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 Significant-Gravitas · Agent Tool · ★ 187.6k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is AutoGPT safe to install? View the security audit →
AutoGPT: Build, Deploy, and Run AI Agents     Deutsch | Español | français | 日本語 | 한국어 | Português | Русский | 中文 AutoGPT is a powerful platform that allows you to create, deploy, and manage continuous AI agents that automate complex workflows. Hosting Options Download to self-host (Free!) Join the Waitlist for the cloud-hosted beta (Closed Beta - Public release Coming Soon!) How to Self-Host the AutoGPT Platform [!NOTE] Setting up and hosting the AutoGPT Platform yourself is a technical process. If you'd rather something that just works,
| Stars | 187,646 |
| Forks | 45,958 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 61.7732035972002/100 |
| Open Issues | 596 |
| Last Updated | 2026-10-03 |
| Created | 2023-03-16 |
| Platforms | claude-code, python |
| Est. Tokens | ~16k |
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AutoGPT is AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.. It is categorized as a Agent Tool with 187.6k GitHub stars.
AutoGPT is primarily written in Python. It covers topics such as agentic-ai, agents, ai.
You can find installation instructions and usage details in the AutoGPT GitHub repository at github.com/Significant-Gravitas/AutoGPT. The project has 187.6k stars and 45958 forks, indicating an active community.
The top alternatives to AutoGPT on Agent Skills Hub include dify, AstrBot, ragflow. 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: