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 CelestoAI · MCP Server · ★ 191
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is agentor safe to install? View the security audit →
Fastest way to build and deploy long-running AI agents—with durability, observability, and security. Docs | Examples JavaScript/TypeScript SDK: Gatekeeper SDK docs Features Docs | 🚀
| Stars | 191 |
| Forks | 36 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 71.8377862484084/100 |
| Open Issues | 3 |
| Last Updated | 2026-08-25 |
| Created | 2025-06-07 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~15k |
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agentor is Open source version of Claude Managed Agents. Fastest way to build and deploy reliable AI agents, MCP tools and agent-to-agent.. It is categorized as a MCP Server with 191 GitHub stars.
agentor is primarily written in Python. It covers topics such as agents, ai-agents, ai-assistant.
You can find installation instructions and usage details in the agentor GitHub repository at github.com/CelestoAI/agentor. The project has 191 stars and 36 forks, indicating an active community.
agentor is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to agentor on Agent Skills Hub include web-agent-protocol, robloxstudio-mcp, daymon. 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: