by caura-ai · Codex Skill · ★ 81
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Multi-agent memory governance demo using Caura + OpenClaw. Three agents (Sales, Legal, Admin) share one memory backend with hard fleet boundaries enforced at the query layer. Shows scoped writes, blocked recall, cross-fleet synthesis, and conflict detection.
| Stars | 81 |
| Forks | 3 |
| Language | PowerShell |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 54.782822781313/100 |
| Open Issues | 14 |
| Last Updated | 2026-09-14 |
| Created | 2026-05-19 |
| Est. Tokens | ~15k |
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caura-cross-fleet-gov is Multi-agent memory governance demo using Caura + OpenClaw. Three agents (Sales, Legal, Admin) share one memory backend with hard fleet boundaries enforced at the query layer. Shows scoped writes, bloc. It is categorized as a Codex Skill with 81 GitHub stars.
caura-cross-fleet-gov is primarily written in PowerShell. It covers topics such as agent-fleet, agent-memory, ai-agents.
You can find installation instructions and usage details in the caura-cross-fleet-gov GitHub repository at github.com/caura-ai/caura-cross-fleet-gov. The project has 81 stars and 3 forks, indicating an active community.
caura-cross-fleet-gov is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to caura-cross-fleet-gov on Agent Skills Hub include Vault-Agent-Memory, Ori-Mnemos, lucid-memory. 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: