voltagent — security grade SAFE, quality 65/100

Security audit verdict: SAFE · quality 65/100

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 VoltAgent · MCP Server · ★ 10.4k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

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About voltagent

AI Agent Engineering Platform English 한국어 Home Page | Documentation | Examples [![Discord](https://img.shields.io/discord/1361559153780

agentsaiai-agentsai-agents-frameworkaiagentframeworkchatbotschatgptframeworkjavascriptllm

Quick Facts

Stars10,431
Forks1,104
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score65.0200332588813/100
Open Issues79
Last Updated2026-08-27
Created2025-04-16
Platformsmcp, node
Est. Tokens~18k

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Frequently Asked Questions

What is voltagent?

voltagent is AI Agent Engineering Platform built on an Open Source TypeScript AI Agent Framework. It is categorized as a MCP Server with 10.4k GitHub stars.

What programming language is voltagent written in?

voltagent is primarily written in TypeScript. It covers topics such as agents, ai, ai-agents.

How do I install or use voltagent?

You can find installation instructions and usage details in the voltagent GitHub repository at github.com/VoltAgent/voltagent. The project has 10.4k stars and 1104 forks, indicating an active community.

What license does voltagent use?

voltagent is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to voltagent?

The top alternatives to voltagent on Agent Skills Hub include langgraph, mastra, repomix. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

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:

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