DeepMem MCP Server

by deepmemteam Your server? Claim it

answering

DeepMem is answering right now. Last checked moments ago. It exposes 2 tools. Last commit 17 Aug 2026.

Mem0-compatible persistent memory for AI agents: write facts once, recall them semantically.

Uptime history 21 days of history · worst day 99%

21 days agonow

100.0%

Uptime 24h

93 of 93 checks

Tools

read from the server

510 ms

Response time

average over 24h

113

Stars

last commit 17 Aug 2026

What changed 1

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 1 September 2026. No other catalogue keeps this.

1 Sep a tool changed version

Nothing serious here today

Today is the operative word: we check DeepMem every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 0 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add deepmem --transport http https://deepmem.dev/mcp

~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "deepmem": {
      "url": "https://deepmem.dev/mcp"
    }
  }
}

~/.codex/config.toml

[mcp_servers.deepmem]
url = "https://deepmem.dev/mcp"

.cursor/mcp.json

{
  "mcpServers": {
    "deepmem": {
      "url": "https://deepmem.dev/mcp"
    }
  }
}

.vscode/mcp.json

{
  "mcpServers": {
    "deepmem": {
      "url": "https://deepmem.dev/mcp"
    }
  }
}

Available tools 2

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

deepmem

deepmem_search

Search memories stored in DeepMemory using semantic search. Returns the most relevant memories for the given query, ranked by hybrid scoring (vector similarity + BM25 keyword match + entity boost + time decay). Use this to retrieve context from past conversations before responding to the user. Memories are scoped to the user_id provided during write.

deepmem_write

Write conversation messages to DeepMemory for fact extraction and persistent storage. Messages are processed by an LLM to extract structured memories, which are then embedded and stored in a vector database for later semantic search. Set infer=True to enable LLM fact extraction (produces richer memories but costs one LLM call). Set infer=False to store raw messages without extraction. Returns a list of memory IDs for successfully stored facts.

Endpoints

URL	Transport	State	Latency	Checked
https://deepmem.dev/mcp	streamable-http	answering	449 ms	0 min ago

Alternatives to DeepMem

same job, measured the same way

Memdata

by thelabvenice

Persistent memory for AI agents. Store context, retrieve it semantically.

21 installs/wk local only

Iranti

by nfemmanuel

Persistent, shared memory for AI agents — facts, checkpoints, semantic search.

48 installs/wk local only

memex

by ayushagrawal288

Persistent memory for AI agents — semantic + recency search, ONNX embeddings, Docker Compose.

local only

YourMemory

by sachitrafa

Persistent memory for AI agents. Memories decay with time and strengthen on recall.

439 installs/wk local only

Kirok Memory

by tadfuji

Persistent memory for AI agents - hybrid semantic + keyword recall with autonomous consolidation

64 installs/wk local only

Montycat MCP - Shared Memory for AI Agents

by montygovernance

Shared, persistent memory for AI agents, with semantic recall and live updates.

1 522 installs/wk local only

Ace Memory

by rudedoggg

Persistent memory for AI agents. Semantic search, memory graph, W3C DID identity.

answering

GrantAi Memory

by solonai

Persistent memory for AI agents. Infinite context with sub-millisecond recall.

local only

DeepMem — questions

Answers built from our own checks of this server.

What can DeepMem do?

It exposes 2 tools, read directly from the server on our last check. Among them: deepmem_search, deepmem_write. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →

Is DeepMem working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 93 of 93 checks got a reply (100.0%), average response time 510 ms. The bar chart above shows every period we have measured.

How do I connect DeepMem?

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.

Does DeepMem need an API key?

No. DeepMem completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 2 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is DeepMem?

It answers our handshake in 510 ms on average, which is faster than 31% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.

Is DeepMem open source?

Yes — it is published under the MIT licence, written in Python, 113 stars on GitHub and 1 open issue. The source link is on this page, so you can read exactly what it does with your data before you connect it.