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 DemonDamon · MCP Server · ★ 238
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is AgenticX safe to install? View the security audit →
AgenticX: Unified Multi-Agent Framework -- Architecture • Features • Quick Start • Examples • Progress Language / 语言: English | 中文 Security advisory LiteLLM (PyPI): Malicious releases 1.82.7 and 1.82.8 were removed from PyPI after reports that they could exfiltrate API keys. If you ever installed either version, uninstall them, rotate any credentials that may have been exposed, and upgrade to a release the upstream project and PyPI list as safe (for example 1.82.9+, per current upstream guidance). Check your environme
| Stars | 238 |
| Forks | 56 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 68.0810831124821/100 |
| Open Issues | 4 |
| Last Updated | 2026-10-02 |
| Created | 2024-03-15 |
| Platforms | cli, mcp, python |
| Est. Tokens | ~22k |
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AgenticX is AgenticX is a unified, production-ready multi-agent platform — Python SDK + CLI (agx) + Studio server + Machi desktop app. Features Meta-Agent orchestration, 15+ LLM providers, MCP Hub, hierarchical m. It is categorized as a MCP Server with 238 GitHub stars.
AgenticX is primarily written in Python. It covers topics such as agent-framework, agentic-workflows, ai-agent.
You can find installation instructions and usage details in the AgenticX GitHub repository at github.com/DemonDamon/AgenticX. The project has 238 stars and 56 forks, indicating an active community.
AgenticX is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to AgenticX on Agent Skills Hub include flock, AI-company, openclaw-desktop. 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: