Stores durable facts in a categorized, plain-markdown vault on disk, alongside your agent's built-in memory.
Memory
lucid-dreamer
Try itNightly AI memory reasoning system. Lucid runs every night while you sleep - it reads your daily notes and memory files, detects stale facts, unresolved todos, recurring problems, forgotten decisions, and can optionally perform aggressive cleanup and contradiction detection. Includes optional session debrief for quick end-of-day memory capture. Zero dependencies, no database, no embeddings. Just a scheduled job and markdown files. Use when you want your AI agent to automatically maintain and improve its long-term memory over time. Triggers on "memory dreamer", "nightly memory review", "lucid", "auto memory", "memory cleanup", "memory hygiene".
What it does
Lucid keeps your AI's memory clean. Every night, it reads what happened, checks what your AI already knows, and suggests what's outdated, missing, or forgotten.
The skill document
Lucid Dreamer 🧠
Your AI sleeps. Lucid dreams.
Lucid keeps your AI's memory clean. Every night, it reads what happened, checks what your AI already knows, and suggests what's outdated, missing, or forgotten.
See README.md for full setup, ARCHITECTURE.md for internals, and config/ for configuration.
Quick Setup
-
Set your workspace path in the config:
export CLAWD_DIR=/path/to/your/workspace -
Create a nightly cron job using OpenClaw's cron tool — run the prompt in
prompts/nightly-review.mdat 3 AM.Optional: add a lightweight session debrief cron around 18:00 using
prompts/session-debrief.md. This is a faster daily capture pass than the nightly review — it reads today's daily note and writes durable decisions/facts straight into memory without creating a review report. -
Wake up to a review report in
memory/review/YYYY-MM-DD.md. -
Approve or reject suggestions — Lucid tracks state in
memory/review/state.json.
Optional Session Debrief Cron
Use prompts/session-debrief.md for a quick end-of-day memory pass around 18:00. It is designed to run faster than the nightly review: read today's daily note, capture durable decisions/facts/action items, and write them directly into memory.
Recommended OpenClaw cron settings:
openclaw cron add \
--name "lucid-debrief" \
--cron "0 18 * * *" \
--tz "Europe/Vienna" \
--model "your-preferred-model" \ # e.g. anthropic/claude-haiku-4-5 or opencode-go/minimax-m2.7
--session isolated \
--wake-mode now \
--message "$(cat prompts/session-debrief.md)"
What it does:
- Reads today's daily note (
memory/TODAY.md) - Captures key decisions, durable facts, and concrete action items
- Writes those updates directly into long-term memory
- Skips the full review report to stay quick and cheap
Files
prompts/nightly-review.md— the main nightly review promptprompts/session-debrief.md— optional quick-capture prompt for ~18:00config/— thresholds and behavior settingsexamples/— sample review output and state file
Security
Files read at runtime:
MEMORY.md— long-term agent memory summaryUSER.md— user profile and preferences- Last 7 daily notes (
memory/YYYY-MM-DD.md)
Files written at runtime:
memory/review/YYYY-MM-DD.md— the generated review reportmemory/review/state.json— approval/rejection tracking state
What this skill is designed to avoid:
- Avoid suggesting or outputting passwords, API keys, tokens, or other credentials in generated memory updates
- Never accesses files outside the configured workspace directory
- Never pushes to remote git automatically — all commits are local only, and no
git pushis performed unless you explicitly run it - Announce/notification delivery is opt-in and off by default — no messages are sent without explicit configuration
Recommendations:
- Set
CLAWD_DIRexplicitly in your environment to ensure the skill operates on the correct workspace - This skill reads workspace markdown files such as
MEMORY.md,USER.md, and recent daily notes. Do not run it on a workspace containing unencrypted API keys or other secrets in plain markdown files. - Review generated reports before approving suggestions — Lucid proposes changes, but you remain in control
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