Feature Memory

OpenClaw Memory System: How Persistent Memory Works

Deep dive into OpenClaw's persistent memory system. Learn how it works, what it remembers, how to manage it, and privacy implications.

Updated: February 1, 2026 9 min read

Quick Answer

OpenClaw maintains persistent memory that survives across sessions. It remembers your preferences, past conversations, and context, making it uniquely personalized over time. All memory is stored locally on your machine.

Most AI assistants treat each conversation as independent. You ask a question, get an answer, and the context is lost. OpenClaw is different—it maintains persistent memory that survives across sessions, learning your preferences and building context over time. This makes OpenClaw uniquely yours.

This guide explains how OpenClaw’s memory system works, what it remembers, and how you can manage it.

What Is Persistent Memory?

Persistent memory means OpenClaw remembers information across sessions. Unlike ChatGPT or other chat interfaces that start fresh each time, OpenClaw builds a knowledge base about you that grows over time.

Session-based (ChatGPT, Claude):

  • Conversation 1: “My name is John”
  • Conversation 2: “What’s my name?” → “I don’t know”

Persistent memory (OpenClaw):

  • Conversation 1: “My name is John”
  • Conversation 2: “What’s my name?” → “Your name is John”

This persistence transforms OpenClaw from a tool into a true personal assistant.

How Memory Works

Storage Architecture

OpenClaw stores memory locally on your machine:

  • Location: ~/.openclaw/memory/ (or configured path)
  • Format: Vector database with embeddings
  • Privacy: Never leaves your computer
  • Persistence: Survives restarts and updates

The memory system uses embeddings to store information semantically, making it easy to retrieve relevant context when needed.

What Gets Remembered

OpenClaw remembers several types of information:

1. Personal Information

  • Your name, preferences, and settings
  • Contact information you’ve shared
  • Personal details and context

2. Conversation History

  • Past conversations and context
  • Topics you’ve discussed
  • Questions you’ve asked
  • Answers and explanations

3. Preferences and Patterns

  • How you like things done
  • Your workflow patterns
  • Common tasks and routines
  • Communication style preferences

4. Context and Relationships

  • Relationships between concepts
  • Your projects and goals
  • Important dates and events
  • Recurring patterns

5. Skill Usage

  • Which skills you use frequently
  • How you interact with skills
  • Customizations you’ve made
  • Skill preferences

Memory Retrieval

When you interact with OpenClaw, it:

  1. Analyzes your request to understand what you need
  2. Searches memory for relevant past information
  3. Retrieves context that’s relevant to your request
  4. Uses context to provide personalized responses
  5. Updates memory with new information from the conversation

This retrieval happens automatically—you don’t need to explicitly tell OpenClaw to remember things.

Memory in Action

Example 1: Learning Preferences

Day 1:

You: "Summarize my emails"
OpenClaw: [Provides detailed summary]
You: "That's too long, make it shorter"
OpenClaw: [Acknowledges preference]

Day 5:

You: "Summarize my emails"
OpenClaw: [Provides concise summary automatically]

OpenClaw remembered your preference for shorter summaries and applies it automatically.

Example 2: Building Context

Week 1:

You: "I'm working on a project called 'Website Redesign'"
OpenClaw: [Acknowledges project]

Week 2:

You: "What was I working on last week?"
OpenClaw: "You mentioned working on 'Website Redesign'. Would you like to continue with that?"

OpenClaw connected the conversation and retrieved relevant context.

Example 3: Personalization

Month 1:

You: "Check my calendar"
OpenClaw: [Shows full calendar]

Month 3:

You: "What's on my calendar?"
OpenClaw: "You have 3 meetings today:
- Team standup at 10 AM (recurring)
- Client call at 2 PM (you usually prepare notes for these)
- Dinner with Sarah at 7 PM"

OpenClaw has learned your patterns and provides more personalized, contextual information.

Managing Memory

Viewing Memory

You can inspect what OpenClaw remembers:

openclaw memory list

This shows a summary of stored memories. For more detail:

openclaw memory search "project name"

Updating Memory

Memory updates automatically, but you can also explicitly manage it:

Add memory:

You: "Remember that I prefer morning meetings"
OpenClaw: [Stores preference in memory]

Update memory:

You: "Actually, I changed my mind about morning meetings"
OpenClaw: [Updates existing memory]

Delete memory:

openclaw memory delete "old project"

Or in chat:

You: "Forget about that old project"
OpenClaw: [Removes from memory]

Memory Privacy

All memory is stored locally:

  • No cloud storage: Everything stays on your machine
  • No data collection: OpenClaw doesn’t send memory to any service
  • Full control: You can delete any memory at any time
  • Encryption: Memory can be encrypted at rest (optional)

The only data that leaves your computer is what you explicitly send to an AI model API (Claude, GPT-4, etc.), and you control which API is used.

Memory and Skills

Skills interact with memory in powerful ways:

Email Skill:

  • Remembers your email preferences
  • Learns which emails are important to you
  • Adapts categorization based on your feedback

File Organizer Skill:

  • Remembers your organization preferences
  • Learns your folder structure patterns
  • Adapts to your workflow

Browser Automation Skill:

  • Remembers form preferences
  • Learns your login patterns
  • Stores frequently used data

Skills can read and write to memory, making them more powerful over time as they learn your preferences.

Advanced Memory Features

Memory Categories

OpenClaw organizes memory into categories:

  • Personal: Your information and preferences
  • Projects: Work and personal projects
  • Preferences: How you like things done
  • Context: Conversation and interaction history
  • Skills: Skill-specific memories

Memory Expiration

Some memories can be set to expire:

openclaw memory set-expiry "temporary note" 7d

This is useful for temporary information that shouldn’t persist forever.

Memory Import/Export

You can backup and restore memory:

# Export memory
openclaw memory export ~/openclaw-memory-backup.json

# Import memory
openclaw memory import ~/openclaw-memory-backup.json

This is useful for:

  • Backing up your personalized assistant
  • Migrating to a new machine
  • Sharing memory between instances

Privacy Considerations

What Stays Local

Everything stays on your machine:

  • All memory data
  • Conversation history
  • Personal information
  • Preferences and patterns

What Goes to AI APIs

When you interact with OpenClaw, it may send information to AI model APIs (Claude, GPT-4, etc.):

  • Your current message
  • Relevant memory context (to provide personalized responses)
  • No memory data is stored by the API provider
  • You control which API is used

Best Practices

  1. Review memory periodically: Check what’s stored
  2. Delete sensitive information: Remove anything you don’t want remembered
  3. Use local models: For maximum privacy, use Ollama with local models
  4. Encrypt memory: Enable encryption for sensitive use cases
  5. Backup regularly: Export memory for safekeeping

Troubleshooting Memory

Memory Not Working

If OpenClaw doesn’t seem to remember things:

  1. Check memory is enabled: openclaw config get memory.enabled
  2. Verify memory directory exists and is writable
  3. Check logs for errors: openclaw logs
  4. Try explicit memory commands: “Remember that…”

Too Much Memory

If memory is getting too large:

  1. Review stored memories: openclaw memory list
  2. Delete old or irrelevant memories
  3. Set expiration on temporary memories
  4. Export and archive old memories

Memory Conflicts

If memories seem contradictory:

  1. Search for conflicting memories: openclaw memory search "topic"
  2. Update or delete conflicting entries
  3. Be explicit about preferences: “I prefer X, not Y”

The Power of Persistent Memory

Persistent memory is what transforms OpenClaw from a tool into a true personal assistant. It:

  • Learns your preferences and applies them automatically
  • Builds context over time, making conversations more natural
  • Remembers important information so you don’t have to repeat yourself
  • Personalizes responses based on your history
  • Adapts to your workflow and becomes more useful over time

This is the difference between using an AI tool and having an AI assistant that truly knows you.

Next Steps

Now that you understand memory:

  1. Start using OpenClaw and let it learn your preferences
  2. Review your memory periodically: openclaw memory list
  3. Be explicit about important preferences
  4. Manage memory as needed to keep it relevant
  5. Enjoy personalization as OpenClaw learns about you

For more information:

Memory is what makes OpenClaw uniquely yours. Start building your personalized AI assistant today.

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