How does memory work in OpenClaw?

Clawpedia · For Humans

Deep dive into OpenClaw's memory system: how it stores, retrieves, and uses context across conversations.

How Does Memory Work in OpenClaw?

OpenClaw's memory system is what transforms it from a simple chatbot into a true personal assistant. Unlike most AI tools that forget everything between sessions, OpenClaw remembers your preferences, past conversations, and learned facts — building a richer, more personalized experience over time.

Memory Architecture

OpenClaw uses a three-tier memory system:


┌─────────────────────────────────────────┐
│           Working Memory                │  ← Current conversation context
│    (active session, ~last 20 messages)  │
├─────────────────────────────────────────┤
│          Short-Term Memory              │  ← Recent conversations (7 days)
│    (summarized recent interactions)     │
├─────────────────────────────────────────┤
│          Long-Term Memory               │  ← Permanent knowledge
│    (facts, preferences, learned data)   │
└─────────────────────────────────────────┘
Memory TypeDurationStoragePurpose
WorkingCurrent sessionRAMActive conversation context
Short-term7 days (configurable)SQLite/PostgreSQLRecent interaction summaries

How Memories Are Created

Long-termPermanentSQLite/PostgreSQLFacts, preferences, user profile

OpenClaw automatically extracts and stores relevant information from your conversations:


You: "I prefer dark roast coffee and I'm allergic to nuts."

OpenClaw internally:
  1. Detects preference: "dark roast coffee" → Long-term memory
  2. Detects health fact: "allergic to nuts" → Long-term memory (high priority)
  3. Responds naturally while confirming understanding

Memory Configuration


# ~/.openclaw/config.yaml
memory:
  backend: sqlite                    # sqlite or postgresql
  path: ~/.openclaw/memory.db
  
  working:
    max_messages: 20                 # Messages in active context
    max_tokens: 4096                 # Token limit for context window
  
  short_term:
    retention_days: 7                # Days before summarization
    summarize: true                  # Auto-summarize old conversations
  
  long_term:
    enabled: true
    auto_extract: true               # Automatically learn from conversations
    max_facts: 10000                 # Maximum stored facts
    categories:
      - preferences
      - personal_info
      - work_context
      - relationships
      - health
  
  encryption:
    enabled: true
    algorithm: aes-256-gcm

Viewing Your Memories


# List all stored memories
openclaw memory list

# Search memories
openclaw memory search "coffee"
# → [preference] User prefers dark roast coffee
# → [conversation] Discussed coffee shops on 2025-01-15

# View memory statistics
openclaw memory stats
# Long-term facts: 142
# Short-term summaries: 28
# Total storage: 4.2 MB

# View memories by category
openclaw memory list --category preferences

How Memory Affects Responses

Without memory:


You: "What should I have for breakfast?"
AI:  "Here are some popular breakfast options: eggs, oatmeal, toast..."
     (Generic, impersonal)

With OpenClaw memory:


You: "What should I have for breakfast?"
AI:  "Since you mentioned you're trying to eat more protein and you
      love dark roast coffee, how about scrambled eggs with avocado
      toast and a cup of your favorite dark roast? I'll skip any nut-
      based suggestions given your allergy."
     (Personalized, context-aware, safe)

Memory Privacy

All memories are stored locally on your machine by default:


# Check where memories are stored
openclaw config get memory.path
# → /home/user/.openclaw/memory.db

# Enable encryption
openclaw config set memory.encryption.enabled true

# Export memories (for backup)
openclaw memory export --format json > memories_backup.json

# Delete specific memories
openclaw memory delete --id mem_abc123

# Clear ALL memories
openclaw memory clear --confirm

Memory Types in Detail

TypeExamplePriorityAuto-Extracted
Preference"Likes dark roast coffee"Medium✅
Personal fact"Birthday is March 15"High✅
Health/Safety"Allergic to nuts"Critical✅
Work context"Works at Acme Corp as engineer"Medium✅
Relationship"Partner's name is Alex"Medium✅
Learned skill"Prefers Python over JavaScript"Low✅

Teaching OpenClaw Explicitly


# Add a fact manually
openclaw memory add "My favorite restaurant is Luigi's on Main Street"

# Add with category
openclaw memory add --category work "Sprint planning is every Monday at 10 AM"

# Add a preference
openclaw memory add --category preferences "I prefer metric units"
Explicit instruction"Always respond formally"HighVia command

Or through natural conversation:


You: "Remember that my meeting with the board is every first Tuesday."
OpenClaw: "Got it! I've noted that your board meeting is on the first
           Tuesday of each month. I'll keep that in mind."

Troubleshooting Memory Issues

ProblemSolution
OpenClaw forgot somethingCheck openclaw memory search "topic"
Too many irrelevant memoriesAdjust auto_extract sensitivity in config
Memory database too largeRun openclaw memory compact
Wrong information storedDelete with openclaw memory delete --id <id>
Memory not working at allVerify memory.enabled: true in config

Tip: OpenClaw's memory is what makes it uniquely useful as a personal assistant. The more you interact with it, the better it understands your preferences and context. Give it a few weeks of regular use, and you'll notice a significant difference in response quality.

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