Graph-Mem runs on your own machine — the client starts it, so there is no endpoint to ping. 62 installs a week from pypi. Last commit 21 Jul 2026.
Persistent knowledge-graph memory for AI agents, with local semantic search. No API keys.
Today is the operative word: we check Graph-Mem 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 graphmem-mcp -- uvx graphmem-mcp
{
"mcpServers": {
"graphmem-mcp": {
"args": [
"graphmem-mcp"
],
"command": "uvx"
}
}
}
[mcp_servers.graphmem-mcp]
command = "uvx"
args = ["graphmem-mcp"]
{
"mcpServers": {
"graphmem-mcp": {
"args": [
"graphmem-mcp"
],
"command": "uvx"
}
}
}
{
"mcpServers": {
"graphmem-mcp": {
"args": [
"graphmem-mcp"
],
"command": "uvx"
}
}
}
This one needs environment variables set before it will start:
GRAPHMEM_DB_PATH (Path to the SQLite database file. Defaults to .graphmem/graph.db relative to the working directory.), GRAPHMEM_EMBEDDING_MODEL (sentence-transformers model ID used for semantic search. Defaults to all-MiniLM-L6-v2, downloaded on first use.), GRAPHMEM_TRAVERSAL_NODE_BUDGET (Maximum entities visited by a single graph traversal. Defaults to 5000.), GRAPHMEM_LOG_LEVEL (Logging verbosity: DEBUG, INFO, WARNING, ERROR, or CRITICAL. Defaults to WARNING.).
The author declared them in the registry entry; get the values from the project itself.
Persistent local AI memory. SQLite + FTS5 + vector search, knowledge graph. No cloud, no API keys.
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Event-sourced knowledge graph memory for AI coding agents with semantic search
Persistent memory for AI assistants with semantic search and knowledge graph relationships.
Semantic memory for AI agents with hybrid search, knowledge graph, and consolidation
Answers built from our own checks of this server.