No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by sahithvibudhi · Agent Tool · ★ 263
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VibeTree Run every AI coding agent in its own git worktree, in parallel. Works with Claude Code, OpenAI Codex CLI, Gemini CLI, Aider, opencode, and any other terminal program. VibeTree is mission control for parallel AI coding agents. Every task gets its own git worktree: an isolated checkout with its own branch and a persistent terminal. Run one agent per worktree, watch them all at once, review each branch's diff, and throw away failed experiments with one click. Use it as a desktop app, or run the server and drive your agents from any browser, including your phone. Screenshot Demo Why worktrees Parallel agents do not stomp on each other: each works in its own checkout on its own branch Every conversation maps to one reviewable diff; review and merge per branch Fa
| Stars | 263 |
| Forks | 30 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 69.9225838508864/100 |
| Open Issues | 12 |
| Last Updated | 2026-07-25 |
| Created | 2025-07-29 |
| Platforms | browser, claude-code, cli, gemini, node |
| Est. Tokens | ~15k |
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vibe-tree is Run AI coding agents in parallel, one git worktree each. Desktop, web, and CLI.. It is categorized as a Agent Tool with 263 GitHub stars.
vibe-tree is primarily written in TypeScript. It covers topics such as claude, claude-code, desktop-app.
You can find installation instructions and usage details in the vibe-tree GitHub repository at github.com/sahithvibudhi/vibe-tree. The project has 263 stars and 30 forks, indicating an active community.
vibe-tree is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to vibe-tree on Agent Skills Hub include termcanvas, palot, Claude-Agent-Team-Manager. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.