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by LyoSU · MCP Server · ★ 51
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🔒 Is capka safe to install? View the security audit →
Capka 🐾 Hi — I'm building Capka because I couldn't find a decent open-source web UI that treats AI as a real agent, not just a chatbot. Think of it as an open-source, self-hosted take on Claude's Cowork — an agent with its own computer, not a chat box. Most AI UIs are thin wrappers around an API. Capka gives every user and every chat its own isolated Linux sandbox: the agent accepts files, writes and runs code, scrapes the web, converts documents, and uses MCP connectors — safely, in its own container, behind your own API keys. 🌐 Try the live demo → capka.yuri.ly — poke around a running instance before you host your own. 💡 What's in the name? Capka (say [tsap-ka] — or just "cap-ka", I won't mind) comes from the Ukrainian цап-царап, the quick swipe of a cat's claws — yep, that's the logo. I liked the picture: an agent that grabs your files and digs right into them. Why I built this The internet is flooded with weekend-project chat apps that look generic, choke on real tasks, or leak raw JSON errors at users. I wanted a runtime I could h
| Stars | 51 |
| Forks | 4 |
| Language | TypeScript |
| Category | MCP Server |
| License | AGPL-3.0 |
| Quality Score | 69.7427726976456/100 |
| Last Updated | 2026-10-02 |
| Created | 2026-06-09 |
| Platforms | claude-code, docker, mcp, node |
| Est. Tokens | ~16k |
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capka is Capka AI — An open-source, self-hosted sandbox for AI agents. A community-driven alternative to Claude's Cowork. It is categorized as a MCP Server with 51 GitHub stars.
capka is primarily written in TypeScript. It covers topics such as agent-platform, ai-agent, claude.
You can find installation instructions and usage details in the capka GitHub repository at github.com/LyoSU/capka. The project has 51 stars and 4 forks, indicating an active community.
capka is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to capka on Agent Skills Hub include Deft, openhermit, chibi. 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: