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MCP server · Developer Tools

Openmemory

Simple standalone MCP server giving Claude the ability to remember your conversations and learn from them over time.

Unclaimed MIT last commit a year ago devtools
64Good

Scored 7 days ago · breakdown

About Openmemory

Openmemory is an MCP server published by baryhuang in the Developer Tools category: simple standalone MCP server giving Claude the ability to remember your conversations and learn from them over time.

The repository has 71 stars and 9 forks, with the last commit a year ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.

Install

From source
git clone https://github.com/baryhuang/mcp-openmemory

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Tools (4)

get_recent_memoriesRetrieve recent conversation history

Parameters not published.

recall_memory_abstractGet current memory summary

Parameters not published.

save_memoryStore individual conversation messages

Parameters not published.

update_memory_abstractUpdate the memory summary

Parameters not published.

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Security checks

Static checks derived from the repository 8 hours ago. Heuristics on the source, not an audit.

  • ✓README presentThe repository ships documentation.
  • ✓License declaredUsable under a stated license.
  • !Tests presentNo tests found. Behaviour changes may go unnoticed between versions.
  • ✓Dependencies pinnedA lockfile pins dependency versions.
  • ✓No dynamic code executionSource scan found no eval, dynamic Function, or shell execution.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

README

MCP OpenMemory Server

npm version MCP

Gives Claude the ability to remember your conversations and learn from them over time.

https://github.com/user-attachments/assets/aef82b8e-3793-4ebd-b993-ddaef14d52d1

Features

  • Memory Storage: Save and recall conversation messages
  • Memory Abstracts: Maintain summarized memory context across conversations
  • Recent History: Access recent conversations within configurable time windows
  • Local Database: Uses SQLite for persistent storage without external dependencies

⚠️ Important

You must configure MEMORY_DB_PATH to a persistent location to avoid losing your conversation history when Claude Desktop closes. If not configured, the database defaults to ./memory.sqlite in a temporary location that may be cleared when the application restarts.

Configuration

Prerequisites

  • Node.js: Required to run the MCP server. Verify installation with:

    node --version
    

    If not installed, download from nodejs.org

  • Claude Desktop: Download the latest version for macOS or Windows

Claude Desktop Integration

Configuration File Location

The Claude Desktop configuration file is located at:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json

To access: Open Claude Desktop → Claude menu → Settings → Developer → Edit Config

macOS/Linux

Run directly using npm

{
  "mcpServers": {
    "mcp-openmemory": {
      "command": "npx",
      "args": [
        "@peakmojo/mcp-openmemory@latest"
      ],
      "env": {
        "MEMORY_DB_PATH": "/Users/username/mcp-memory.sqlite"
      }
    }
  }
}

Windows

Run directly using npm

{
  "mcpServers": {
    "mcp-openmemory": {
      "command": "npx",
      "args": [
        "@peakmojo/mcp-openmemory@latest"
      ],
      "env": {
        "MEMORY_DB_PATH": "C:\\Users\\username\\mcp-memory.sqlite"
      }
    }
  }
}

Run from source (all platforms)

{
  "mcpServers": {
    "memory": {
      "command": "npx",
      "args": ["/path/to/your/repo/server.js"],
      "env": {
        "MEMORY_DB_PATH": "/path/to/your/memory.sqlite"
      }
    }
  }
}

Environment Variables

  • MEMORY_DB_PATH: Path to SQLite database file (default: ./memory.sqlite)

Verification

After configuring and restarting Claude Desktop, you should see:

  1. Slider Icon (🔧) in the bottom left of the input box
  2. Available Tools when clicking the slider:
    • save_memory
    • recall_memory_abstract
    • update_memory_abstract
    • get_recent_memories

Troubleshooting

Server Not Showing Up

  1. Restart Claude Desktop completely
  2. Check JSON syntax in your configuration file
  3. Verify paths are absolute (not relative) and exist
  4. Test manual server start:
    # Test if the server runs correctly
    npx @peakmojo/mcp-openmemory@latest
    

Check Logs

Log Locations:

  • macOS: ~/Library/Logs/Claude/
  • Windows: %APPDATA%\Claude\logs\

View recent logs:

# macOS/Linux
tail -n 20 -f ~/Library/Logs/Claude/mcp*.log

# Windows  
type "%APPDATA%\Claude\logs\mcp*.log"

Common Issues

  • ENOENT errors on Windows: Add APPDATA to your env configuration
  • Tool calls failing: Check server logs for errors
  • NPM not found: Install NPM globally with npm install -g npm

For detailed troubleshooting, see the official MCP documentation.

Security Note

⚠️ Claude Desktop runs MCP servers with your user account permissions. Only install servers from trusted sources.

Available Tools

  • save_memory: Store individual conversation messages
  • recall_memory_abstract: Get current memory summary
  • update_memory_abstract: Update the memory summary
  • get_recent_memories: Retrieve recent conversation history

Usage

The server starts automatically when configured with Claude Desktop. The database will be created automatically on first use.

Example System Prompt

# Memory Usage Guidelines

You should use memory tools thoughtfully to enhance conversation continuity and context retention:

## When to Save Memory
- **save_memory**: Store significant conversation exchanges, important decisions, user preferences, or key context that would be valuable to remember in future conversations
- Focus on information that has lasting relevance rather than temporary details
- Save when users share important personal information, project details, or ongoing work context

## When to Update Memory Abstract  
- **update_memory_abstract**: After processing recent conversations, combine new important information with existing context to create an improved summary
- Update when there are meaningful developments in ongoing projects or relationships
- Consolidate related information to maintain coherent context over time

## When to Recall Memory
- **recall_memory_abstract**: Use at the beginning of conversations to understand previous context, or when you need background information to better assist the user
- **get_recent_memories**: Access when you need specific details from recent exchanges that aren't captured in the abstract
- Recall when the user references previous conversations or when context would significantly improve your assistance

## What Constitutes Critical Information
- User preferences and working styles
- Ongoing projects and their current status  
- Important personal or professional context
- Decisions made and their rationale
- Key relationships or collaborations mentioned
- Technical specifications or requirements for recurring tasks

Use these tools to build continuity and provide more personalized assistance, not as error-prevention mechanisms or intent-guessing systems.

🔀 Namespacing Memory by Project

You can separate memory per project in two ways:

1. Hard Separation (Claude vs Cursor)

Use different MEMORY_DB_PATH in each app's config:

  • Claude (claude_desktop_config.json):
"mcpServers": {
  "claude-memory": {
    "command": "npx",
    "args": ["@peakmojo/mcp-openmemory@latest"],
    "env": {
      "MEMORY_DB_PATH": "/Users/you/claude-memory.sqlite"
    }
  }
}
  • Cursor (.cursor/config.json or tool config):
"mcpServers": {
  "cursor-memory": {
    "command": "npx",
    "args": ["@peakmojo/mcp-openmemory@latest"],
    "env": {
      "MEMORY_DB_PATH": "/Users/you/cursor-memory.sqlite"
    }
  }
}

Each app runs its own instance, storing to its own DB.

2. Soft Namespacing via context

When calling memory tools, pass a custom "context":

{ "context": "project-x", "message": "Notes from project X." }

Use this to segment memory logically within the same database.

🔍 Semantic search is not supported yet. Open a GitHub issue if needed.

References

License

MIT License

README fetched from the repository 8 hours ago. The original is authoritative.

Questions

About Openmemory

How do I install Openmemory?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Openmemory safe to use with an AI agent?

Its trust score is 64 out of 100 (good). It passes 4 of the 6 static security checks run so far; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Openmemory still maintained?

The last commit was a year ago and 2 open issues. That's long enough that you should check whether the maintainer is responding to issues before depending on it.