Fidelis Memory for LangChain
io.github.hermes-labs-ai/fidelis-memory
Recall locally stored agent memories through an MCP-compatible host.
client:LangChain
transport:stdio
runtime:pypi
Install Fidelis Memory in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"fidelis-memory": {
"transport": "stdio",
"command": "uvx",
"args": ["fidelis-memory"],
}
})
tools = await client.get_tools()
get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs