by madrzak · Agent Tool · ★ 144
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
VidClaw A secure, self-hosted command center for managing your OpenClaw AI agent. Features 🗂️ Kanban Task Board — Backlog → Todo → In Progress → Done. Drag & drop, priorities, skill assignment. Your agent picks up tasks automatically via heartbeat or cron. 📊 Usage Tracking — Real-time token usage and cost estimates parsed from session transcripts. Progress bars matching Anthropic's rate limit windows. 🔄 Model Switching — Switch between Claude models directly from the dashboard. Hot-reloads via OpenClaw's config watcher. 📅 Activity Calendar — Monthly view of agent activity, parsed from memory files and task history. 📁 Content Browser — Browse workspace files with markdown preview, syntax highlighting, and download. 🧩 Skills Manager — View all bundled/workspace skills, enable/disable them, create custom skills. 💜 Soul Editor — Edit SOUL.md, IDENTITY.md, USER.md, AGENTS.md with version history and persona templates. ⚡ Task Execution — Tasks execute automatically via cron (every 2 min) or heartbeat (every 30 min). Hit "Run Now" for immediate execution. Security VidClaw binds to localhost only () — no external network calls, all data stays on your machine. Remo
| Stars | 144 |
| Forks | 33 |
| Language | TypeScript |
| Category | Agent Tool |
| Quality Score | 32.5/100 |
| Open Issues | 2 |
| Last Updated | 2026-03-18 |
| Created | 2026-02-16 |
| Platforms | node |
| Est. Tokens | ~239k |
These tools work well together with vidclaw for enhanced workflows:
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vidclaw is The OpenClaw Dashboard 🦞. It is categorized as a Agent Tool with 144 GitHub stars.
vidclaw is primarily written in TypeScript. It covers topics such as ai, ai-agents, openclaw.
You can find installation instructions and usage details in the vidclaw GitHub repository at github.com/madrzak/vidclaw. The project has 144 stars and 33 forks, indicating an active community.
The top alternatives to vidclaw on Agent Skills Hub include n8n-claw, kindly-web-search-mcp-server, ai-maestro. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.