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 blueberrycongee · MCP Server · ★ 379
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is termcanvas safe to install? View the security audit →
TermCanvas Your terminals, on an infinite canvas. []() termcanvas.dev → TermCanvas spreads all your terminals across an infinite spatial canvas — no more tabs, no more split panes. Drag them around, zoom in to focus, zoom out to see the big picture. It organizes everything in a Project → Worktree → Terminal hierarchy that mirrors how you actually use git. Add a project, and TermCanvas auto-detects its worktrees.
| Stars | 379 |
| Forks | 32 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 67.545878403765/100 |
| Open Issues | 48 |
| Last Updated | 2026-05-31 |
| Created | 2026-03-14 |
| Platforms | claude-code, mcp, node |
| Est. Tokens | ~2305k |
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termcanvas is An infinite canvas desktop app for visually managing terminals. It is categorized as a MCP Server with 379 GitHub stars.
termcanvas is primarily written in TypeScript. It covers topics such as agent-orchestration, ai-agents, canvas.
You can find installation instructions and usage details in the termcanvas GitHub repository at github.com/blueberrycongee/termcanvas. The project has 379 stars and 32 forks, indicating an active community.
termcanvas is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to termcanvas on Agent Skills Hub include nodeterm, agor, paneflow. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: