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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 @tool wrappers 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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