Skip to content
mcp/harbor
LangChain

OMEGA Memory for LangChain

io.github.omega-memory/omega-memory

Persistent memory, coordination, and learning for AI agents. Local-first, 25 MCP tools.

client:LangChain transport:stdio runtime:pypi

Install OMEGA Memory in LangChain

pip install langchain-mcp-adapters 

from langchain_mcp_adapters.client import MultiServerMCPClient

client = MultiServerMCPClient({
        "omega-memory": {
            "transport": "stdio",
            "command": "uvx",
            "args": ["omega-memory"],
        }
})

tools = await client.get_tools()

get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs

OMEGA Memory in other clients

OMEGA Memory MCP server