Mnemosyne for LangChain
io.github.28naem-del/mnemosyne
Evidence-tracked local memory MCP server: one SQLite file; corrections retire dependent memories.
client:LangChain
transport:stdio
runtime:npm
Install Mnemosyne in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"mnemosyne": {
"transport": "stdio",
"command": "npx",
"args": ["-y", "mnemosy-ai"],
}
})
tools = await client.get_tools()
get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs