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integrations/langgraph/v0.1.0

teamhanko/hankointegrations/langgraph/v0.1.0Jun 4, 2026by Xenogents

AI Summary

Initial release of langgraph-memanto, a package providing native tools to integrate Memanto's persistent, cross-agent memory capabilities into LangGraph workflows.

Key Highlights

  • Persistent Memory Tools: Three optimized LangChain tools (memanto_remember, memanto_recall, memanto_answer).
  • Automatic Agent Initialization: Zero setup code required; tools automatically create and activate agent sessions.
  • Serverless Architecture: Tools communicate directly with Moorcheh Cloud API without needing local memanto serve.
  • Cross-Session Persistence: Agents can store and recall memories across separate runs using a shared agent_id.
  • Semantic Type System: Tools guide LLMs to categorize memories using 13 distinct semantic types with confidence scores.

New Features

  • Native LangGraph integration tools
  • Automatic agent lifecycle management
  • Serverless SDK client wrapper
  • Cross-thread memory persistence
  • Semantic memory categorization and tagging

Full Release Notes

# Release Notes for v0.1.0

This initial release introduces `langgraph-memanto`, a standalone package providing native tools to integrate [Memanto's](https://memanto.ai) persistent, cross-agent memory capabilities directly into your [LangGraph](https://langchain-ai.github.io/langgraph/) workflows.

## New Features

- **Persistent Memory Tools** (`langgraph_memanto.tools`)
  - Includes three highly optimized LangChain tools (`memanto_remember`, `memanto_recall`, and `memanto_answer`) ready to be bound to your LLMs and invoked by LangGraph agents.
- **Automatic Agent Initialization**
  - Tool execution dynamically handles the lifecycle of Memanto agents. The tools automatically create and activate the agent session behind the scenes the first time the LLM attempts to interact with memory, requiring zero setup code from the developer.
- **Serverless Architecture**
  - Wraps the Memanto SDK (`SdkClient`), allowing tools to communicate directly with the Moorcheh Cloud API without the need to run `memanto serve` locally.
- **Cross-Session Persistence**
  - Agents can store memories in one run and recall them in completely separate future runs or threads using a shared `agent_id`.
- **Semantic Type System**
  - The tools guide the LLM to categorize stored memories using 13 distinct semantic types (e.g., `fact`, `observation`, `decision`, `preference`), and the LLM determines and assigns confidence scores and custom tags.

## Improvements

- **Documentation & Examples**
  - Updated LangGraph integration documentation.
  - Revamped `examples/langgraph-memanto/` demonstrating basic tool usage, cross-session persistence, a custom state checkpointer, and a full multi-agent research pipeline.

## Full Changelog

Full Changelog: https://github.com/moorcheh-ai/memanto/commits/integrations/langgraph/v0.1.0