No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by volcengine · Agent Tool · ★ 39.2k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is OpenViking safe to install? View the security audit →
OpenViking: The Context Database for AI Agents English / 中文 Website · GitHub · Issues · Docs [![][release-shield]][release-link] [![][github-stars-shield]][github-stars-link] [![][github-issues-shield]][github-issues-shield-link] [![][github-contributors-shield]][github-contributors-link] [![][license-shield]][license-shield-link] [![][last-commit-shield]][last-commit-shield-link] 👋 Join our Community 📱 Lark Group · WeChat · Discord · X Overview Challenges in Agent Development In the AI era, data is abundant, but high-quality context is hard to come by. When building AI Agents, developers often face these challenges: Fragmented Context: Memories are in code, resources are in vector databases, and skills are scattered, making them difficult to manage uniformly. Surging Context Demand: An Agent's long-running tasks produce context at every execution. Simple truncation or compression leads to
| Stars | 39,156 |
| Forks | 3,079 |
| Language | Python |
| Category | Agent Tool |
| License | AGPL-3.0 |
| Quality Score | 66.6595377960768/100 |
| Open Issues | 728 |
| Last Updated | 2026-10-03 |
| Created | 2026-01-05 |
| Platforms | python |
| Est. Tokens | ~19k |
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OpenViking is Self-evolving Context Database for AI Agents. Unify Agent Memory, Knowledge RAG and Skills.. It is categorized as a Agent Tool with 39.2k GitHub stars.
OpenViking is primarily written in Python. It covers topics such as agent-memory, agent-plugins, agentic-rag.
You can find installation instructions and usage details in the OpenViking GitHub repository at github.com/volcengine/OpenViking. The project has 39.2k stars and 3079 forks, indicating an active community.
OpenViking is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to OpenViking on Agent Skills Hub include EverOS, MemOS, open-design. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: