SmartMemory runs on your own machine — the client starts it, so there is no endpoint to ping. 934 installs a week from pypi.
Graph + vector memory for agents: recall, ingest, search, distill. Local or remote backend.
Today is the operative word: we check SmartMemory 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 smartmemory-mcp -- uvx smartmemory-mcp
{
"mcpServers": {
"smartmemory-mcp": {
"command": "uvx",
"args": [
"smartmemory-mcp"
]
}
}
}
[mcp_servers.smartmemory-mcp]
command = "uvx"
args = ["smartmemory-mcp"]
{
"mcpServers": {
"smartmemory-mcp": {
"command": "uvx",
"args": [
"smartmemory-mcp"
]
}
}
}
{
"servers": {
"smartmemory-mcp": {
"type": "stdio",
"command": "uvx",
"args": [
"smartmemory-mcp"
]
}
}
}
Markdown-first long-term memory for AI agents. Hybrid BM25 + vector search, runs locally.
Associative key-graph memory for LLM agents — recall by association, not vector similarity.
Local-first memory for AI agents: SQLite FTS5, deterministic recall, no vector DB, no cloud.
Recall over your markdown notes: vector search plus your [[wikilinks]] as a graph, in SQLite.
Embedded memory for AI agents with SQLite, pgvector, and Neo4j graph search.
Shared memory + orchestration for your coding agents. Local-first MCP, vector RAG.
Persistent knowledge memory for AI agents. Hybrid search, code graph, pgvector.
Self-hosted long-term memory for AI agents over MCP — hierarchical recall backed by pgvector
Answers built from our own checks of this server.