memharness for LangChain
io.github.las7/memharness
Bi-temporal, provenance-carrying long-term memory for AI agents, in one SQLite file.
client:LangChain
transport:stdio
runtime:npm
Install memharness in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"memharness": {
"transport": "stdio",
"command": "npx",
"args": ["-y", "@memharness/mcp"],
}
})
tools = await client.get_tools()
get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs