by cubeplexai · MCP Server · ★ 59
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
CubeLoop — a Pythonic, async-native agent harness core designed for high performance, readability, and production-grade persistence.
| Stars | 59 |
| Forks | 11 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 52.0310638192928/100 |
| Open Issues | 2 |
| Last Updated | 2026-09-17 |
| Created | 2026-05-09 |
| Platforms | mcp, python |
| Est. Tokens | ~13k |
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cubeloop is CubeLoop — a Pythonic, async-native agent harness core designed for high performance, readability, and production-grade persistence.. It is categorized as a MCP Server with 59 GitHub stars.
cubeloop is primarily written in Python. It covers topics such as agent-framework, agent-harness, agent-runtime.
You can find installation instructions and usage details in the cubeloop GitHub repository at github.com/cubeplexai/cubeloop. The project has 59 stars and 11 forks, indicating an active community.
cubeloop is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to cubeloop on Agent Skills Hub include omnicoreagent, javis-os, agents-universe. 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: