Memory MCP Server
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
Memory MCP Server
Store and retrieve memories across OpenCode sessions.
Setup
cd /home/naresh/Projects/mcp-memory-server
npm installRelated MCP server: Simple Memory MCP
Usage
Start the server
npm startMemories are saved to: ~/Documents/memory-mcp/memories.json
For OpenCode Integration
Add to your OpenCode config (~/.config/opencode/opencode.jsonc):
{
"mcpServers": {
"memory": {
"command": "node",
"args": ["/home/naresh/Projects/mcp-memory-server/server.js"]
}
}
}Tools
store_memory
Store a new memory.
Input:
content: The memory content (required)type: Type of memory - preference, context, decision, learning (required)tags: Array of tags (optional)namespace: Namespace for organization (default: global)
Example:
{
"content": "Always use TypeScript, prefer Tailwind CSS",
"type": "preference",
"tags": ["typescript", "css", "ui"],
"namespace": "voice-assistant"
}search_memory
Search memories by query, type, tags, or namespace.
Input:
query: Search in content and tags (optional)type: Filter by memory type (optional)tags: Filter by tags (optional)namespace: Filter by namespace (optional)
get_memory
Retrieve a memory by ID.
Input:
id: The memory ID (required)
update_memory
Update an existing memory by ID.
Input:
id: The memory ID (required)content: New content (optional)type: New type (optional)tags: New tags (optional)namespace: New namespace (optional)
delete_memory
Delete a memory by ID.
Input:
id: The memory ID (required)
list_memories
List all memories, optionally filtered.
Input:
namespace: Filter by namespace (optional)type: Filter by type (optional)
Memory Schema
{
"id": "abc123",
"content": "User prefers Tailwind CSS",
"type": "preference",
"tags": ["css", "tailwind"],
"namespace": "voice-assistant",
"createdAt": "2026-02-11T10:00:00.000Z",
"updatedAt": "2026-02-11T10:00:00.000Z",
"accessCount": 0
}This server cannot be deployed
Maintenance
Related MCP Connectors
Persistent cloud memory for AI agents. Store and search key-value memories across sessions.
Persistent memory for AI agents. Search and store durable facts, preferences and decisions.
- mem0OAuthio.github.mem0ai
Persistent memory for AI agents: add, search, update, and delete long-term memories.
Persistent memory for AI assistants: store, search, and connect knowledge across conversations.
Related MCP Servers
- FlicenseNot gradedqualityDmaintenanceEnables AI agents to store and retrieve information persistently using key-value pairs with JSON file-based storage. Supports storing, retrieving, listing, deleting, and searching data across sessions.-
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to store and retrieve persistent memories with a web management interface. Supports creating, searching, and managing memories through natural language commands or a visual web dashboard.12 npm1MIT
- AlicenseAqualityDmaintenanceProvides persistent memory storage with advanced features like tagging, content search, and expiration settings. It enables users to create directed links between stored memories to build structured relationships and knowledge graphs.123 npmISC
- AlicenseAqualityDmaintenanceProvides persistent key-value storage with full-text search, tags, and namespaces for AI agents to maintain context across sessions.744 PyPIMIT