ovis: Ovis (formerly herdr web UI): free, open-source browser and phone client for herdr

Quick Facts

About ovis

Ovis Ovis, the browser and phone client for herdr. English · 简体中文 · 日本語 · 한국어 website · install · try the demo · quick start · faq · docs https://github.com/user-attachments/assets/d854dbb6-64bd-4eba-81c7-fbd3f525726b

Compatible Skills

These tools work well together with ovis for enhanced workflows:

• terminal-browser — semantic(0.41)+complementary+rare_topics+same_lang+similar_pop+shared_platform (69%)
• pi-workflows — semantic(0.35)+complementary+rare_topics+same_lang+similar_pop+shared_platform (67%)
• collie — semantic(0.65)+rare_topics+same_lang+similar_pop+shared_platform (62%)
• herdr-auto-title — semantic(0.50)+complementary+rare_topics+similar_pop+shared_platform (62%)
• clsh — semantic(0.31)+complementary+same_lang+similar_pop+shared_platform (61%)

ovis alternative? Top 6 similar tools

Looking for a ovis alternative? If you're comparing ovis with other claude skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

• collie by AltanS · ⭐ 1.4k

  Herdr mobile client for iPhone and Android. A self-hosted PWA to drive Claude Code, Pi, Codex and OpenCode in

• Codeman by Ark0N · ⭐ 808

  Self-hosted mission control for AI coding agents: run Claude Code, OpenCode, Pi, Codex, and Antigravity & Gemi

• clay by chadbyte · ⭐ 404

  A self-hosted workspace where people and coding agents work together across projects, sessions, and providers.

• Reminal by harshalgajjar · ⭐ 317

  Close the lid and walk away — every window, desktop and terminal on your machines, live in any browser. E2E-en

• zoetrope by furkankly · ⭐ 1.0k

  Watch a Claude Code or Codex session as a live flow graph, in your terminal or your browser.

• dinotty by xichan96 · ⭐ 727

  Multi-device terminal server for AI coding agents. Server-side VTE, session persistence, file browser, web pre

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How this security grade is produced

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:

• SlowMist agent-security taxonomy
• Liu et al., An Empirical Study of Agent Skill Security (2026)
• Our census dataset (DOI 10.5281/zenodo.21292799) · Hugging Face mirror
• How we grade: all 42 rules, the source tiers and known limits
• Full methodology & who runs this