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integrations/langgraph/v0.1.1

moorcheh-ai/memantointegrations/langgraph/v0.1.1Jun 9, 2026by Xenogents

AI Summary

Expands langgraph-memanto integration by providing deep native support for LangGraph's core architectural patterns, including a custom BaseStore implementation and pre-built memory nodes.

Key Highlights

  • MemantoStore as a drop-in replacement for LangGraph's BaseStore
  • Pre-built memory graph nodes: create_recall_node and create_remember_node
  • Streamlit example application demonstrating customer-support agent
  • Native support for LangGraph's cross-thread, cross-session memory abstractions

New Features

  • MemantoStore(BaseStore) implementation
  • create_recall_node for automatic context retrieval
  • create_remember_node for seamless memory extraction
  • Streamlit customer-support agent example
  • Built-in contradiction resolution logic

Full Release Notes

# Release Notes for v0.1.1

This release expands the `langgraph-memanto` integration by moving beyond standalone tools to provide deep, native support for LangGraph's core architectural patterns, including a custom `BaseStore` implementation and pre-built memory nodes.

## New Features

- **Native `BaseStore` Implementation (`MemantoStore`)**
  You can now use `MemantoStore` as a drop-in replacement for LangGraph's official `BaseStore` (alongside `InMemoryStore` or `PostgresStore`). This automatically backs LangGraph's cross-thread, cross-session memory abstractions (`store.put`, `store.search`) with Memanto's persistent semantic engine, completely abstracted away from the LLM.

- **Pre-built Memory Graph Nodes (`langgraph_memanto.nodes`)**
  Introduces `create_recall_node` and `create_remember_node`. These nodes can be directly added to your `StateGraph` to automatically retrieve relevant context before an LLM call and seamlessly extract/store new memories from the LLM's response, completely removing the need for explicit tool-calling.

## Improvements & Bug Fixes

- **New Streamlit Example Application**
  Added `memanto_base_store` to `examples/langgraph-memanto/`. This builds a robust, cross-session customer-support agent to demonstrate native `MemantoStore(BaseStore)` integration with LangGraph. It comes with a Streamlit UI, built-in contradiction resolution logic, and a detailed architectural README.

## Full Changelog
Full Changelog: [https://github.com/moorcheh-ai/memanto/commits/integrations/langgraph/v0.1.1](https://github.com/moorcheh-ai/memanto/commits/integrations/langgraph/v0.1.1)