Autodream

Automatic memory consolidation for OpenClaw agents. Analyzes daily memory files, removes duplicates, prunes stale entries, normalizes dates, and builds a clean MEMORY.md index. Like REM sleep for AI memory. Triggers on "consolidate memory", "dream", "clean up memory", "organize memory", "memory maintenance".

Autodream — Memory Consolidation

Consolidates scattered daily memory files into a clean, organized MEMORY.md.

When to Use

• Manually: User says "consolidate memory", "dream", "clean up memory", "organize my memories"
• Via heartbeat: Periodically check if consolidation is needed (24h+ since last run AND 5+ new files)
• After major events: Big refactor, project changes, many new daily files

Quick Start

# Check if consolidation is needed
node /path/to/openclaw-autodream/bin/autodream.js {{workspace}} --stats

# Run consolidation (dry run first!)
node /path/to/openclaw-autodream/bin/autodream.js {{workspace}} --dry-run --verbose

# Run for real
node /path/to/openclaw-autodream/bin/autodream.js {{workspace}} --verbose

# Force full reconsolidation
node /path/to/openclaw-autodream/bin/autodream.js {{workspace}} --force --verbose

Replace {{workspace}} with your actual workspace path (e.g., ~/.openclaw/workspace).

If Installed Globally

# npm install -g openclaw-autodream
autodream ~/.openclaw/workspace --stats
autodream ~/.openclaw/workspace --verbose
autodream ~/.openclaw/workspace --dry-run

What It Does (4 Phases)

Phase 1: Orientation

• Reads existing MEMORY.md (if any)
• Scans memory/ for daily files
• Identifies files changed since last consolidation

Phase 2: Gather Signal

• Extracts structured entries from each daily file
• Classifies into categories: People, Projects, Preferences, Technical Decisions, Events, Lessons
• Scores importance of each entry

Phase 3: Consolidation

• Removes exact duplicates (hash-based)
• Removes fuzzy duplicates (similarity > 75%)
• Prunes stale entries (completed tasks, old debugging notes)
• Normalizes relative dates ("yesterday" → "2026-03-24")

Phase 4: Prune & Index

• Enforces max line limit (default: 200 lines)
• Prioritizes by importance × recency
• Writes clean MEMORY.md with category sections
• Backs up previous MEMORY.md to memory/.autodream-backups/

Heartbeat Integration

Add to your HEARTBEAT.md:

## Memory Consolidation Check
- Run `autodream <workspace> --stats` to check if consolidation is needed
- If "Would trigger: ✅ yes", run `autodream <workspace> --verbose`
- Only run consolidation during quiet hours (not while human is actively chatting)

Configuration

Create .autodream.json in workspace root to customize:

{
  "maxLines": 200,
  "lookbackDays": 30,
  "categories": [
    "People & Relationships",
    "Projects & Work",
    "Preferences & Style",
    "Technical Decisions",
    "Important Events",
    "Lessons Learned"
  ],
  "preservePatterns": ["⚠️", "IMPORTANT", "NEVER", "ALWAYS"],
  "triggerThreshold": {
    "minHoursSinceLastRun": 24,
    "minNewFiles": 5
  }
}

Safety

• Non-destructive: Always backs up existing MEMORY.md before modifying
• Backups: Stored in memory/.autodream-backups/
• Reports: Consolidation reports in memory/.autodream-reports/
• Dry run: Always available with --dry-run
• Protected entries: Entries with ⚠️, IMPORTANT, NEVER, ALWAYS are never pruned

Output Format

# Long-Term Memory
<!-- Last consolidated: 2026-03-25T17:00:00Z | Files processed: 31 | Entries: 47 -->

## People & Relationships
- **Bob Smith** — Team Lead test run passed (2026-03-25)

## Projects & Work
- **Acme Corp** — Q1 review: 30.1% margin, targeting 40% (2026-03-25)

## Preferences & Style
- Values precision and factual accuracy (2026-02-01)

## Technical Decisions
- Using Supabase + Vercel for Project Alpha (2026-03-18)

## Lessons Learned
- Always backup before modifying production data (2026-02-15)