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mcp-openmemory

by dedsxc
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Python
Remote

mcp-openmemory

A FastMCP server that exposes mem0 long-term memory to MCP clients (e.g. an AI coding agent) over SSE.

It is a thin, stateless MCP layer over an existing mem0 REST server (http://mem0:8000) — it does not run its own vector store. This keeps a single source of truth for memory (the mem0 pgvector store) instead of introducing a second, disconnected memory silo.

Tools

Tool

Purpose

search_memory(query, user_id?, limit?)

Recall memories relevant to a query. Call at the start of a task.

add_memory(text, user_id?, role?)

Store a fact/preference/exchange. Use automatically when you learn something durable, or on explicit request.

list_memories(user_id?)

List stored memories for a bucket.

delete_memory(memory_id)

Forget a single memory by id.

Memory is isolated per user_id ("bucket"). When a caller omits user_id, MEM0_DEFAULT_USER_ID is used, giving the agent a single shared memory.

Related MCP server: MemHeaven

Configuration

Environment variables (prefix MEM0_):

Variable

Default

Description

MEM0_MEM0_URL

http://mem0:8000

Base URL of the mem0 REST server

MEM0_API_KEY

(none)

Admin API key, sent as X-API-Key

MEM0_DEFAULT_USER_ID

coder-agent

Bucket used when no user_id is passed

MEM0_SEARCH_LIMIT

5

Default number of memories per search

MEM0_TIMEOUT

10

HTTP timeout (s) for reads (search/list)

MEM0_WRITE_TIMEOUT

60

HTTP timeout (s) for writes (add runs a server-side LLM extraction)

MEM0_SERVER_HOST

0.0.0.0

Bind host for the SSE server

MEM0_SERVER_PORT

8000

Bind port for the SSE server

Run

pip install -e .
openmemory-mcp-sse   # SSE at http://0.0.0.0:8000/sse
# or
openmemory-mcp       # stdio mode

Container

Built by the release-containers workflow (release-please) to ghcr.io/dedsxc/openmemory-mcp:<version> for linux/amd64,linux/arm64.

This server cannot be installed

F
license - not found
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quality - not tested
A
maintenance

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Maintenance

–Maintainers
–Response time
0dRelease cycle
2Releases (12mo)
Commit activity

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