Termaxa
Summary
Termaxa 是一个开源 Rust 工具,作为 Claude Code、Codex、Cursor 和 Copilot 等 AI 代理命令执行路径中的安全闸门,在命令运行前预览其将删除的内容、先进行备份,并按用户策略拒绝或放行。
View Cached Full Text
Cached at: 10/08/26, 04:01 PM
Similar Articles
@NFTCPS: Multiple AI agents working together? Finally someone pulled it off with the most down-to-earth approach. squad, a command-line tool written in Rust, lets Claude Code, Gemini CLI, Codex, and OpenCode — these CLI agents — sit at the same table and collaborate.…
squad is a command-line tool written in Rust that enables collaboration among multiple AI CLI agents (such as Claude Code, Gemini CLI, etc.) via shell commands and an SQLite database, without requiring a background daemon.
crynta/terax-ai
Terax is a lightweight open-source terminal-first AI-native dev workspace built on Tauri 2, Rust, and React, featuring an agentic AI side-panel, code editor, file explorer, source control, and web preview.
@billtheinvestor: The 7MB AI-native terminal is here! Terax perfectly integrates a terminal, code editor, Git, and a powerful AI agent, and also supports local models. Lightweight beyond belief, blazingly fast — the developer's dream machine! GitHub link:
Terax is a lightweight open-source AI-native terminal and developer workspace that combines a terminal, code editor, Git, and AI agent in a 7MB package, supporting local models and various AI providers.
@GitTrend0x: AI Agent Secure Python Executor 7.5k Star Killer Open Source Tool https://github.com/pydantic/monty This is Monty, the Rust ultra-lightweight secure Python interpreter from Pydantic official…
Monty is a minimal secure Python interpreter written in Rust, designed for AI Agents, offering microsecond-level startup and near-native CPython performance, while strictly restricting access to the host filesystem, network, and environment variables.
@thinkszyg: https://x.com/thinkszyg/status/2066837941477920993
A practical guide for developers (especially AI coding tool users) on how to safely and efficiently use Claude Code, Codex, and other tools for multi-agent parallel development, focusing on best practices such as task decomposition, file isolation (worktree), boundary control, sequential merging, etc., to avoid file conflicts and chaos.