redis-developer/langgraph-redis

Redis checkpointer and store for memory management in LangGraph

56
/ 100
Established

Building AI applications often involves complex, multi-step conversations or workflows. This project helps you reliably save and restore the 'memory' or 'state' of these ongoing AI interactions using Redis, ensuring that your AI application can pick up exactly where it left off. It takes in the current state of an AI conversation or process and stores it, allowing you to retrieve it later. Developers building AI applications with LangGraph would use this.

202 stars.

Use this if you are a Python developer building conversational AI agents or multi-step AI workflows with LangGraph and need a robust, external way to manage and persist the application's state or 'memory' using Redis.

Not ideal if you are not using LangGraph or Redis, or if you only need a simple, in-memory state management solution for your AI application.

AI application development conversational AI agent systems workflow state management data persistence
No Package No Dependents
Maintenance 10 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 20 / 25

How are scores calculated?

Stars

202

Forks

38

Language

Python

License

MIT

Last pushed

Mar 12, 2026

Commits (30d)

0

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