by volcengine · Codex Skill · ★ 23.7k
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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 | 23,740 |
| Forks | 1,765 |
| Language | Python |
| Category | Codex Skill |
| License | AGPL-3.0 |
| Quality Score | 48.738/100 |
| Open Issues | 235 |
| Last Updated | 2026-05-10 |
| Created | 2026-01-05 |
| Platforms | python |
| Est. Tokens | ~5308k |
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OpenViking is OpenViking is an open-source context database designed specifically for AI Agents(such as openclaw). OpenViking unifies the management of context (memory, resources, and skills) that Agents need throu. It is categorized as a Codex Skill with 23.7k GitHub stars.
OpenViking is primarily written in Python. It covers topics such as agent, agentic-rag, ai-agents.
You can find installation instructions and usage details in the OpenViking GitHub repository at github.com/volcengine/OpenViking. The project has 23.7k stars and 1765 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 MemOS, ragflow, mem0. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.