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mcp/harbor
LangChain

sage for LangChain

io.github.l33tdawg/sage

Persistent, consensus-validated institutional memory for AI agents. Runs locally.

client:LangChain transport:stdio runtime:oci

Install sage in LangChain

pip install langchain-mcp-adapters 

from langchain_mcp_adapters.client import MultiServerMCPClient

client = MultiServerMCPClient({
        "sage": {
            "transport": "stdio",
            "command": "docker",
            "args": ["run", "-i", "--rm", "ghcr.io/l33tdawg/sage:11.23.10"],
        }
})

tools = await client.get_tools()

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

sage in other clients

sage MCP server