🖥 Effortlessly manage your Linux machine using MQTT.
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Updated
Oct 4, 2026 - Python
🖥 Effortlessly manage your Linux machine using MQTT.
轻量级 Python shell 命令执行工具,支持实时流式输出或捕获输出为字符串,可指定工作目录、超时与编码;并提供按端口/进程名查询与终止进程的 CLI 和 Python API
FastAPI control plane for registering security agents and their command tasks. Early-stage: not a SOAR, not production-hardened.
An AI-powered Discord bot that chats, stores user memories, and can execute terminal commands on Windows directly through Discord.
Powerful terminal execution, everywhere. Cross-platform command execution, interactive processes and streaming, with one conceptual API across Python, TypeScript, Dart, Java and Kotlin.
Resources and scripts used for Qwen Experiment 1, including command execution, file transfer, and experiment utilities.
Real-time Python automation engine that dynamically executes desktop and web commands through modular executors via a JSON-based protocol.
Approval-first MCP terminal control: inspect risk, permissions and limits before bounded execution, then keep signed receipts.
Exact-argv, no-shell, worktree-contained command execution primitive.
Safe shell command execution wrapper for Python — zero external dependencies
A minimal AI Agent runtime demonstrating tool calling, agent loops, context management, and extensible architecture.
Bounded shell and CLI execution for AI agents: structured contracts, policy-gated execution, hardened Linux runtime enforcement, and signed receipts.
A minimal, transparent PowerShell 7 MCP for Windows -- one tool: run a command, get raw exit code / stdout / stderr back.
Simplify the SXPG_CALL_SYSTEM function module (FM) usage for enumeration on a targeted SAP system. Create a SAP RCE PoC.
A cross-platform library for creation, storage, management of commands and command packages. Execution of commands, parsing of files with command packages.
Python Telegram bot for remote shell command execution and system administration via encrypted messaging
Python-based parallel command executor that intelligently orchestrates command execution using dependency management—running tasks in parallel where possible, sequentially where required, while capturing errors, timing, and comprehensive execution reports via both CLI and API interfaces.
Dynamic CLI tool to manage project-specific commands using pyproject.toml configuration
A Personal Voice Assistant that performs a multitude of tasks for you on command (Codeshastra X Project by Tensionflow)
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