Hypermnesia MCP runs on your own machine — the client starts it, so there is no endpoint to ping. 1 052 installs a week from pypi. Last commit 17 Sep 2026.
Persistent memory for AI agents — 36 cited neuroscience mechanisms, local-first, hybrid retrieval.
We read the source, 20 h ago · rules 3dff92dd89df
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.
proc = subprocess.run(
_write(os.path.join(wiki, "reference", d, "x.md"), _SUBSTANTIVE)
exec(
with patch.dict(os.environ, {"MY_TOKEN": "secret123"}):
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
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.
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 mcp add hypermnesia-mcp -- uvx hypermnesia-mcp
{
"mcpServers": {
"hypermnesia-mcp": {
"args": [
"hypermnesia-mcp"
],
"command": "uvx"
}
}
}
[mcp_servers.hypermnesia-mcp]
command = "uvx"
args = ["hypermnesia-mcp"]
{
"mcpServers": {
"hypermnesia-mcp": {
"args": [
"hypermnesia-mcp"
],
"command": "uvx"
}
}
}
{
"mcpServers": {
"hypermnesia-mcp": {
"args": [
"hypermnesia-mcp"
],
"command": "uvx"
}
}
}
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Persistent memory for AI coding agents. #1 on LongMemEval. Local-first.
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Local-first persistent memory for coding agents and MCP clients.
Local-first persistent memory for AI agents — SQLite + local embeddings, MCP-native, no cloud.
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Token-light local memory with SQLite hybrid retrieval for MCP agents.
Answers built from our own checks of this server.