OpenVikingStore integration

OpenVikingStore is a LangGraph BaseStore backed by OpenViking. Use it for long-term memory across threads in an OpenViking HTTP deployment.

Overview

OpenViking is a context database for AI agents. The langchain-openviking package includes an OpenVikingStore class for storing LangGraph values as durable OpenViking content records and indexing them for query-based search calls. This page documents the published langchain-openviking package on PyPI (v0.1.0).

Integration details

Class	Package	Local	JS support	Package downloads	Package latest
`OpenVikingStore`	`langchain-openviking`	❌	❌

Setup

To use OpenVikingStore, you need an OpenViking HTTP deployment and an API key.

Installation

Install the integration with the langgraph extra:

pip install -qU "langchain-openviking[langgraph]"

Credentials

Set your OpenViking URL and API key:

from getpass import getpass

OPENVIKING_URL = getpass("OpenViking URL: ")
OPENVIKING_API_KEY = getpass("OpenViking API key: ")

Instantiation

Instantiate OpenVikingStore with your OpenViking HTTP connection settings:

from langchain_openviking import OpenVikingStore

store = OpenVikingStore(
    url=OPENVIKING_URL,
    api_key=OPENVIKING_API_KEY,
    root_uri="viking://~/memories/langgraph_store",
)

The package default root_uri is viking://user/memories/langgraph_store. Newer OpenViking servers reject that uid-less form, so pass the viking://~ home alias (as above) or an explicit viking://user/<uid>/... URI.

Usage

Use put to write a JSON-serializable mapping under a namespace and key:

store.put(
    ("users", "ada"),
    "preferences",
    {"color": "azure"},
)

Use get to retrieve the stored item:

item = store.get(("users", "ada"), "preferences")
print(item.value)

Use search with a namespace prefix. Pass query for semantic search:

results = store.search(("users",), query="azure", limit=3)

Use delete to remove a key:

store.delete(("users", "ada"), "preferences")

API reference

For detailed documentation, see the OpenViking LangChain and LangGraph integration guide and the OpenVikingStore source for v0.1.0. See also the LangGraph store integrations list.

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Installation

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Instantiation

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API reference