suma memory for LangChain
io.github.sumanaddanki/suma-memory
Persistent memory for Claude Code and Cursor. Stop re-explaining your project every session.
client:LangChain
transport:streamable-http
runtime:npm
Install suma memory in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"suma-memory": {
"transport": "streamable_http",
"url": "https://sumapro.quadframe.work/mcp",
}
})
tools = await client.get_tools()
get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs