Hypermnesia MCP Server

by cdeust Your server? Claim it

local only

Hypermnesia MCP runs on your own machine — the client starts it, so there is no endpoint to ping. 518 installs a week from pypi. Last commit 29 Oct 2026.

Persistent memory for AI agents — 36 cited neuroscience mechanisms, local-first, hybrid retrieval.

Installs per day peak 252 · avg 95 · -8% w/w

a month agotoday

518

Installs / week

pypi · hypermnesia-mcp

Stars

52 open issues

29 Oct 2026

Last commit

from GitHub

MIT

License

Python

What the code does

We read the source, 3 d ago · rules 995398eba69f

Capabilities

What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.

Runs an external command mcp_server/infrastructure/pipeline_installer_common.py:30, [пакет] mcp_server/infrastructure/pipeline_installer_common.py:30, [пакет] tests_py/infrastructure/test_groomer_coordinator.py:194 и ещё 53

        proc = subprocess.run(

Builds a file path from a variable [пакет] tests_py/core/test_wiki_coverage.py:169, mcp_server/handlers/consolidation/page_io.py:52, mcp_server/infrastructure/wiki_page_fs.py:20 и ещё 10

            _write(os.path.join(wiki, "reference", d, "x.md"), _SUBSTANTIVE)

Executes code built at runtime tests_py/_memory_read_fakes.py:45, [пакет] mcp_server/doctor_mcp.py:510, [пакет] tests_py/_memory_read_fakes.py:45 и ещё 3

    exec(

Dumps the whole environment tests_py/infrastructure/_capture_worker_fixture.py:77, [пакет] tests_py/handlers/test_remember_preflight.py:168, [пакет] tests_py/hooks/test_worker_log_rotation.py:25 и ещё 4

        environment = dict(os.environ, CORTEX_CLAUDE_DIR=str(self.root))

Image runs as root docker/Dockerfile:170

USER root

# Copy Cortex source

Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.

This code can reach further than it looks

We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.

Connect this server

This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add hypermnesia-mcp -- uvx hypermnesia-mcp

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

{
  "mcpServers": {
    "hypermnesia-mcp": {
      "command": "uvx",
      "args": [
        "hypermnesia-mcp"
      ]
    }
  }
}

~/.codex/config.toml

[mcp_servers.hypermnesia-mcp]
command = "uvx"
args = ["hypermnesia-mcp"]

.cursor/mcp.json

{
  "mcpServers": {
    "hypermnesia-mcp": {
      "command": "uvx",
      "args": [
        "hypermnesia-mcp"
      ]
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "hypermnesia-mcp": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "hypermnesia-mcp"
      ]
    }
  }
}

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Hypermnesia MCP — questions

Answers built from our own checks of this server.

Why is there no uptime for Hypermnesia MCP?

Hypermnesia MCP runs on your own machine over stdio — there is no network address to reach, so uptime cannot be measured for it by anyone. What can be measured is adoption: the pypi package hypermnesia-mcp was installed 518 times last week.

How do I connect Hypermnesia MCP?

Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It runs locally, so the command pulls hypermnesia-mcp straight from pypi; nothing to host, nothing to sign up for.

How many people use Hypermnesia MCP?

The pypi package hypermnesia-mcp was installed 518 times in the last week. Week over week that is -8%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.

Is Hypermnesia MCP open source?

Yes — it is published under the MIT licence, written in Python, 76 stars on GitHub and 52 open issues. The source link is on this page, so you can read exactly what it does with your data before you connect it.