Flagged: environment access. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by viddexa · Agent Tool · ★ 1.0k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is autollm safe to install? View the security audit →
questions | feature requests 🤔 why autollm? Simplify. Unify. Amplify. ❌
| Stars | 1,006 |
| Forks | 97 |
| Language | Python |
| Category | Agent Tool |
| License | AGPL-3.0 |
| Quality Score | 61.7512970334022/100 |
| Open Issues | 3 |
| Last Updated | 2024-01-29 |
| Created | 2023-09-21 |
| Platforms | browser, python |
| Est. Tokens | ~17k |
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autollm is Ship RAG based LLM web apps in seconds.. It is categorized as a Agent Tool with 1.0k GitHub stars.
autollm is primarily written in Python. It covers topics such as anthropic, bedrock, cohere.
You can find installation instructions and usage details in the autollm GitHub repository at github.com/viddexa/autollm. The project has 1.0k stars and 97 forks, indicating an active community.
autollm is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to autollm on Agent Skills Hub include GPTRouter, sagify, ax. 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: