Synap memory integration for LangChain
Project description
maximem-synap-langchain
Synap memory integration for LangChain.
Install
pip install maximem-synap-langchain
Requires langchain-core>=0.3, maximem-synap>=0.2.0.
What's in the box
SynapChatMessageHistory—BaseChatMessageHistoryfor use withRunnableWithMessageHistory. Persists conversation turns to Synap's short-term + long-term memory.SynapRetriever—BaseRetrieverfor RAG pipelines. Returns typed memory items (memories, entities, triples, chunks) viasdk.fetch.SynapSearchTool/SynapStoreTool— Agent tools for explicit memory read/write inside a tool-using LangChain agent.SynapCallbackHandler— Zero-config callback that auto-records LLM input/output as conversation turns.create_synap_node— Helper that builds a LangGraph-compatible node which injects retrieved Synap context into graph state.
Quickstart
from langchain_core.runnables.history import RunnableWithMessageHistory
from maximem_synap import MaximemSynapSDK
from synap_langchain import SynapChatMessageHistory
sdk = MaximemSynapSDK(api_key="sk-...")
def get_history(session_id: str) -> SynapChatMessageHistory:
return SynapChatMessageHistory(sdk, user_id=session_id, customer_id="acme")
chain_with_memory = RunnableWithMessageHistory(
chain,
get_history,
input_messages_key="input",
history_messages_key="history",
)
License
Apache-2.0
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