SmartMemory runs on your own machine — the client starts it, so there is no endpoint to ping. 1 640 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": {
"args": [
"smartmemory-mcp"
],
"command": "uvx"
}
}
}
[mcp_servers.smartmemory-mcp]
command = "uvx"
args = ["smartmemory-mcp"]
{
"mcpServers": {
"smartmemory-mcp": {
"args": [
"smartmemory-mcp"
],
"command": "uvx"
}
}
}
{
"mcpServers": {
"smartmemory-mcp": {
"args": [
"smartmemory-mcp"
],
"command": "uvx"
}
}
}
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.
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
Persistent local AI memory. SQLite + FTS5 + vector search, knowledge graph. No cloud, no API keys.
Persistent semantic memory for AI agents using local ChromaDB vector search. No cloud required.
Answers built from our own checks of this server.