What is the key difference between Repomemory and Ori Memory?

Repomemory belongs to the Knowledge & Memory category with local stdio execution, while Ori Memory belongs to the Knowledge & Memory category with local stdio execution.

How do I install Repomemory or Ori Memory in Claude Desktop or Cursor?

Copy the mcpServers JSON configuration snippet provided on this page into your claude_desktop_config.json or ~/.cursor/mcp.json file and restart your AI client.

Are Repomemory and Ori Memory free or paid?

Repomemory operates under a Free / Open Source model (No auth required). Ori Memory operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

Repomemory lists 0 tools with 0 views and 2 GitHub stars. Ori Memory lists 0 tools with 1 views and 0 GitHub stars.

Can I use both Repomemory and Ori Memory together in the same MCP host?

Yes! MCP hosts like Claude Desktop, Cursor, Windsurf, Cline, and VS Code support configuring multiple servers under the mcpServers object simultaneously.

How do I install Repomemory or Ori Memory in Claude Desktop, Cursor, or Windsurf?

Both servers follow the standard Model Context Protocol configuration format. Simply copy the JSON block from the configuration section above and paste it into your AI client's mcpServers configuration object (for instance in claude_desktop_config.json or ~/.cursor/mcp.json ), then completely restart or refresh the application.

Are Repomemory and Ori Memory free to use, or do they require API keys?

Repomemory is listed under a Free / Open Source model with No auth required . Ori Memory operates under a Free / Open Source model with No auth required . If environment variables are required (such as API keys), be sure to define them under the env key in your MCP client's configuration file.

Can I run both Repomemory and Ori Memory at the same time in my AI client?

Yes! MCP clients support multi-server orchestration. You can include both repomemory and ori-memory-2 as distinct keys inside the single mcpServers object in your configuration file. Your AI assistant will automatically select and call the appropriate tool from either server during chat sessions.

Which MCP server has higher directory engagement and quality ratings?

On AllMCPs, Repomemory has a Quality Score of 37 /100 ( Fair ) with 0 views, 0 installs, and 2 GitHub stars. Ori Memory holds a Quality Score of 31 /100 ( Emerging ) with 1 views, 0 installs, and 0 GitHub stars.

Side-by-Side Model Context Protocol Comparison

Repomemory vs Ori Memory

In-depth architectural comparison of the Repomemory and Ori Memory MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.

At a Glance & Executive Verdict

Repomemory

Knowledge & Memory · Local stdio

Quality: 37/100 (Fair) | Auth: No auth required

Ori Memory

Knowledge & Memory · Local stdio

Quality: 31/100 (Emerging) | Auth: No auth required

Verdict Summary: Choose Repomemory if you need specialized Knowledge & Memory tools running via a local process. Choose Ori Memory if your workspace requires Knowledge & Memory integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.

Which MCP Server Should You Choose?

Choose Repomemory when:

You need dedicated capabilities in the Knowledge & Memory domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).

Explore Repomemory Details

Choose Ori Memory when:

You need dedicated capabilities in the Knowledge & Memory domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).

Explore Ori Memory Details

Feature & Specification Comparison

Specification	R Repomemory Knowledge & Memory	O Ori Memory Knowledge & Memory
Summary	Persistent memory for AI coding agents. Hybrid search, auto-session capture, context routing.	Persistent memory infrastructure for AI agents. Identity, knowledge graph, and search.
Category & Scope	Knowledge & Memory	Knowledge & Memory
Quality signal

Tools & Capabilities Breakdown

Repomemory Tools (0)

No explicit tool names declared in metadata yet. Check project README on main listing page.

Ori Memory Tools (0)

No explicit tool names declared in metadata yet. Check project README on main listing page.

Ready-to-Paste Client Configurations

Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).

Repomemory Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "repomemory": {
      "command": "npx",
      "args": [
        "-y",
        "repomemory"
      ]
    }
  }
}

Ori Memory Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "ori-memory-2": {
      "command": "npx",
      "args": [
        "-y",
        "ori-memory-2"
      ]
    }
  }
}

Frequently Asked Questions

Repomemory is categorized under Knowledge & Memory and uses a local stdio subprocess. In contrast, Ori Memory belongs to Knowledge & Memory using local stdio subprocess. Select Repomemory when you need capabilities focused on knowledge & memory and Ori Memory when you require tools for knowledge & memory.

More alternatives to Repomemory More alternatives to Ori Memory Knowledge & Memory category hub Canonical compare URL