tradememory protocol for LangChain
io.github.mnemox-ai/tradememory-protocol
Tamper-evident decision audit trail and outcome-weighted memory for AI trading agents.
client:LangChain
transport:stdio
runtime:pypi
Install tradememory protocol in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"tradememory-protocol": {
"transport": "stdio",
"command": "uvx",
"args": ["tradememory-protocol"],
}
})
tools = await client.get_tools()
get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs