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 omnigent-ai · Codex Skill · ★ 10.4k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is omnigent safe to install? View the security audit →
Omnigent The open-source AI agent framework and meta-harness for all your AI agents. Omnigent is an open-source AI agent framework and meta-harness that gives you a common orchestration layer over Claude Code, Codex, Cursor, Pi, and the agents you write yourself: swap or combine harnesses without rewriting, enforce policies and sandboxing, and collaborate in real time from any device. omnigent.ai · ⬇️ Download the macOS desktop app Why Omnigent? Omnigent lets you: 📱 Work with agents from any device, including your phone. Sessions follow you: start in your terminal, continue in the browser, pick it up on your phone. Messages, sub-agents, terminals, and files stay in sync. 🤖 Supervise multiple agents. Use
| Stars | 10,430 |
| Forks | 1,671 |
| Language | Python |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 65.2411119292021/100 |
| Open Issues | 1682 |
| Last Updated | 2026-10-03 |
| Created | 2026-06-11 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~17k |
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omnigent is Omnigent is an open-source AI agent framework and meta-harness: orchestrate Claude Code, Codex, Cursor, Pi, and custom agents — swap harnesses without rewriting, enforce policies and sandboxing, and c. It is categorized as a Codex Skill with 10.4k GitHub stars.
omnigent is primarily written in Python. It covers topics such as agent-framework, agent-governance, agent-orchestration.
You can find installation instructions and usage details in the omnigent GitHub repository at github.com/omnigent-ai/omnigent. The project has 10.4k stars and 1671 forks, indicating an active community.
omnigent is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to omnigent on Agent Skills Hub include composio, superset, agents. 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: