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 n4ze3m · Agent Tool · ★ 1.8k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is dialoqbase safe to install? View the security audit →
⚡Dialoqbase ⚡ Create chatbots with ease Dialoqbase is an open-source application designed to facilitate the creation of custom chatbots using a personalized knowledge base. The application leverages advanced language models to generate accurate and context-aware responses. Additionally, it utilizes PostgreSQL, a robust relational database management system, for efficient vector search operations and for storing the knowledge base. Here's a demo of how it works (v0.0.23): Want to check more demo videos? Follow me on Twitter or BlueSky for more updates. Quick Deployments 🚀 Railway (One-click deployment) Installation 🛠️ Clone the repository and nav
| Stars | 1,792 |
| Forks | 272 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 66.4653110876936/100 |
| Open Issues | 41 |
| Last Updated | 2026-06-29 |
| Created | 2023-06-04 |
| Platforms | claude-code, docker, node |
| Est. Tokens | ~15k |
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dialoqbase is Create chatbots with ease. It is categorized as a Agent Tool with 1.8k GitHub stars.
dialoqbase is primarily written in TypeScript. It covers topics such as anthropic, chatbot, chatgpt.
You can find installation instructions and usage details in the dialoqbase GitHub repository at github.com/n4ze3m/dialoqbase. The project has 1.8k stars and 272 forks, indicating an active community.
dialoqbase is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to dialoqbase on Agent Skills Hub include casibase, maid, spacy-llm. 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: