SuperMemory runs on your own machine — the client starts it, so there is no endpoint to ping. 61 installs a week from pypi. Last commit 14 Jun 2026.
MCP-first agent learning: capture failures, validate lessons, retrieve context, improve.
Today is the operative word: we check SuperMemory every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.
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 supermemory -- uvx supermemory-agent
{
"mcpServers": {
"supermemory": {
"command": "uvx",
"args": [
"supermemory-agent"
]
}
}
}
[mcp_servers.supermemory]
command = "uvx"
args = ["supermemory-agent"]
{
"mcpServers": {
"supermemory": {
"command": "uvx",
"args": [
"supermemory-agent"
]
}
}
}
{
"servers": {
"supermemory": {
"type": "stdio",
"command": "uvx",
"args": [
"supermemory-agent"
]
}
}
}
Optional settings from the registry entry, left out of the block above:
SUPERMEMORY_STORAGE_PATH (Local directory for .supermemory file storage), UALL_DATA_DIR (Legacy alias for SUPERMEMORY_STORAGE_PATH).
Failure-memory layer for coding agents: search evidence-rated failure lessons by error text.
Persistent memory for AI agents. Store context, retrieve it semantically.
Local-first persistent context memory MCP server for AI coding agents.
Persistent memory for AI coding agents. Hybrid search, auto-session capture, context routing.
Search personal memories and retrieve context from EverMe.
Local-first, formally verified memory for AI agents: consult/learn/related/list over MCP.
Memory that reasons: continual learning for stateful agents. Better context, fewer tokens.
Context-aware code retrieval MCP server — ranked, gated results for AI coding agents
Answers built from our own checks of this server.