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 Upsonic · Agent Tool · ★ 473
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Tiger safe to install? View the security audit →
Tiger: Neuralink for your AI Agents Setup • Integrations: crewAI Integration • LangChain Integration • AutoGen Integration • Telegram Integration • Sources: Currently Tools • Custom Tools (On-Prem Docker) • Public Dashboard • What is Tiger? Tiger is a community-driven project developing a reusable and integrated tool ecosystem for LLM Agent Revolution. It utilizes Upsonic for isolated tool storage, profillibg and for the automatic generation of documents. With Tiger, you can create a customized environment for your agents or leverage the robust and publicly maintained Tiger 🐅 curated by the community itself. Details Tiger, influenced by Neuralink, provides an AI-oriented computer interface with threads connected to the LLM interface. It offers a platform for AIs to control a computer by simply 'thinking'. With Tiger, your LLM agents can write and execute code, use search engines, manage your calendar, control your mo
| Stars | 473 |
| Forks | 43 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 69.3016513092052/100 |
| Open Issues | 5 |
| Last Updated | 2025-02-19 |
| Created | 2024-04-05 |
| Platforms | python |
| Est. Tokens | ~485k |
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Tiger is Neuralink for your AI Agents - LangChain - Autogen - CrewAI. It is categorized as a Agent Tool with 473 GitHub stars.
Tiger is primarily written in Python. It covers topics such as agent, ai, function-calling.
You can find installation instructions and usage details in the Tiger GitHub repository at github.com/Upsonic/Tiger. The project has 473 stars and 43 forks, indicating an active community.
Tiger is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to Tiger on Agent Skills Hub include awesome-ai-sdks, blade-code, ai-agent-tools-catalog. 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: