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OpenViking context database for AI agents — filesystem-paradigm context management with tiered loading (L0/L1/L2), hierarchical retrieval, and automatic session memory. Alternative/complement to flat RAG for agent context.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/InugamiDev/ultrathink-oss --skill openviking命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
Unified design foundations — design system architecture, tokens, component specs, visual principles, creative vision, figma integration, plus brand design system loader (66 real brands via DESIGN.md). Absorbs design, design-system, design-systems, design-principles, design-router, creative-vision, figma, design-md.
Render, summarize, and present markdown documents and structured content in multiple output modes
Ultra UI skill - combines Google's DESIGN.md spec (machine-readable design tokens) with the ui-ux-pro-max knowledge base (91 styles, 161 palettes, 73 font pairings, 161 products, 104 UX guidelines, 25 chart types). Generates lint-clean DESIGN.md files, validates token references and WCAG contrast, exports Tailwind/DTCG tokens, and diffs design systems version-over-version.
基于 SOC 职业分类
正在显示 SKILL.md
| name | openviking |
| description | OpenViking context database for AI agents — filesystem-paradigm context management with tiered loading (L0/L1/L2), hierarchical retrieval, and automatic session memory. Alternative/complement to flat RAG for agent context. |
| triggers | ["context database","agent context","openviking","hierarchical context","viking context","context management agent","tiered context"] |
| linksTo | ["rag","ai-agents","context-engineering"] |
Open-source context management system using filesystem paradigm for AI agents. Source: https://github.com/volcengine/OpenViking | Stars: 6K+
OpenViking treats agent context like a filesystem (viking:// protocol):
Reduces token consumption vs loading full context every turn.
pip install openviking --upgrade --force-reinstall
Requirements: Python 3.10+, Go 1.22+, C++ compiler
Config (~/.openviking/ov.conf):
[embedding]
provider = "openai" # or volcengine, litellm
[vlm]
provider = "openai"
model = "gpt-4o"
# Add a resource to the context DB
ov add-resource ./docs/architecture.md --tags "architecture,backend"
# Search context
ov find "authentication patterns"
ov grep "database schema"
# Start VikingBot agent
ov bot start
viking://
├── memories/ # Session memories (auto-extracted)
├── resources/ # Documents, code, specs
├── skills/ # Agent capabilities
└── preferences/ # User/project preferences
| Feature | UltraThink | OpenViking |
|---|---|---|
| Storage | Neon Postgres + pgvector | Filesystem + vector index |
| Retrieval | Category/scope SQL | Hierarchical directory |
| Context tiers | Single level | L0/L1/L2 progressive |
| Session mgmt | Custom hooks | Built-in auto-extract |
| Language | TypeScript | Python + Go |
OpenViking can serve as the resource/document layer for UltraThink — store large reference docs in OpenViking for efficient tiered retrieval while UltraThink handles episodic memory (solutions, patterns, decisions).
# Index UltraThink skills into OpenViking
ov add-resource .claude/skills/ --recursive --tags "skills"
ov add-resource memory/src/ --tags "memory,typescript"