vector memory for LangChain
io.github.neerajg03/vector-memory
Semantic document memory using Redis vector store. Save and recall files with natural language.
client:LangChain
transport:stdio
runtime:pypi
Install vector memory in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"vector-memory": {
"transport": "stdio",
"command": "uvx",
"args": ["mcp-server-vector-memory"],
}
})
tools = await client.get_tools()
get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs