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 Tencent · Agent Tool · ★ 32.3k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is WeKnora safe to install? View the security audit →
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| Stars | 32,288 |
| Forks | 4,305 |
| Language | Go |
| Category | Agent Tool |
| Quality Score | 62.6259999882814/100 |
| Open Issues | 675 |
| Last Updated | 2026-10-01 |
| Created | 2025-07-22 |
| Platforms | go |
| Est. Tokens | ~23k |
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WeKnora is Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.. It is categorized as a Agent Tool with 32.3k GitHub stars.
WeKnora is primarily written in Go. It covers topics such as agent, agentic, ai.
You can find installation instructions and usage details in the WeKnora GitHub repository at github.com/Tencent/WeKnora. The project has 32.3k stars and 4305 forks, indicating an active community.
The top alternatives to WeKnora on Agent Skills Hub include ragflow, open-webui, langchain. 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: