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 superagentxai · MCP Server · ★ 203
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is superagentx safe to install? View the security audit →
SuperAgentX: is an open-source, modular agentic AI framework that enables AI agents to plan, act, and execute real-world workflows—with built-in human approval, governance, and auditability. Unlike traditional chatbots, SuperAgentX is designed for action, not just conversation. ✨ Why SuperAgentX? SuperAgentX enables AI agents to: Execute multi-step workflows Interact with browsers, APIs, databases, tools & MCPs Pause for human approval before sensitive actions Persist execution state, memory, and audit logs All while keeping humans firmly in control. Quick start 🧠 Core Capabilities 🔹 Massive Model & Tool Support ✅ 100+ LLMs supported (OpenAI, Azure OpenAI, Gemini, Claude, Bedrock, OSS models) ✅ 10,000+ MCP (Model Context Protocol) tools supported ✅ Browser Agents using real browser automation (Playwright) 🔹 Agentic AI (Beyo
| Stars | 203 |
| Forks | 44 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 72.4252445711336/100 |
| Last Updated | 2026-07-22 |
| Created | 2024-10-22 |
| Platforms | claude-code, gemini, mcp, python |
| Est. Tokens | ~16k |
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superagentx is Move from idea to production in hours with policy-driven autonomous AI agents. Unified Control Plane: Centralised tools, MCPs, models, data, and policies with consistent observability and governance.. It is categorized as a MCP Server with 203 GitHub stars.
superagentx is primarily written in Python. It covers topics such as agentic-ai, agentic-framework, agents.
You can find installation instructions and usage details in the superagentx GitHub repository at github.com/superagentxai/superagentx. The project has 203 stars and 44 forks, indicating an active community.
superagentx is released under the MIT license, making it free to use and modify according to the license terms.
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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: