by corv89 · MCP Server · ★ 24
Shannot Human-in-the-loop execution for LLM agents. Shannot lets you see what AI agents want to do before they do it. Scripts run in a supervised environment that captures all commands and file writes. You review in a TUI, approve what's safe, and only then do changes apply. How It Works Quick Start That's it. Two commands. Features Supervised Execution All system
| Stars | 24 |
| Forks | 2 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 72.6709349084685/100 |
| Open Issues | 5 |
| Last Updated | 2026-04-13 |
| Created | 2025-10-20 |
| Platforms | cli, mcp, python |
| Est. Tokens | ~198k |
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shannot is Human-in-the-loop execution for LLM agents. It is categorized as a MCP Server with 24 GitHub stars.
shannot is primarily written in Python. It covers topics such as agent-safety, automation, cli.
You can find installation instructions and usage details in the shannot GitHub repository at github.com/corv89/shannot. The project has 24 stars and 2 forks, indicating an active community.
shannot is released under the Apache-2.0 license, making it free to use and modify according to the license terms.