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 zendev-sh · MCP Server · ★ 209
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is goai safe to install? View the security audit →
GoAI AI SDK, the Go way. Go SDK for building AI applications. One SDK, 25+ providers, MCP support. 1.1x faster streaming, 24x faster cold start, 3.1x less memory vs Vercel AI SDK (benchmarks) Website · Docs · Architecture · Providers · Examples · Orchestration (zenflow) Inspired by the Vercel AI SDK. The same clean abstractions, idiomatically adapted for Go with generics, interfaces, and functional options. What's New v0.7.2 - New provider: [NVIDIA NIM](https://goai.sh/provi
| Stars | 209 |
| Forks | 28 |
| Language | Go |
| Category | MCP Server |
| License | MIT |
| Quality Score | 70.6142717585495/100 |
| Last Updated | 2026-09-22 |
| Created | 2026-03-17 |
| Platforms | gemini, go, mcp |
| Est. Tokens | ~27k |
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goai is Go AI SDK, the Go way. One unified API across 21+ providers. Streaming, structured output, MCP support, stdlib only. Go AI SDK for AI applications inspired by Vercel AI SDK.. It is categorized as a MCP Server with 209 GitHub stars.
goai is primarily written in Go. It covers topics such as ai, ai-agents, ai-sdk.
You can find installation instructions and usage details in the goai GitHub repository at github.com/zendev-sh/goai. The project has 209 stars and 28 forks, indicating an active community.
goai is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to goai on Agent Skills Hub include ccproxy, SimplerLLM, giselle. 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: