aaronsu11/langgraph-checkpoint-dynamodb

A single-table DynamoDB implementation of the LangGraph checkpoint saver interface.

43
/ 100
Emerging

This project helps developers build intelligent applications that remember past conversations and workflows. It takes the changing 'state' of a conversational AI or multi-step process and reliably saves it to a database. The output is a robust application that can pick up exactly where it left off, allow human intervention, or even "rewind" to previous points in a conversation. Developers creating AI agents, chatbots, or complex automated workflows would use this.

Use this if you are building an AI agent or multi-step workflow with LangGraph and need a reliable, scalable way to save its progress and conversational history using AWS DynamoDB.

Not ideal if you are not using LangGraph for your application or if you prefer a different database or cloud provider for persistence.

AI-agent-development conversational-AI workflow-automation application-persistence AWS-development
No Package No Dependents
Maintenance 6 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 14 / 25

How are scores calculated?

Stars

27

Forks

5

Language

Python

License

MIT

Last pushed

Nov 01, 2025

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/llm-tools/aaronsu11/langgraph-checkpoint-dynamodb"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.