

Auto-skip conditions (all exit 0, all WARN-logged):

Skip reason	Trigger
yg-mcp-core not importable	yg-mcp-core>=0.3.0 not installed (orchestkit is public; yg-mcp-core lives on private pypi.yonyon.ai — HQ-only)
memory MCP unreachable	memory MCP server down OR .mcp.json doesn't define memory

Report contents:

• Total / stale / fresh entity counts
• Top N stale entries sorted by staleness (no-timestamp first, then oldest → newest)
• Each row: name, entityType, age in days, observations count
• Suggested actions per age bucket (>90d review, >180d archive candidate)

Treats entities with no parsable timestamp as stale — operator intervention is the right outcome (backfill last_read observation OR prune).

Pure helpers (parse_iso_timestamp, latest_observation_timestamp, is_stale, build_report_payload, render_markdown) live in sibling staleness_lib.py for unit-testability.

Mirrors Yonatan-HQ/hq-ext-plugin#194 (audio_podcast) and orchestkit#1886 (post-synth podcast) + #1887 (memory writeback) pattern. Unblocked by Yonatan-HQ/core#993 (yg-mcp-core 0.3.0).

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Workflow

1. Parse Subcommand

Extract first argument as subcommand
If no subcommand -> AskUserQuestion
Validate subcommand is one of: search, load, history, viz, status
Parse remaining flags
Check for --agent <agent-id> flag → agent_id: "ork:{agent-id}"

2. Execute Subcommand

Route to appropriate handler based on subcommand.

3. Report Results

Format output appropriate to the operation.

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Rules Quick Reference

Rule	Impact	What It Covers
entity-extraction-patterns (load rules/entity-extraction-patterns.md)	HIGH	Entity types, relation types, graph query semantics
deduplication-strategy (load rules/deduplication-strategy.md)	HIGH	Edit-over-Write pattern, anchor-based insertion, verification

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Session Resume

Load details: Read("references/session-resume-patterns.md") for CC 2.1.31 resume hints, context capture before ending, and resume workflows for PRs, issues, and implementations.

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Related Skills

• ork:remember - Store decisions and patterns (write-side)

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Error Handling

• If graph empty for viz: Show helpful message about using remember
• If subcommand invalid: Show usage help
• If memory files corrupt: Report and offer repair
• If search query empty: Show recent entities instead
• If no search results: Suggest alternatives