memory · yonatangross — Claude Code skill: what it does, how to install
Search a knowledge graph for earlier decisions, load session context, and inspect decision history. Use it when you need to recover what a project has already settled.
npx skills add yonatangross/orchestkit --skill memory -a claude-codeWhat memory does
The search subcommand looks up decisions, patterns, and entities in the knowledge graph. Use load to bring relevant context into a session, history to inspect the decision timeline, or viz to render a Mermaid graph. status checks the memory system.
For session context, the skill reads the project’s filesystem index first, then session continuation data, and queries the MCP server when needed. Graph operations require a configured memory MCP server. Claude Code 2.1.277 or later is also required.
Invoke the skill without a subcommand and it asks which operation you want. To save new decisions, use the separate remember skill; memory handles read-side operations.
What it helps with
- find a decision made earlier
- load project context at session start
- review the timeline of decisions
- render the knowledge graph as Mermaid
- check memory system health
Example prompts for the agent
- Search memory for earlier pagination decisions:
search pagination. - Load memory context for this session:
load. - Show the decision history as a Mermaid diagram:
history --mermaid.
How to install memory
1Skills CLI (Vercel)
npx skills add yonatangross/orchestkit --skill memory -a claude-code2Manually: put the files in place
~/.claude/skills/memory/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/memory/
1Skills CLI (Vercel)
npx skills add yonatangross/orchestkit --skill memory -a codex2Manually: put the files in place
.agents/skills/memory/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add yonatangross/orchestkit --skill memory -a cursor2Manually: put the files in place
.cursor/skills/memory/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install yonatangross/orchestkit memory2Manually: put the files in place
.github/skills/memory/SKILL.md1Skills CLI (Vercel)
npx skills add yonatangross/orchestkit --skill memory -a gemini-cli2Platform CLI
gemini skills install https://github.com/yonatangross/orchestkit --path src/skills/memoryManually: put the files in place
.devin/skills/memory/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add yonatangross/orchestkit --skill memory -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
Step by step, with commands for each platform: How to install skills in Claude Code: five ways
Questions about memory
How do I install memory in Claude Code?
Run npx skills add yonatangross/orchestkit --skill memory -a claude-code. The skill file is located at ~/.claude/skills/memory/SKILL.md.
What does the memory skill do?
It reads the knowledge graph to find past decisions, load session context, show decision history, and render graph visualizations in Mermaid.
What does memory need to work with Claude Code?
It requires a configured memory MCP server and Claude Code 2.1.277 or later.
Source text
SKILL.md · MIT
---
name: memory
license: MIT
compatibility: "Claude Code 2.1.277+. Requires memory MCP server."
description: "Read-side memory operations on the knowledge graph: search past decisions and patterns, load session context, view decision timelines, render Mermaid graph visualizations. Subcommands: search, load, history, viz, status. Use when finding or reviewing what memory already holds. For storing new knowledge instead, invoke remember; for retrieval internals, memory-fabric; for cleanup, dream."
argument-hint: "[subcommand] [query]"
context: inherit
user-invocable: true
allowed-tools: "Read Grep Glob Bash AskUserQuestion mcp__memory__search_nodes mcp__memory__read_graph"
effort: low
model: haiku
metadata:
category: mcp-enhancement
mcp-server: memory
version: "2.0.1"
author: "OrchestKit"
complexity: "low"
tags: "memory, graph, session, context, sync, visualization, history, search"
triggers:
keywords: [memory, recall, "search memory", "past decisions", "knowledge graph", "load context", "prior decisions", "what did we decide"]
examples:
- "search my memory for past database decisions"
- "what did we decide about pagination last time"
- "show me the knowledge graph"
anti-triggers: [remember, save, store, commit, implement, explore]
paths:
- ".claude/memory/**"
- ".claude/projects/**/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
```python
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
```bash
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:
```python
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
}]
)
```
---
## 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 |
---
## 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`.
```bash
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).
---
## 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.
---
## 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 |
---
## 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.
---
## Related Skills
- `ork:remember` - Store decisions and patterns (write-side)
---
## 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
© OrchestKit · MIT · yonatangross/orchestkit
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