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 melih-unsal · Agent Tool · ★ 1.9k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is DemoGPT safe to install? View the security audit →
🤖 Create Agents in a Second - with the Best Tools, RAG, Knowledge Graph and Vector Databases ⚡ Everything you need to create an LLM Agent is here. Access a comprehensive suite of tools, prompts, frameworks, and a knowledge hub of LLM models—all in one place to streamline your agent development. <img src="https://img.shields.io/badge/ROADMAP-english-red" alt="roadma
| Stars | 1,909 |
| Forks | 224 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 63.9051902130918/100 |
| Open Issues | 10 |
| Last Updated | 2026-04-01 |
| Created | 2023-06-07 |
| Platforms | python |
| Est. Tokens | ~1707k |
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DemoGPT is 🤖 Everything you need to create an LLM Agent—tools, prompts, frameworks, and models—all in one place.. It is categorized as a Agent Tool with 1.9k GitHub stars.
DemoGPT is primarily written in Python. It covers topics such as agent, agents, ai.
You can find installation instructions and usage details in the DemoGPT GitHub repository at github.com/melih-unsal/DemoGPT. The project has 1.9k stars and 224 forks, indicating an active community.
DemoGPT is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to DemoGPT on Agent Skills Hub include sre, swarms, archestra. 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: