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LangChain

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

Fidelis Memory in other clients