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 hassancs91 · Agent Tool · ★ 219
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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SimplerLLM Your Easy Pass to Advanced AI - A comprehensive Python library for simplified Large Language Model interactions. Overview SimplerLLM is an open-source Python library designed to simplify interactions with Large Language Models (LLMs) for researchers, developers, and AI enthusiasts. It provides a unified interface for multiple LLM providers, robust tools for content processing, and advanced features like reliable failover systems and intelligent routing. 📚 Full Documentation Installation Optional Dependencies For voice/audio features (AudioPlayer file playback): Key Features 🔗 Unified LLM Interface 9+ LLM Providers: OpenAI, Anthropic, Google Gemini, Cohere, OpenRouter, CometAPI, DeepSeek, and Ollama Consistent API: Same interface across all providers 500+ Models: Access to diverse models through OpenRouter and CometAPI integrations Async Support: Full asynchronous capabilities 🛡️ Reliability & Failover Reliable LLM: Automatic failover between primary and secondary providers Retry Logic: Built-in exponential bac
| Stars | 219 |
| Forks | 119 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 66.7436081087048/100 |
| Open Issues | 9 |
| Last Updated | 2026-08-18 |
| Created | 2023-12-31 |
| Platforms | gemini, python |
| Est. Tokens | ~17k |
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SimplerLLM is Python library for building with LLMs. One interface across 11 providers (OpenAI, Anthropic, Gemini, DeepSeek, Ollama and more), automatic failover, Pydantic-validated structured output, embeddings wi. It is categorized as a Agent Tool with 219 GitHub stars.
SimplerLLM is primarily written in Python. It covers topics such as ai, ai-agents, anthropic.
You can find installation instructions and usage details in the SimplerLLM GitHub repository at github.com/hassancs91/SimplerLLM. The project has 219 stars and 119 forks, indicating an active community.
SimplerLLM is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to SimplerLLM on Agent Skills Hub include runprompt, NadirClaw, NadirClaw. 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: