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DeepMem

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

Connector by deepmemteam · GitHub account verified by the MCP Registry

IndexedMITRemote (HTTP)★ 114
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Install

Works with Claude Code, VS Code, Cursor, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install connector/deepmemteam-deepmem

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

Remote endpoint

  • https://deepmem.dev/mcp Remote (HTTP)

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About

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

Use cases: agent-memory

Reviews

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No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this server can do and what it asks for, from its tool list and install config. Checked Oct 25, 2026.

Tools
1 read · 1 write · 1 delete
Secrets
1 (API keys, tokens or passwords)
Install scripts
Nothing to install (hosted)
Runs as
Hosted (remote endpoint)

Tools by what they do 3

Read from the source code; the running server may list different tools.

Read 1 · Look things up without changing anything.

  • deepmem_search

Write 1 · Create, change, send or run things.

  • deepmem_write

Delete 1 · Delete, drop, revoke or wipe things.

  • deepmem_delete

Secrets and settings it asks for

Secrets: values you paste in that let it act as you.

  • Authorization

Network hosts it talks to 1

  • deepmem.dev · found in remote endpoint, install command

Tools (3)

Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].

  • deepmem_delete

    Delete a single memory from DeepMemory by its ID. Performs a soft-delete: the record is marked deleted and retained for the configured soft-delete retention window (audit/history still sees it). For a physical wipe of a whole user, use the HTTP /v1/reset endpoint instead. The memory must belong to the given user_id scope (and agent_id / run_id when supplied), otherwise the delete is rejected. Returns the deletion result with deleted_count.

  • 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.

Signals

Stars
114
Forks
2
Open issues
1
Last commit
Aug 17, 2026 (2 months ago)
Last release
Aug 20, 2026 (2 months ago)

From GitHub (fetched Oct 24, 2026).

Details

Registry name
io.github.deepmemteam/deepmem
Version
0.1.0
Auth
Bearer token
License
MIT
Repository
github.com/deepmemteam/deepmem
Website
deepmem.dev
First seen
Oct 24, 2026
Last checked
Oct 25, 2026
Source
Official MCP Registrygithub-graphql
Cite this page

DeepMem MCP server. Agent Mart. https://agentmart.dev/connectors/deepmemteam-deepmem (last updated 2026-10-25)