by iBz-04 · Codex Skill · ★ 58
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Gloamy [!WARNING] Gloamy is currently in active development. This is an early preview. Expect breaking changes, frequent updates, and evolving core subsystem contracts as we move toward a stable 1.0 release. Intro When the claws 🦞 are asleep the gloamies 🦉 come out to play ! Hi I'm Gloamy, I execute tasks on your behalf without deleting your stuff, leaking your private business, oh and I'm lightweight unlike that damn lobster (openclaw). Overview Gloamy is built around explicit subsystem contracts: for model backends for messaging platforms for execution surfaces for persistence and recall for observability for runtime isolation for boards and device integrations The project goal is simple: Local first agents for real-world tasks What Gloamy Does Gloamy can: chat with you in your terminal stay running in the background to handle messages control apps on your pc with permissions let desktop and external API clients connect through the gateway use different AI models to answer questions run tools and scripts on your computer or online, safely remember things between sessions connect to devic
| Stars | 58 |
| Forks | 10 |
| Language | Rust |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 69.0876620674921/100 |
| Open Issues | 1 |
| Last Updated | 2026-05-27 |
| Created | 2026-03-09 |
| Platforms | claude-code, rust |
| Est. Tokens | ~2362k |
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gloamy is Secure on device personal agents. It is categorized as a Codex Skill with 58 GitHub stars.
gloamy is primarily written in Rust. It covers topics such as agent-operating-system, agent-os, agentos.
You can find installation instructions and usage details in the gloamy GitHub repository at github.com/iBz-04/gloamy. The project has 58 stars and 10 forks, indicating an active community.
gloamy is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to gloamy on Agent Skills Hub include kavach, LiteMultiAgent, Noema-Declarative-AI. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.