In Memoria

by pi22by7

382 downloads

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About

Persistent codebase intelligence that gives agents memory across sessions.

Details

Author: pi22by7
Downloads: 382
Categories: Other, Developer Tools

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name In Memoria

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "in memoria": {
            "in-memoria": {
                "command": "npx",
                "args": [
                    "in-memoria",
                    "server"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "in memoria": {
            "in-memoria": {
                "command": "npx",
                "args": [
                    "in-memoria",
                    "server"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "in memoria": {
            "in-memoria": {
                "command": "npx",
                "args": [
                    "in-memoria",
                    "server"
                ]
            }
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "in memoria": {
            "in-memoria": {
                "command": "npx",
                "args": [
                    "in-memoria",
                    "server"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "in memoria": {
            "in-memoria": {
                "command": "npx",
                "args": [
                    "in-memoria",
                    "server"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "in memoria": {
            "in-memoria": {
                "command": "npx",
                "args": [
                    "in-memoria",
                    "server"
                ]
            }
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "in memoria": {
            "in-memoria": {
                "command": "npx",
                "args": [
                    "in-memoria",
                    "server"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "in memoria": {
            "in-memoria": {
                "command": "npx",
                "args": [
                    "in-memoria",
                    "server"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "in memoria": {
            "in-memoria": {
                "command": "npx",
                "args": [
                    "in-memoria",
                    "server"
                ]
            }
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "in memoria": {
            "in-memoria": {
                "command": "npx",
                "args": [
                    "in-memoria",
                    "server"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "in memoria": {
            "in-memoria": {
                "command": "npx",
                "args": [
                    "in-memoria",
                    "server"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "in memoria": {
            "in-memoria": {
                "command": "npx",
                "args": [
                    "in-memoria",
                    "server"
                ]
            }
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "in memoria": {
            "in-memoria": {
                "command": "npx",
                "args": [
                    "in-memoria",
                    "server"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "in memoria": {
            "in-memoria": {
                "command": "npx",
                "args": [
                    "in-memoria",
                    "server"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "in memoria": {
            "in-memoria": {
                "command": "npx",
                "args": [
                    "in-memoria",
                    "server"
                ]
            }
        }
    }
}

From the repository

Install the npm package in-memoria and configure it as an MCP server for your AI coding assistant (e.g., Claude, Copilot, Cursor). Once configured, the server automatically learns from your codebase and provides context to the AI during sessions.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "in memoria": {
            "in-memoria": {
                "command": "npx",
                "args": [
                    "in-memoria",
                    "server"
                ]
            }
        }
    }
}

McpServers

{
    "in-memoria": {
        "command": "npx",
        "args": [
            "in-memoria",
            "server"
        ]
    }
}

In Memoria

Giving AI coding assistants a memory that actually persists.

Quick Demo

_Watch In Memoria in action: learning a codebase, providing instant context, and routing features to files._ ---

The Problem: Session Amnesia

You know the drill. You fire up Claude, Copilot, or Cursor to help with your codebase. You explain your architecture. You describe your patterns. You outline your conventions. The AI gets it, helps you out, and everything's great. Then you close the window. Next session? Complete amnesia. You're explaining the same architectural decisions again. The same naming conventions. The same "no, we don't use classes here, we use functional composition" for the fifteenth time. Every AI coding session starts from scratch. This isn't just annoying, it's inefficient. These tools re-analyze your codebase on every interaction, burning tokens and time. They give generic suggestions that don't match your style. They have no memory of what worked last time, what you rejected, or why.

The Solution: Persistent Intelligence

In Memoria is an MCP server that learns from your actual codebase and remembers across sessions. It builds persistent intelligence about your code (patterns, architecture, conventions, decisions) that AI assistants can query through the Model Context Protocol. Think of it as giving your AI pair programmer a notepad that doesn't get wiped clean every time you restart the session.

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About

Details

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Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

In Memoria

Quick Demo

The Problem: Session Amnesia

The Solution: Persistent Intelligence

Install

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