by blogminhquy · MCP Server · ★ 619
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/blogminhquy/javis-os.git javis && cd javis
git clone https://github.com/blogminhquy/javis-os.git javis; cd javis
Taken from the project's README on GitHub. Check the security audit before running it.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 619 |
| Forks | 232 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 53/100 |
| Open Issues | 2 |
| Last Updated | 2026-11-05 |
| Created | 2026-06-28 |
| Platforms | mcp, python |
| Est. Tokens | ~19k |
🧠 Javis OS AI agentic đổi được bộ não + Second Brain - chạy trên model nào bạn muốn (Claude Code, ChatGPT/Codex, Antigravity CLI, OpenRouter, OpenAI, Gemini, Anthropic API, Groq, Ollama), có giọng nói, đồ thị tri thức, và tự thông minh dần lên. Tiếng Việt · English Cài nhanh bằng chính AI của bạn Đưa link repo này cho Claude Code hoặc Codex đang chạy trên máy bạn và nói "cài Javis OS giúp tôi".
These tools work well together with javis-os for enhanced workflows:
Looking for a javis-os alternative? If you're comparing javis-os with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Benzi is code intelligence infrastructure for AI models. It compiles your codebase into a resolved, queryable
不是问答机器人,而是能真正干活的数字分身。共享智能体,共享项目上下文,让项目所有成员一起协同工作。同时智能体会像人一样通过资料或者工作抽象和总结经验到项目上下文中
A local AI agent harness in Go that runs 24/7 with auto-built tools, MCP, and Ollama
An agent runtime for Python. Give your agent real work. Keep control: every action checked before it runs, eve
Command a fleet of AI agents, on every deck, every desk, every wrist. Self-hosted multi-agent platform with me
HAR: open agent harness (CLI + MCP) for coding agents. Isolated worktrees, deterministic verify, software fact
Explore other popular mcp server tools:
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: