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[GH-ISSUE #2131] [langgraph]: Aerospike integration for LangGraph Checkpoint and Store #270

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opened 2026-02-17 17:19:31 -05:00 by yindo · 2 comments
yindo commented 2026-02-17 17:19:31 -05:00
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Originally created by @havvari-V0 on GitHub (Jan 7, 2026).
Original GitHub issue: https://github.com/langchain-ai/docs/issues/2131

Type of issue

request for content

Language

Python

Description

Integration Overview

We’ve built Aerospike-backed persistence integrations for LangGraph, published as standalone Python packages:

These integrations allow LangGraph users to persist graph state, checkpoints, and stored data in Aerospike, enabling durable, resumable, and scalable agent workflows.

LangGraph Surfaces Supported

  • Checkpointer (AerospikeSaver)
  • Store (AerospikeStore)

Why This Matters

Aerospike provides high-performance, low-latency persistence with TTL support and is commonly used in production systems that require durability and scale. These integrations enable LangGraph users to run long-lived and stateful agents with reliable backend storage.

Call To Action (CTA)

Could you advise on the appropriate location in the LangChain / LangGraph documentation to represent these integrations (e.g., existing memory page vs. a dedicated checkpointer/store integrations page)?
Once the correct placement is confirmed, we’re happy to submit a documentation PR.

Originally created by @havvari-V0 on GitHub (Jan 7, 2026). Original GitHub issue: https://github.com/langchain-ai/docs/issues/2131 ### Type of issue request for content ### Language Python ### Description ## Integration Overview We’ve built Aerospike-backed persistence integrations for LangGraph, published as standalone Python packages: - **Checkpointing:** `langgraph-checkpoint-aerospike` PyPI: https://pypi.org/project/langgraph-checkpoint-aerospike/ GitHub: https://github.com/aerospike/aerospike-langgraph/tree/main/packages/langgraph-checkpoint-aerospike - **Store:** `langgraph-store-aerospike` PyPI: https://pypi.org/project/langgraph-store-aerospike/ GitHub: https://github.com/aerospike/aerospike-langgraph/tree/main/packages/langgraph-store-aerospike These integrations allow LangGraph users to persist graph state, checkpoints, and stored data in Aerospike, enabling durable, resumable, and scalable agent workflows. ## LangGraph Surfaces Supported - Checkpointer (`AerospikeSaver`) - Store (`AerospikeStore`) ## Why This Matters Aerospike provides high-performance, low-latency persistence with TTL support and is commonly used in production systems that require durability and scale. These integrations enable LangGraph users to run long-lived and stateful agents with reliable backend storage. ## Call To Action (CTA) Could you advise on the appropriate location in the LangChain / LangGraph documentation to represent these integrations (e.g., existing memory page vs. a dedicated checkpointer/store integrations page)? Once the correct placement is confirmed, we’re happy to submit a documentation PR.
yindo added the langgraphexternal labels 2026-02-17 17:19:31 -05:00
yindo changed title from [langgraph]: Aerospike integration for LangGraph Checkpoint and Store to [GH-ISSUE #2131] [langgraph]: Aerospike integration for LangGraph Checkpoint and Store 2026-06-05 17:25:58 -04:00
yindo closed this issue 2026-06-05 17:25:59 -04:00
yindo commented 2026-06-05 17:25:59 -04:00
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@ccurme commented on GitHub (Mar 19, 2026):

Hello, for checkpointer integrations, please add them to the list on this page (source here).

We don't yet have a dedicated page for Store integrations. My suggestion would be to add a provider page for Aerospike here and document the store inside it. You can add cross links between that page and the checkpointer page to aid discoverability.

<!-- gh-comment-id:4090065995 --> @ccurme commented on GitHub (Mar 19, 2026): Hello, for checkpointer integrations, please add them to the list on [this page](https://docs.langchain.com/oss/python/integrations/checkpointers) (source [here](https://github.com/langchain-ai/docs/blob/main/src/oss/python/integrations/checkpointers/index.mdx)). We don't yet have a dedicated page for Store integrations. My suggestion would be to add a provider page for Aerospike [here](https://github.com/langchain-ai/docs/tree/main/src/oss/python/integrations/providers) and document the store inside it. You can add cross links between that page and the checkpointer page to aid discoverability.
yindo commented 2026-06-05 17:25:59 -04:00
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@havvari-V0 commented on GitHub (Mar 24, 2026):

Hi @ccurme, We have opened a PR above!

<!-- gh-comment-id:4122034932 --> @havvari-V0 commented on GitHub (Mar 24, 2026): Hi @ccurme, We have opened a PR above!
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