Memforge Memory runs on your own machine — the client starts it, so there is no endpoint to ping. 14 installs a week from npm.
Team engineering memory for AI coding assistants. 47 MCP tools, pgvector semantic search.
Today is the operative word: we check Memforge Memory 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 memforge-memory -- npx -y @memforgeai/memory-service
{
"mcpServers": {
"memforge-memory": {
"args": [
"-y",
"@memforgeai/memory-service"
],
"command": "npx"
}
}
}
[mcp_servers.memforge-memory]
command = "npx"
args = ["-y", "@memforgeai/memory-service"]
{
"mcpServers": {
"memforge-memory": {
"args": [
"-y",
"@memforgeai/memory-service"
],
"command": "npx"
}
}
}
{
"mcpServers": {
"memforge-memory": {
"args": [
"-y",
"@memforgeai/memory-service"
],
"command": "npx"
}
}
}
This one needs environment variables set before it will start:
DATABASE_URL (PostgreSQL connection string), OPENAI_BASE_URL (Embedding API base URL (OpenAI-compatible)), OPENAI_API_KEY (Embedding API key), OPENAI_EMBEDDING_MODEL (Embedding model name (e.g. BAAI/bge-m3)).
The author declared them in the registry entry; get the values from the project itself.
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Answers built from our own checks of this server.