ultramem-mcp
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@ultramem-mcpget my profile"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
ultramem-mcp
Give any MCP client durable, cross-session memory. An MCP server that exposes an UltraMem deployment's memory layer to Claude Desktop/Code, Cursor, and any other MCP client — so your agent remembers across sessions.
It's a thin client of the UltraMem HTTP API: every tool is a call to your running ultramem-server, so there's one source of truth and nothing to keep in sync.
Tools
Tool | What it does | API |
| Semantic search → relevant documents + distilled facts |
|
| Newest-first enumeration over a recent window (optionally by source) |
|
| Write a memory back (task outcomes, user statements) |
|
| The standing static + dynamic profile to inject as context |
|
Related MCP server: LedgerMem MCP Server
Prerequisites
A running UltraMem server (see the UltraMem repo — cargo run -p ultramem-server or docker compose up). You need its URL and API key.
Install (one line)
No clone, no build — npx runs it straight from GitHub:
claude mcp add ultramem \
-e ULTRAMEM_API_URL=http://localhost:8080 \
-e ULTRAMEM_API_KEY=your-key \
-e ULTRAMEM_CONTAINER_TAG=user_123 \
-- npx -y github:Akpughe/ultramem-mcp{
"mcpServers": {
"ultramem": {
"command": "npx",
"args": ["-y", "github:Akpughe/ultramem-mcp"],
"env": {
"ULTRAMEM_API_URL": "http://localhost:8080",
"ULTRAMEM_API_KEY": "your-key",
"ULTRAMEM_CONTAINER_TAG": "user_123"
}
}
}
}Configuration
Env var | Required | Default | Purpose |
| no |
| Base URL of your |
| yes (if the server enforces auth) | — | Sent as |
| no | server default | Namespace (one per user/agent). A tool's |
Security: the API key scopes a namespace — treat it like a password and never commit it.
The agent pattern
On session start, call get_profile and prepend it to the system prompt ("what you always know about the user"). During the task, recall_search for specifics and add_memory to persist outcomes. That's the "always-known context" trick, self-hosted.
Develop locally
git clone https://github.com/Akpughe/ultramem-mcp && cd ultramem-mcp
npm install # also builds via the prepare script
node dist/index.js # speaks JSON-RPC over stdioSmoke-test by hand:
echo '{"jsonrpc":"2.0","id":1,"method":"tools/list","params":{}}' \
| ULTRAMEM_API_URL=http://localhost:8080 node dist/index.jsLicense
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Related MCP Servers
AlicenseNot gradedqualityDmaintenanceMCP server providing managed persistent memory for AI agents. Read and write structured state across sessions, tools, and restarts at 1000+ requests per second, with no infrastructure to self-host or operate.2Apache 2.0
LedgerMem MCP Serverofficial
AlicenseNot gradedqualityBmaintenanceEnables persistent memory storage and retrieval for MCP clients, allowing AI assistants to remember facts and context across conversations.10MIT- FlicenseNot gradedqualityBmaintenancePortable long-term memory store for agents, exposed over MCP.
- AlicenseNot gradedqualityBmaintenanceProvides long-term memory for AI agents via MCP tools to store, recall, and delete memories, with per-user scoping and usage limits.AGPL 3.0
Related MCP Connectors
Shared, governed long-term memory for AI agents across tools and sessions via MCP and REST.
Cross-vendor AI memory over MCP. One semantic store, readable and writeable from every MCP client.
Cloud-hosted MCP server for durable AI memory
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