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 lsaint · MCP Server · ★ 132
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is aikito safe to install? View the security audit →
Aikito Multi-Agent · Multi-Project · Multi-OS · Multi-Machine 简体中文 · <a href="https://lsaint.github.io/aikito/
| Stars | 132 |
| Forks | 0 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 63.6153065092862/100 |
| Last Updated | 2026-09-20 |
| Created | 2026-08-03 |
| Platforms | claude-code, cli, codex, mcp, python |
| Est. Tokens | ~15k |
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aikito is Your durable workspace across AI agents.. It is categorized as a MCP Server with 132 GitHub stars.
aikito is primarily written in Python. It covers topics such as agent-governance, agent-memory, agent-skills.
You can find installation instructions and usage details in the aikito GitHub repository at github.com/lsaint/aikito. The project has 132 stars and 0 forks, indicating an active community.
aikito is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to aikito on Agent Skills Hub include tlbx, MidTerm, vibepod-cli. 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: