AI Agent Memory MCP Server

by xiangzi1126

366 downloads

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About

Agent-agnostic persistent memory as an MCP Server (SQLite + Chroma + Markdown)

Details

Author: xiangzi1126
Downloads: 366
Categories: Knowledge Base, AI

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 AI Agent Memory MCP Server

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": {
        "ai agent memory mcp server": {
            "ai-memory": {
                "command": "python",
                "args": [
                    "-m",
                    "ai_memory",
                    "--agent",
                    "claude-code",
                    "--project-from-cwd"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "ai agent memory mcp server": {
            "ai-memory": {
                "command": "python",
                "args": [
                    "-m",
                    "ai_memory",
                    "--agent",
                    "claude-code",
                    "--project-from-cwd"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "ai agent memory mcp server": {
            "ai-memory": {
                "command": "python",
                "args": [
                    "-m",
                    "ai_memory",
                    "--agent",
                    "claude-code",
                    "--project-from-cwd"
                ]
            }
        }
    }
}

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": {
        "ai agent memory mcp server": {
            "ai-memory": {
                "command": "python",
                "args": [
                    "-m",
                    "ai_memory",
                    "--agent",
                    "claude-code",
                    "--project-from-cwd"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "ai agent memory mcp server": {
            "ai-memory": {
                "command": "python",
                "args": [
                    "-m",
                    "ai_memory",
                    "--agent",
                    "claude-code",
                    "--project-from-cwd"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "ai agent memory mcp server": {
            "ai-memory": {
                "command": "python",
                "args": [
                    "-m",
                    "ai_memory",
                    "--agent",
                    "claude-code",
                    "--project-from-cwd"
                ]
            }
        }
    }
}

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": {
        "ai agent memory mcp server": {
            "ai-memory": {
                "command": "python",
                "args": [
                    "-m",
                    "ai_memory",
                    "--agent",
                    "claude-code",
                    "--project-from-cwd"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "ai agent memory mcp server": {
            "ai-memory": {
                "command": "python",
                "args": [
                    "-m",
                    "ai_memory",
                    "--agent",
                    "claude-code",
                    "--project-from-cwd"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "ai agent memory mcp server": {
            "ai-memory": {
                "command": "python",
                "args": [
                    "-m",
                    "ai_memory",
                    "--agent",
                    "claude-code",
                    "--project-from-cwd"
                ]
            }
        }
    }
}

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": {
        "ai agent memory mcp server": {
            "ai-memory": {
                "command": "python",
                "args": [
                    "-m",
                    "ai_memory",
                    "--agent",
                    "claude-code",
                    "--project-from-cwd"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "ai agent memory mcp server": {
            "ai-memory": {
                "command": "python",
                "args": [
                    "-m",
                    "ai_memory",
                    "--agent",
                    "claude-code",
                    "--project-from-cwd"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "ai agent memory mcp server": {
            "ai-memory": {
                "command": "python",
                "args": [
                    "-m",
                    "ai_memory",
                    "--agent",
                    "claude-code",
                    "--project-from-cwd"
                ]
            }
        }
    }
}

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": {
        "ai agent memory mcp server": {
            "ai-memory": {
                "command": "python",
                "args": [
                    "-m",
                    "ai_memory",
                    "--agent",
                    "claude-code",
                    "--project-from-cwd"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "ai agent memory mcp server": {
            "ai-memory": {
                "command": "python",
                "args": [
                    "-m",
                    "ai_memory",
                    "--agent",
                    "claude-code",
                    "--project-from-cwd"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "ai agent memory mcp server": {
            "ai-memory": {
                "command": "python",
                "args": [
                    "-m",
                    "ai_memory",
                    "--agent",
                    "claude-code",
                    "--project-from-cwd"
                ]
            }
        }
    }
}

From the repository

{
  "mcpServers": {
    "ai-memory": {
      "command": "python",
      "args": [
        "-m",
        "ai_memory",
        "--agent",
        "claude-code",
        "--project-from-cwd"
      ]
    }
  }
}

Claude Desktop / Cursor

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

{
    "mcpServers": {
        "ai agent memory mcp server": {
            "ai-memory": {
                "command": "python",
                "args": [
                    "-m",
                    "ai_memory",
                    "--agent",
                    "claude-code",
                    "--project-from-cwd"
                ]
            }
        }
    }
}

McpServers

{
    "ai-memory": {
        "command": "python",
        "args": [
            "-m",
            "ai_memory",
            "--agent",
            "claude-code",
            "--project-from-cwd"
        ]
    }
}

AI Agent Memory MCP is a local-first, agent-agnostic persistent memory server for MCP
clients including Claude Code, Qoder, and Cursor. Memories persist across sessions in
your project's .ai-memory/ directory, backed by SQLite (structured store + FTS5
keyword search), Chroma (vector embeddings), and a human-readable Markdown mirror. The
store travels with the project and is shared across agents, with source_agent
tracking who wrote what. Retrieval fuses three signals: vector similarity, keyword
(FTS5 trigram), and title/tag matching. Embedding works with any OpenAI-compatible
service (Volcengine doubao-embedding-vision, SiliconFlow, OpenAI). Eight tools:
remember, recall, get_memory, search_memories, update_memory, forget, list_memories,
who_am_i. Install with pip install ai-agent-memory-mcp.

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Setting up with Highlight

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