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 oomol-lab · Agent Tool · ★ 75
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is wanta safe to install? View the security audit →
English · 简体中文 · 日本語 · Español · 한국어 Wanta An open desktop host for your models, your agents, your work apps, and your teams. Run the built-in Agent with Wanta-hosted models or your own OpenAI-compatible API key. Or bring Claude Code, Codex, and Grok with their existing local accounts, native model catalogs, and usage quotas. Wanta gives every supported Agent one cross-platform workspace for local tools, Skills, browser and knowledge access, governed connections to 1,400+ popular apps, visible execution, and artifacts—so the services you already use can become part of the same Agent workflow. Website · OpenConnector · Documentation · Development Guide From a connected-service task to a reusable, interactive artifact in one workspace. BYOK Models · BYOA Agents · 1,400+ Popular Apps
| Stars | 75 |
| Forks | 14 |
| Language | TypeScript |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 58.6623827183754/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-20 |
| Created | 2026-06-12 |
| Platforms | node |
| Est. Tokens | ~19k |
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wanta is An open-source desktop AI agent foundation powered by OpenCode and connected through OpenConnector, with local tools, permission controls, and artifacts.. It is categorized as a Agent Tool with 75 GitHub stars.
wanta is primarily written in TypeScript. It covers topics such as agentic-ai, ai-agent, byok.
You can find installation instructions and usage details in the wanta GitHub repository at github.com/oomol-lab/wanta. The project has 75 stars and 14 forks, indicating an active community.
wanta is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to wanta on Agent Skills Hub include pie-ai-agent, palot, CaoGen. 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: