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 saigontechnology · MCP Server · ★ 215
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is AgentCrew safe to install? View the security audit →
AgentCrew Your team of AI specialists for coding, research, and automation. Run multiple focused agents from a desktop app, terminal, or API. What is AgentCrew? AgentCrew lets you build and run a team of specialized AI agents
| Stars | 215 |
| Forks | 42 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 73.065575043145/100 |
| Open Issues | 2 |
| Last Updated | 2026-09-22 |
| Created | 2025-02-26 |
| Platforms | claude-code, cli, mcp, python |
| Est. Tokens | ~15k |
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AgentCrew is Chat application with multi-agents system supports multi-models and MCP. It is categorized as a MCP Server with 215 GitHub stars.
AgentCrew is primarily written in Python. It covers topics such as ai-agents, ai-assistant, anthropic-claude.
You can find installation instructions and usage details in the AgentCrew GitHub repository at github.com/saigontechnology/AgentCrew. The project has 215 stars and 42 forks, indicating an active community.
AgentCrew is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to AgentCrew on Agent Skills Hub include turbo-flow, Agentfy, omnicoreagent. 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: