LangGraph tools and integration for Memanto's persistent memory
Project description
LangGraph + Memanto Integration
This package provides native LangGraph tools and a standalone memory layer for integrating Memanto's persistent, cross-session memory capabilities into LangGraph agents.
Installation
pip install langgraph-memanto
Features
- Native LangChain Tools: Easy-to-use
@toolwrappers that LangGraph agents can autonomously call (memanto_remember,memanto_recall,memanto_answer). - Cross-Session Persistence: Memories stored by your agents survive across threads, sessions, and even different agents within the same namespace.
Usage
from langgraph_memanto import create_memanto_tools
from memanto.cli.client.sdk_client import SdkClient
# Initialize the Memanto SDK Client
client = SdkClient(api_key="your_moorcheh_api_key")
# Get native LangChain tools
# The tools will automatically ensure the agent is created and activated
# the first time the LLM tries to call them!
tools = create_memanto_tools(client, "my-langgraph-agent")
# Bind them to your LLM
llm_with_tools = llm.bind_tools(tools)
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