Mem Context runs on your own machine — the client starts it, so there is no endpoint to ping. 73 installs a week from pypi.
Temporal memory MCP server with LanceDB vector search, weight-decay scoring, and LLM consolidation
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 mem-context -- uvx mem-context
{
"mcpServers": {
"mem-context": {
"command": "uvx",
"args": [
"mem-context"
]
}
}
}
[mcp_servers.mem-context]
command = "uvx"
args = ["mem-context"]
{
"mcpServers": {
"mem-context": {
"command": "uvx",
"args": [
"mem-context"
]
}
}
}
{
"servers": {
"mem-context": {
"type": "stdio",
"command": "uvx",
"args": [
"mem-context"
]
}
}
}
Local FAISS vector database for RAG with document ingestion, semantic search, and MCP prompts.
MCP server exposing HouyiDB vector search, collection status, and opt-in writes.
Hybrid vector + reasoning retrieval, agent memory, multi-agent orchestration, MCP server, and RAG.
Local Markdown search, navigation and editing via MCP, with optional vector embeddings.
MCP server for Milvus: collections, stats, search. Works with any instance.
Encrypted-first embedded database with vector search and agent memory, exposed as MCP tools
MCP memory server for AI coding assistants. Windows Service, ONNX embeddings, SQLite vector search.
MCP server for Weaviate: collections, objects, GraphQL search. Works with any instance.
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