mcp-knowledge-graph

MCP Knowledge Graph

Persistent memory for AI models through a local knowledge graph.

Store and retrieve information across conversations using entities, relations, and observations. Works with Claude Code/Desktop and any MCP-compatible AI platform.

Why ".aim" and "aim_memory_" prefixes?

AIM stands for AI Memory - the core concept of this system. The three AIM elements provide clear organization and safety:

• .aim directories: Keep AI memory files organized and easily identifiable
• aim_memory_ tool prefixes: Group all memory tools together and make their purpose obvious
• _aim safety markers: Each memory file starts with {"type":"_aim","source":"mcp-knowledge-graph"} to prevent accidental overwrites of unrelated JSONL files

This consistent AIM naming makes it obvious which directories, tools, and files belong to the AI memory system.

CRITICAL: Understanding .aim dir vs _aim file marker

Two different things with similar names:

• .aim = Project-local directory name (MUST be named exactly .aim for project detection to work)
• _aim = File safety marker (appears inside JSONL files: {"type":"_aim","source":"mcp-knowledge-graph"})

For project-local storage:

• Directory MUST be named .aim in your project root
• Example: my-project/.aim/memory.jsonl
• The system specifically looks for this exact name

For global storage (--memory-path):

• Can be ANY directory you want
• Examples: ~/yourusername/.aim/, ~/memories/, ~/Dropbox/ai-memory/, ~/Documents/ai-data/
• Complete flexibility - choose whatever location works for you

Storage Logic

File Location Priority:

• Project with .aim - Uses .aim/memory.jsonl (project-local)
• No project/no .aim - Uses configured global directory
• Contexts - Adds suffix: memory-work.jsonl, memory-personal.jsonl

Safety System:

• Every memory file starts with {"type":"_aim","source":"mcp-knowledge-graph"}
• System refuses to write to files without this marker
• Prevents accidental overwrite of unrelated JSONL files

Master Database Concept

The master database is your primary memory store - used by default when no specific database is requested. It's always named default in listings and stored as memory.jsonl.

• Default Behavior: All memory operations use the master database unless you specify a different one
• Always Available: Exists in both project-local and global locations
• Primary Storage: Your main knowledge graph that persists across all conversations
• Named Databases: Optional additional databases (work, personal, health) for organizing specific topics

Key Features

• Master Database: Primary memory store used by default for all operations
• Multiple Databases: Optional named databases for organizing memories by topic
• Project Detection: Automatic project-local memory using .aim directories
• Location Override: Force operations to use project or global storage
• Safe Operations: Built-in protection against overwriting unrelated files
• Database Discovery: List all available databases in both locations

Quick Start

Global Memory (Recommended)

Add to your claude_desktop_config.json or .claude.json. Two common approaches:

Option 1: Default .aim directory (simple)

{
  "mcpServers": {
    "Aim-Memory-Bank": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-knowledge-graph",
        "--memory-path",
        "/Users/yourusername/.aim"
      ]
    }
  }
}

Option 2: Dropbox/cloud sync (portable)

For accessing memories across multiple machines, use a synced folder. This is how the author of this MCP server keeps his own memories:

{
  "mcpServers": {
    "Aim-Memory-Bank": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-knowledge-graph",
        "--memory-path",
        "/Users/yourusername/Dropbox/ai-memory"
      ]
    }
  }
}

This creates memory files in your specified directory:

• memory.jsonl - Master Database (default for all operations)
• memory-work.jsonl - Work database
• memory-personal.jsonl - Personal database
• etc.

Project-Local Memory

In any project, create a .aim directory:

mkdir .aim

Now memory tools automatically use .aim/memory.jsonl (project-local master database) instead of global storage when run from this project.

How AI Uses Databases

Once configured, AI models use the master database by default or can specify named databases with a context parameter. New databases are created automatically - no setup required:

// Master Database (default - no context needed)
aim_memory_store({
  entities: [{
    name: "John_Doe",
    entityType: "person",
    observations: ["Met at conference"]
  }]
})

// Work database
aim_memory_store({
  context: "work",
  entities: [{
    name: "Q4_Project",
    entityType: "project",
    observations: ["Due December 2024"]
  }]
})

// Personal database
aim_memory_store({
  context: "personal",
  entities: [{
    name: "Mom",
    entityType: "person",
    observations: ["Birthday March 15th"]
  }]
})

// Master database in specific location
aim_memory_store({
  location: "global",
  entities: [{
    name: "Important_Info",
    entityType: "reference",
    observations: ["Stored in global master database"]
  }]
})

File Organization

Global Setup:

/Users/yourusername/.aim/
├── memory.jsonl           # Master Database (default)
├── memory-work.jsonl      # Work database
├── memory-personal.jsonl  # Personal database
└── memory-health.jsonl    # Health database

Project Setup:

my-project/
├── .aim/
│   ├── memory.jsonl       # Project Master Database (default)
│   └── memory-work.jsonl  # Project Work database
└── src/

Available Tools

• aim_memory_store - Store new memories (people, projects, concepts)
• aim_memory_add_facts - Add facts to existing memories
• aim_memory_link - Link two memories together
• aim_memory_search - Search memories by keyword
• aim_memory_get - Retrieve specific memories by exact name
• aim_memory_read_all - Read all memories in a database
• aim_memory_list_stores - List available databases
• aim_memory_forget - Forget memories
• aim_memory_remove_facts - Remove specific facts from a memory
• aim_memory_unlink - Remove links between memories

Parameters

• context (optional) - Specify named database (work, personal, etc.). Defaults to master database
• location (optional) - Force project or global storage location. Defaults to auto-detection

Database Discovery

Use aim_memory_list_stores to see all available databases:

{
  "project_databases": [
    "default",      // Master Database (project-local)
    "project-work"  // Named database
  ],
  "global_databases": [
    "default",      // Master Database (global)
    "work",
    "personal",
    "health"
  ],
  "current_location": "project (.aim directory detected)"
}

Key Points:

• "default" = Master Database in both locations
• Current location shows whether you're using project or global storage
• Master database exists everywhere - it's your primary memory store
• Named databases are optional additions for specific topics

Configuration Examples

Important: Always specify --memory-path to control where your memory files are stored.

Auto-approve read operations (recommended):

{
  "mcpServers": {
    "Aim-Memory-Bank": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-knowledge-graph",
        "--memory-path",
        "/Users/yourusername/.aim"
      ],
      "autoapprove": [
        "aim_memory_search",
        "aim_memory_get",
        "aim_memory_read_all",
        "aim_memory_list_stores"
      ]
    }
  }
}

Troubleshooting

"File does not contain required _aim safety marker" error:

• The file may not belong to this system
• Manual JSONL files need {"type":"_aim","source":"mcp-knowledge-graph"} as first line
• If you created the file manually, add the _aim marker or delete and let the system recreate it

Memories going to unexpected locations:

• Check if you're in a project directory with .aim folder (uses project-local storage)
• Otherwise uses the configured global --memory-path directory
• Use aim_memory_list_stores to see all available databases and current location
• Use ls .aim/ or ls /Users/yourusername/.aim/ to see your memory files

Too many similar databases:

• AI models try to use consistent names, but may create variations
• Manually delete unwanted database files if needed
• Encourage AI to use simple, consistent database names
• Remember: Master database is always available as the default - named databases are optional

Requirements

• Node.js 18+
• MCP-compatible AI platform

License

MIT