ai-ml

Memoer (Persistent Memory Storage)

geli2001

by geli2001

Memoer offers unlimited free cloud storage and data management with persistent memory via SQLite for assistants—secure,

Provides persistent memory storage for assistants to create and retrieve memories with filtering options by app name, category, and result limits through a SQLite database with automatic setup.

github stars

9

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Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

Automatic SQLite database setupTypeScript-first designSemantic search capabilities

best for

  • / AI assistants needing long-term memory
  • / Chatbots that remember user preferences
  • / Applications requiring persistent context storage

capabilities

  • / Store persistent memories in SQLite database
  • / Retrieve memories with filtering options
  • / Update and delete existing memories
  • / Organize memories by user, app, and category
  • / Search memories semantically with Qdrant integration

what it does

Provides persistent memory storage for AI assistants using SQLite, allowing them to create, retrieve, update and delete memories with filtering by app, category, and other criteria.

about

Memoer (Persistent Memory Storage) is a community-built MCP server published by geli2001 that provides AI assistants with tools and capabilities via the Model Context Protocol. Memoer offers unlimited free cloud storage and data management with persistent memory via SQLite for assistants—secure, It is categorized under ai ml.

how to install

You can install Memoer (Persistent Memory Storage) in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

Memoer (Persistent Memory Storage) is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

@memoer-mcp

A minimal, pluggable memory management library for Node.js, inspired by OpenMemory. Supports local SQLite storage, semantic search (Qdrant), and OpenAI embeddings. No web server, no frontend—just a programmatic API.

Features

  • Add, list, update, delete memories
  • Semantic search (Qdrant)
  • User, app, and category support
  • Local SQLite (via Prisma)
  • TypeScript-first

Getting Started

  1. Install dependencies:

    npm install
    
  2. Initialize the database:

    npx prisma migrate dev --name init
    
  3. Configure the MCP: Create or update your MCP configuration file (e.g., mcp_config.json) as follows:

    {
      "memoer-mcp": {
        "command": "npx",
        "args": ["memoer-mcp@latest"],
        "env": {
          "DATABASE_URL": "file:/Users/{your_username}/{any_folder_path}/memoer.db" //macOS example
        }
      }
    }
    
  4. Use the library in your project:

    import { MemoerMCP } from "@memoer-mcp";
    
    const memoer = new MemoerMCP();
    
    // Example: Adding a memory
    await memoer.addMemory({
      title: "My First Memory",
      content: "This is the content of my first memory.",
      category: "Personal"
    });
    
    // Example: Listing memories
    const memories = await memoer.listMemories();
    console.log(memories);
    

Development

  • Edit the Prisma schema in prisma/schema.prisma
  • Run npx prisma generate after changes
  • Source code in src/

This library is now fully functional and ready for use in your projects!


### MCP Configuration Example

In your `mcp_config.json`, you can configure the `memoer-mcp` command as follows:

```json
{
  "memoer-mcp": {
    "command": "npx",
    "args": ["memoer-mcp@latest"],
    "env": {
      "DATABASE_URL": "file:/Users/{your_username}/{any_folder_path}/memoer.db" //macOS example
    }
  }
}

Explanation of Configuration

  • command: This specifies the command to run, which in this case is npx to execute the memoer-mcp package.
  • args: This is an array of arguments passed to the command. Here, it specifies the package to run.
  • env: This section allows you to set environment variables needed for your application. The DATABASE_URL points to your SQLite database file.

Usage

With this setup, you can now run memoer-mcp from your command line or integrate it into your application as shown in the examples. This configuration allows you to manage memories effectively using the memoer-mcp library.

If you have any further questions or need additional examples, feel free to ask!

License

This project is licensed under the MIT License - see the LICENSE file for details.

FAQ

What is the Memoer (Persistent Memory Storage) MCP server?
Memoer (Persistent Memory Storage) is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Memoer (Persistent Memory Storage)?
This profile displays 66 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.8 out of 5—verify behavior in your own environment before production use.

Use Cases

Extended AI Capabilities

Add new capabilities to Claude beyond text generation

Example

Access external data sources, execute code, interact with tools and services

Transform Claude from chatbot to action-taking agent

Context Enhancement

Provide Claude with access to relevant context and data

Example

Load project documentation, access knowledge bases, query databases

Get more accurate, context-aware responses

Workflow Automation

Automate multi-step workflows combining AI and external tools

Example

Research → Summarize → Create document → Send notification

Complete complex tasks end-to-end without manual steps

Implementation Guide

Prerequisites

  • Claude Desktop 0.7.0+ or Cursor IDE with MCP support
  • Basic understanding of MCP architecture and capabilities
  • Access credentials for integrated services (if required)
  • Willingness to experiment and iterate on configuration

Time Estimate

15-60 minutes depending on server complexity

Installation Steps

  1. 1.Install MCP server: npm install -g [package-name] or via GitHub
  2. 2.Add server configuration to ~/.claude/mcp.json
  3. 3.Provide required credentials and configuration
  4. 4.Restart Claude Desktop to load new server
  5. 5.Test basic functionality with simple prompts
  6. 6.Explore capabilities and experiment with use cases
  7. 7.Document successful patterns for reuse

Troubleshooting

  • MCP server not loading: Check config syntax, verify installation
  • Connection errors: Check network, firewall, credentials
  • Feature not working: Read server docs, check required parameters
  • Performance issues: Monitor resource usage, check for network latency
  • Conflicts with other servers: Check port assignments, namespace collisions

Best Practices

✓ Do

  • +Read server documentation thoroughly before setup
  • +Start with simple use cases to validate functionality
  • +Test in non-production environment first
  • +Monitor resource usage and performance
  • +Keep servers updated for bug fixes and new features
  • +Document configuration for team members
  • +Use environment variables for sensitive configuration

✗ Don't

  • Don't grant overly permissive access to MCP servers
  • Don't skip reading security considerations in docs
  • Don't expose sensitive data without proper controls
  • Don't run untrusted MCP servers without code review
  • Don't ignore error messages—investigate root cause

💡 Pro Tips

  • Combine multiple MCP servers for powerful workflows
  • Create custom MCP servers for your specific needs
  • Share successful configurations with team
  • Use MCP inspector for debugging
  • Join MCP community for tips and troubleshooting

Technical Details

Architecture

Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.

Protocols

  • Model Context Protocol (MCP)
  • JSON-RPC 2.0
  • stdio or HTTP transport

Compatibility

  • Claude Desktop
  • Cursor IDE
  • Custom MCP clients

When to Use This

✓ Use When

Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.

✗ Avoid When

Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.

Integration

  • Tool composition: Chain multiple MCP tools in workflows
  • Context augmentation: Provide AI with relevant external data
  • Action delegation: Let AI execute tasks on external systems
  • Bidirectional sync: Keep AI context and external systems in sync

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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Ratings

4.866 reviews
  • Kiara Liu· Dec 28, 2024

    Useful MCP listing: Memoer (Persistent Memory Storage) is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Lucas Jackson· Dec 28, 2024

    We evaluated Memoer (Persistent Memory Storage) against two servers with overlapping tools; this profile had the clearer scope statement.

  • Kabir Johnson· Dec 20, 2024

    Memoer (Persistent Memory Storage) is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Anika Huang· Dec 4, 2024

    Memoer (Persistent Memory Storage) has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Aanya Iyer· Nov 23, 2024

    Memoer (Persistent Memory Storage) is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Jin Johnson· Nov 19, 2024

    I recommend Memoer (Persistent Memory Storage) for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Tariq Lopez· Nov 11, 2024

    Strong directory entry: Memoer (Persistent Memory Storage) surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Rahul Santra· Nov 7, 2024

    Useful MCP listing: Memoer (Persistent Memory Storage) is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Pratham Ware· Oct 26, 2024

    Memoer (Persistent Memory Storage) reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Aarav Flores· Oct 14, 2024

    We wired Memoer (Persistent Memory Storage) into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

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