Loom runs on your own machine — the client starts it, so there is no endpoint to ping. 54 installs a week from pypi.
Local-first personal knowledge base. Cited answers from your vault via vector + graph retrieval.
The linked repository no longer exists on GitHub — it was deleted or made private.
Quiet is not dead — but it is worth knowing when it wakes up, or when someone else takes it over. We watch the repository and tell you either way.
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 loom -- uvx loom-pkm
{
"mcpServers": {
"loom": {
"args": [
"loom-pkm"
],
"command": "uvx"
}
}
}
[mcp_servers.loom]
command = "uvx"
args = ["loom-pkm"]
{
"mcpServers": {
"loom": {
"args": [
"loom-pkm"
],
"command": "uvx"
}
}
}
{
"mcpServers": {
"loom": {
"args": [
"loom-pkm"
],
"command": "uvx"
}
}
}
Persistent local AI memory. SQLite + FTS5 + vector search, knowledge graph. No cloud, no API keys.
Personal YouTube AI knowledge base powered by RAG. Query your subscribed YouTube channels.
Calypso multimodal RAG for grounded answers from docs, images, charts, and knowledge.
Minimal RAG-over-a-corpus MCP retrieval: search_knowledge returns cited chunks. Local embeddings.
Persistent memory and knowledge graph for AI assistants — keyword + vector + graph search.
Cross-session memory and hybrid RAG over your notes and docs. Local-first, with cited answers.
A collaborative substrate over your data: vector, knowledge graph, SQL, geospatial, streaming.
Persistent knowledge memory for AI agents. Hybrid search, code graph, pgvector.
Answers built from our own checks of this server.