langgraph-persistence

Persist LangGraph state with checkpointers, thread IDs, and cross-thread stores.

Updated May 29, 2026
One-click install
npx skills add https://github.com/patorn/langgraph-template --skill langgraph-persistence-patorn
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: langgraph-persistence
Source: https://github.com/patorn/langgraph-template/tree/main/.agents/skills/langgraph-persistence
Command: npx skills add https://github.com/patorn/langgraph-template --skill langgraph-persistence-patorn

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

LangGraph persistence enables durable execution by checkpointing graph state, thread-scoped histories, and cross-thread stores to remember conversations and travel through time.

Core Features & Use Cases

  • Checkpointer backends (InMemorySaver, SqliteSaver, PostgresSaver) to persist state across steps
  • Thread-based context with thread_id to separate conversations
  • Store for long-term memory shared across threads and subgraphs
  • Time travel and history exploration for replay or forks
  • Subgraph persistence scoping controls for interrupts and multi-turn memory

Quick Start

Configure a graph with a checkpointer and an optional store, then invoke with a unique thread_id to observe persisted state and history.

Frequently Asked Questions about langgraph-persistence

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I persist LangGraph state across multi-turn conversations?

You can persist LangGraph state by configuring a checkpointer backend such as InMemorySaver, SqliteSaver, or PostgresSaver, and providing a unique thread_id during graph invocation to maintain multi-turn memory.

What is checkpointing in LangGraph and when do I need it?

Checkpointing in LangGraph saves graph state at each execution step, enabling durable execution and time travel. You need it for applications requiring multi-turn memory, session recovery, or replaying graph states from specific points.

How do I separate conversation histories for different users in LangGraph?

You separate conversation histories by assigning a unique thread_id to each graph invocation. This thread-based scoping isolates checkpointed states, ensuring each user or session maintains an independent contextual memory.

Does LangGraph persistence work with subgraph interrupts and multi-turn memory?

Yes, LangGraph persistence supports subgraph scoping controls for interrupts and multi-turn memory. Checkpointing applies across subgraphs, allowing durable execution and state recovery within complex graph architectures.

Can I use PostgresSaver for LangGraph checkpointing in production?

Yes, PostgresSaver is a supported checkpointer backend for LangGraph persistence in production deployments. It provides durable state management and checkpointing alongside SqliteSaver and InMemorySaver for different environmental needs.

How do I share long-term memory across different LangGraph threads?

You share long-term memory across different LangGraph threads by configuring a runtime store alongside your checkpointer. The store enables cross-thread memory access, allowing subgraphs and separate conversations to retrieve shared persistent data.