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 TanStack · Agent Tool · ★ 3.1k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is ai safe to install? View the security audit →
TanStack AI Type-safe, provider-agnostic TypeScript SDK for building streaming chat, tool-calling agents, structured outputs, realtime voice, media generation, and framework-native AI apps. TanStack AI is built from composable activities and provider adapters. Use one provider or switch between many. Import only chat, or add image, audio, video, speech, transcription, summarization, realtime, Code Mode, devtools, and framework bindings as your app needs them. <a href="htt
| Stars | 3,130 |
| Forks | 331 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 66.1750201669275/100 |
| Open Issues | 94 |
| Last Updated | 2026-09-22 |
| Created | 2025-10-08 |
| Platforms | gemini, node |
| Est. Tokens | ~17k |
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ai is 🤖 Type-safe, provider-agnostic TypeScript AI SDK for streaming chat, tool calling, agents, and multimodal apps across OpenAI, Anthropic, Gemini, React, Vue, Svelte, and Solid.. It is categorized as a Agent Tool with 3.1k GitHub stars.
ai is primarily written in TypeScript. It covers topics such as ai, ai-agents, ai-sdk.
You can find installation instructions and usage details in the ai GitHub repository at github.com/TanStack/ai. The project has 3.1k stars and 331 forks, indicating an active community.
ai is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to ai on Agent Skills Hub include ruby_llm, aichat, bytebot. 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: