integrations/langgraph/v0.1.1

fosrl/pangolinintegrations/langgraph/v0.1.1Jun 9, 2026by Xenogents

AI Summary

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

Key Highlights

  • Native `MemantoStore` implementation as a drop-in replacement for LangGraph's BaseStore.
  • Pre-built memory graph nodes (`create_recall_node` and `create_remember_node`).
  • New Streamlit example application demonstrating the integration.

New Features

  • MemantoStore class implementation.
  • create_recall_node function.
  • create_remember_node function.
  • Streamlit example application.

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)