--- title: Deploy OpenViking on OpenShift AI to improve AI agent memory description: OpenViking is an open source context database from ByteDance's Volcengine team that replaces flat vector storage with a hierarchical virtual filesystem for AI... canonical: https://daily.dev/posts/deploy-openviking-on-openshift-ai-to-improve-ai-agent-memory-i5k10ryjm twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Deploy OpenViking on OpenShift AI to improve AI agent memory | daily.dev og:description: OpenViking is an open source context database from ByteDance's Volcengine team that replaces flat vector storage with a hierarchical virtual filesystem for AI... og:url: https://daily.dev/posts/deploy-openviking-on-openshift-ai-to-improve-ai-agent-memory-i5k10ryjm og:image: https://api.daily.dev/og/posts/I5K10rYjm.png og:image:alt: Deploy OpenViking on OpenShift AI to improve AI agent memory og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Deploy OpenViking on OpenShift AI to improve AI agent memory **[Red Hat Developer](https://daily.dev/sources/rhdev)** · 8 min read · 0 upvotes · 0 comments ## Summary OpenViking is an open source context database from ByteDance's Volcengine team that replaces flat vector storage with a hierarchical virtual filesystem for AI agent memory. Instead of dumping context into embeddings, it organizes memories, resources, and skills into directories via a viking:// protocol with tiered context loading (L0 abstract, L1 overview, L2 full content), dramatically reducing token costs compared to traditional RAG. The openviking-openshift project provides Kustomize-based deployment manifests for Red Hat OpenShift AI, running Qwen3-Embedding-0.6B and Qwen3-32B via vLLM on a shared A100 GPU with GPU time-slicing, TLS-terminated routes, and full restricted-v2 SCC compliance. The entire pipeline — embedding generation, summarization, and VLM inference — runs in-cluster with no external API dependencies. Clients can interact via REST API, Python SDK, or CLI, and sessions allow agents to accumulate persistent memories across conversations. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [Deploy an enterprise RAG chatbot with Red Hat OpenShift AI](https://daily.dev/posts/deploy-an-enterprise-rag-chatbot-with-red-hat-openshift-ai-2d2emq6qn) · Red Hat Developer · 1 upvotes · 0 comments - [Deploy Hermes Agent on OpenShift AI with vLLM model serving](https://daily.dev/posts/deploy-hermes-agent-on-openshift-ai-with-vllm-model-serving-weuzzfsos) · Red Hat Developer · 0 upvotes · 0 comments - [How to use AI agents better than 99% of people](https://daily.dev/posts/how-to-use-ai-agents-better-than-99-of-people-5tzhgrsk9) · System Design Newsletter · 1 upvotes · 0 comments - [Stop Letting Your AI Reinvent the Wheel](https://daily.dev/posts/stop-letting-your-ai-reinvent-the-wheel-s9hvd1rfu) · Medium · 0 upvotes · 0 comments --- Tags: [#python](https://daily.dev/tags/python), [#ai-agents](https://daily.dev/tags/ai-agents), [#rag](https://daily.dev/tags/rag), [#openshift](https://daily.dev/tags/openshift) [View this post on daily.dev](https://daily.dev/posts/deploy-openviking-on-openshift-ai-to-improve-ai-agent-memory-i5k10ryjm) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Deploy OpenViking on OpenShift AI to improve AI agent memory","url":"https://daily.dev/posts/deploy-openviking-on-openshift-ai-to-improve-ai-agent-memory-i5k10ryjm","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/deploy-openviking-on-openshift-ai-to-improve-ai-agent-memory-i5k10ryjm"},"datePublished":"2026-04-23T07:02:23.176Z","dateModified":"2026-04-23T07:03:09.517Z","description":"OpenViking is an open source context database from ByteDance's Volcengine team that replaces flat vector storage with a hierarchical virtual filesystem for AI...","image":"https://developers.redhat.com/sites/default/files/styles/share/public/Red%20Hat%20Openshift%20AI_0.png?itok=EGHltugp","thumbnailUrl":"https://developers.redhat.com/sites/default/files/styles/share/public/Red%20Hat%20Openshift%20AI_0.png?itok=EGHltugp","isAccessibleForFree":true,"articleSection":"Red Hat Developer","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"Red Hat Developer","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/2a8895f3216c4900bdc455585a4ad3e4","url":"https://daily.dev/sources/rhdev"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/deploy-openviking-on-openshift-ai-to-improve-ai-agent-memory-i5k10ryjm","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"python,ai-agents,rag,openshift","timeRequired":"PT8M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Red Hat Developer","item":"https://daily.dev/sources/rhdev"},{"@type":"ListItem","position":3,"name":"Deploy OpenViking on OpenShift AI to improve AI agent memory"}]} ```