Recall

Load context from past sessions. Three modes: temporal (what did I work on yesterday/last week), topic (semantic search across sessions and notes), and graph (visual map of session-file relationships). Every recall ends with One Thing — the single highest-leverage next action.

Your agent forgets between sessions. Recall fixes that.

Three modes: temporal (date-based), topic (semantic search), graph (visual map). Every recall ends with One Thing — a concrete, specific next action synthesized from what you find.

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Modes

1. Temporal — What were you working on?

text

/recall yesterday
/recall last week
/recall 2026-03-28
/recall this week
/recall last 3 days

Scans memory/YYYY-MM-DD.md and memory/chat-log-YYYY-MM-DD.jsonl files chronologically. Shows a timeline of sessions with topics, decisions made, and tasks in progress.

What it shows:

• Sessions list (time, topic, key decisions)
• Tasks that were in progress → which are done, which are stuck
• Decisions made and why
• Open loops that weren't closed

2. Topic — What do you know about X?

text

/recall authentication
/recall meeting with Bayram
/recall MoltNet architecture
/recall voice cloning

Searches across:

• memory/ daily files
• MEMORY.md long-term memory
• SESSION-STATE.md
• Any notes in the workspace

Uses keyword + semantic matching. Returns relevant excerpts with dates.

3. Graph — Visualize your work streams

text

/recall graph yesterday
/recall graph last week
/recall graph last 3 days

Generates an interactive HTML visualization:

• Sessions as nodes, colored by day
• Files touched as connected nodes
• Clusters reveal related work streams
• Shared files show cross-session dependencies

Output: memory/recall-graph-YYYY-MM-DD.html — opens in browser.

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The One Thing

Every recall ends with synthesis:

Based on what has momentum, what's blocked, and what's closest to done — here's the single highest-leverage action right now:

[Specific, actionable, not generic]

Not "work on your project." More like "The auth flow has been blocked for 3 days — unblock it by making the decision about OAuth vs API keys you've been deferring."

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How It Works

Step-by-step execution

Temporal query:

bash

# 1. Find relevant memory files
ls ~/[workspace]/memory/YYYY-MM-DD.md  # today and requested range

# 2. Read them chronologically
cat memory/2026-03-28.md memory/2026-03-29.md ...

# 3. Also check SESSION-STATE.md for current hot context
cat memory/SESSION-STATE.md

# 4. Build timeline
# 5. Synthesize One Thing

Topic query:

bash

# 1. Search memory files for topic
grep -r "TOPIC" memory/ --include="*.md" -l

# 2. If QMD is available (faster, semantic):
qmd search "TOPIC" -n 10

# 3. Read matched sections
# 4. Synthesize what's known + One Thing

Graph query:

bash

# 1. Parse memory files for file references and decisions
# 2. Build adjacency data
# 3. Generate HTML with D3.js visualization
python3 ${CLAUDE_SKILL_DIR}/scripts/generate-graph.py --days 7 --output memory/recall-graph.html
# 4. Open in browser or share link

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Configuration

No configuration required. Works with any workspace that has memory/ files.

Optional — better search with QMD:

bash

# Install QMD for semantic search
npm install -g @qmd/cli
qmd index memory/ --collection sessions

Optional — richer graph with file tracking: Add to your AGENTS.md:

text

When touching important files, log them to memory/YYYY-MM-DD.md:
  - Touched: path/to/file.md

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Examples

"What was I doing last week?"

text

📅 Last week (Mar 24–30):

Mon Mar 24: Voice cloning setup — installed Chatterbox, tested on DGX
Tue Mar 25: LanguageMirror backend — /clone-voice endpoint working
Wed Mar 26: Blocked on Russian TTS (CosyVoice failed), pivoted to English MVP
Thu Mar 27: Voxtral announcement — saved notes, compared to ElevenLabs
Fri Mar 28: Content pipeline — built preflight-check.sh, integrated with Moltbook

🔄 In progress: LanguageMirror end-to-end test (Pron)
✅ Done: Chatterbox, preflight-check
❌ Blocked: Russian TTS, Google Auth

⚡ One Thing: The LanguageMirror test has been queued for Pron for 3 days — check if it's done or unblock it.

"What do I know about the MoltNet architecture?"

text

📚 Found 8 references across 12 sessions (Mar 15 – Mar 31):

[2026-03-15] Decided: Node 1 Strasbourg as primary, Proxmox VE
[2026-03-18] Router deployed at /opt/moltnet/router/router.js
[2026-03-22] MoltWallet vs MoltPay distinction documented
[2026-03-28] Node 2 Singapore planned (Ryzen 9950X €299)

Key decision: Multi-tenant VPS marketplace, Telegram-first

⚡ One Thing: Node 2 Singapore has been "planned" for 2 weeks with no action — decide: this month or defer to Q3?

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Upgrade Path

Setup	What you get
Just memory/ files	Temporal recall, basic topic search
+ QMD installed	Semantic topic search, faster
+ file tracking in AGENTS.md	Richer graph with file relationships
+ SESSION-STATE.md protocol	Real-time hot context always available

Start simple. Add as needed.

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See Also

• evolutionary-model — why memory persistence matters
• onboarding — set up your memory foundation first
• ArtemXTech's original recall skill for Claude Code + Obsidian workflows