dreaming-optimizer

Optimizes memory entries using LLM scoring, semantic deduplication, fact tagging, and writes consolidated summaries to persistent storage.

chongjie-ran@chongjie-ran

Install

openclaw skills install @chongjie-ran/dreaming-optimizer

🌙 dreaming-optimizer

Version: 1.0.0
Skill ID: dreaming-optimizer
Status: Ready for Development

Quick Reference

项目	内容
核心原理	OpenClaw Dreaming REM六步记忆整合（整理→评分→去重→打标→提交→摘要）
主入口	`bin/optimize.sh`
依赖	OpenClaw v2026.4.9+, tiktoken, sqlite3

Features (MVP)

Entry scorer — LLM-based priority scoring (0–100)
Deduplication — Semantic similarity merge against existing memories
Fact tagger — Label as fact/opinion/preference/context
Commit writer — Write optimized entries to persistent memory
Dreaming summary — Traceable REM consolidation report
Configurable threshold — Min score threshold (default: 70)

File Structure

text

dreaming-optimizer/
├── SKILL.md              # This file
├── bin/
│   ├── optimize.sh       # Main entry point
│   ├── score_entries.py  # LLM-based priority scoring
│   ├── deduplicate.py    # Semantic deduplication
│   └── commit.py         # Write to B-layer
├── scripts/
│   └── dreaming_summary.py
├── config/
│   └── default_threshold.yaml
└── README.md

Usage

bash

# Manual invoke
dreaming-optimizer/bin/optimize.sh

# With custom threshold
dreaming-optimizer/bin/optimize.sh --threshold 80

Integration

Reads from: ~/.openclaw/workspace/memory/YYYY-MM-DD.md
Writes to: ~/.openclaw/memory/<agent>.sqlite (B-layer)
Summary output: ~/.openclaw/workspace/memory/dreaming-summaries/

Pricing

Tier	Price	Features
Free	$0	10 cycles/mo, 100 entries/cycle
Pro	$9.90/mo	Unlimited, dedup, backfill queue, Obsidian export

Development

See: ``