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 LnYo-Cly · MCP Server · ★ 429
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is ai4j safe to install? View the security audit →
ai4j 一款面向 JDK 8+ 的 Java AI Agentic 开发套件：统一的大模型接入、Tool Calling、MCP、A2A、RAG、Agent Runtime，以及内置的 Coding Agent CLI / TUI / ACP。从基础模型调用到完整的 agent
| Stars | 429 |
| Forks | 56 |
| Language | HTML |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 64.2768608802975/100 |
| Open Issues | 2 |
| Last Updated | 2026-09-20 |
| Created | 2024-08-17 |
| Platforms | cli, mcp |
| Est. Tokens | ~16k |
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ai4j is Java 8+ agentic SDK: unified LLM access (OpenAI/Anthropic/DashScope/Doubao/DeepSeek...), Tool Calling, MCP, RAG, Agent Runtime, and a built-in Coding Agent CLI/TUI/ACP.. It is categorized as a MCP Server with 429 GitHub stars.
ai4j is primarily written in HTML. It covers topics such as agent, anthropic, chatglm.
You can find installation instructions and usage details in the ai4j GitHub repository at github.com/LnYo-Cly/ai4j. The project has 429 stars and 56 forks, indicating an active community.
ai4j is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to ai4j on Agent Skills Hub include argo, flock, wcgw. 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: