mcpbeat Sign in

Mnema — AI Memory Layer MCP Server

by hoanglt1223 Your server? Claim it
answering

Mnema — AI Memory Layer is answering right now. Last checked 7 min ago.

Personal knowledge graph as an AI memory layer over MCP - read, save, and link your memories.

The linked repository no longer exists on GitHub — it was deleted or made private.

Uptime history 48 days of history · worst day 5%
48 days agonow
100.0%
Uptime 24h
92 of 92 checks
—
Tools
hidden behind auth
665 ms
Response time
average over 24h
authentication required
Access
streamable-http

Mnema — AI Memory Layer does not always answer

Over the last week it answered 95.6% of our checks. We check every 15 minutes, so you hear about the next outage within the hour — not from your users.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 7 min ago.

run in your terminal
claude mcp add mnema --transport http https://secondbrain.hoangha.shop/api/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "mnema": {
      "url": "https://secondbrain.hoangha.shop/api/mcp"
    }
  }
}
~/.codex/config.toml
[mcp_servers.mnema]
url = "https://secondbrain.hoangha.shop/api/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "mnema": {
      "url": "https://secondbrain.hoangha.shop/api/mcp"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "mnema": {
      "url": "https://secondbrain.hoangha.shop/api/mcp"
    }
  }
}

This endpoint answered with an authorization challenge. The server is running, but it did not say what kind of credentials it expects.

Endpoints

URLTransportStateLatencyChecked
https://secondbrain.hoangha.shop/api/mcp streamable-http needs auth 1925 ms 7 min ago

Alternatives to Mnema — AI Memory Layer

same job, measured the same way
Kairn
by primeline-ai

Local-first knowledge engine for AI agents: memory, graph, and recall over MCP.

local only
Booboo
by jessymariau

Query your AI system's wiring, knowledge, memory, agents and crons as one rooted graph over MCP.

79 installs/wk local only
Booboo
by jessedu29260-netizen

Query your AI system's wiring, knowledge, memory, agents and crons as one rooted graph over MCP.

local only
kg
by nnar1o

Local knowledge graph memory MCP server for AI assistants.

local only
Remembra — AI Memory Layer
by remembra-ai

Persistent AI memory with entity resolution, temporal knowledge graph & 11 MCP tools.

183 installs/wk local only
Shelbymcp
by studio-moser

Knowledge-graph memory server for AI tools via MCP

43 installs/wk local only
Memoro
by circassian1977-byte

Personal AI memory layer on your own computer. Read/write durable memory across MCP clients.

62 installs/wk local only
MCP Neo4j Memory
by neo4j-contrib

MCP Neo4j Knowledge Graph Memory Server

4 058 installs/wk local only

Mnema — AI Memory Layer — questions

Answers built from our own checks of this server.

Why is there no tool list for Mnema — AI Memory Layer?
The server answered our handshake with an authorization challenge, so it is running — but it will not describe its tools to an anonymous client. To see them you need to connect with your own credentials. We record it as alive, not as broken: 100.0% of checks in the last 24 hours got a reply.
Is Mnema — AI Memory Layer working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 92 of 92 checks got a reply (100.0%), average response time 665 ms. The bar chart above shows every period we have measured.
Is Mnema — AI Memory Layer still maintained?
The linked repository no longer exists on GitHub — it was deleted or made private. We show this because it changes what you can expect: an unmaintained server may keep answering for months and then stop without warning.
How do I connect Mnema — AI Memory Layer?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address. You will need your own credentials: it refuses anonymous clients.
Does Mnema — AI Memory Layer need an API key?
Yes. Every time we knock, Mnema — AI Memory Layer answers with an authorization challenge instead of its tool list — that is how we know it is running and gated rather than broken. Bring your own credentials and it will talk.
How fast is Mnema — AI Memory Layer?
It answers our handshake in 665 ms on average, which is faster than 18% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.