getmnemo-langchain 0.1.0

LangChain adapter for Mnemo — drop-in BaseMemory and Retriever backed by the Mnemo SDK.

ledgermem-langchain

LangChain adapter for LedgerMem — drop-in conversational memory and retriever backed by the LedgerMem SDK.

Install

pip install ledgermem-langchain

Quickstart

from langchain.chains import ConversationChain
from langchain_openai import ChatOpenAI
from ledgermem import LedgerMem
from langchain_ledgermem import LedgerMemMemory

mem_client = LedgerMem(api_key="lm_...", workspace_id="ws_...")
chain = ConversationChain(
    llm=ChatOpenAI(model="gpt-4o-mini"),
    memory=LedgerMemMemory(client=mem_client, top_k=5),
)

print(chain.invoke({"input": "Remember that my favourite framework is FastAPI."}))
print(chain.invoke({"input": "What is my favourite framework?"}))

Retriever for RAG

from langchain_ledgermem import LedgerMemRetriever

retriever = LedgerMemRetriever(client=mem_client, top_k=8)
docs = retriever.invoke("show me what I said about deployments")
for doc in docs:
    print(doc.metadata.get("score"), doc.page_content)

What you get

• LedgerMemMemory — implements langchain_core.memory.BaseMemory. Auto-saves every user / AI turn and rehydrates the top-K relevant prior turns by semantic search.
• LedgerMemRetriever — implements langchain_core.retrievers.BaseRetriever. Returns LangChain Document objects with score and memory_id in metadata.

License

MIT — see LICENSE.