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mcp/harbor
LangChain

context mem for LangChain

io.github.jubakitiashvili/context-mem

Persistent memory for AI agents — 98%+ retrieval recall, 99% token savings, 44 tools

client:LangChain transport:stdio runtime:npm

Install context mem in LangChain

pip install langchain-mcp-adapters 

from langchain_mcp_adapters.client import MultiServerMCPClient

client = MultiServerMCPClient({
        "context-mem": {
            "transport": "stdio",
            "command": "npx",
            "args": ["-y", "context-mem"],
        }
})

tools = await client.get_tools()

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

context mem in other clients

context mem MCP server