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 llt22 · MCP Server · ★ 333
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is talkio safe to install? View the security audit →
Talkio 让多个 AI 在你的桌面上同时对话。 多模型群聊 · 身份角色系统 · MCP 工具调用 · 文件解析 · 本地优先 · Tauri 2 + React 19 中文 · English Talkio 不只是又一个 ChatGPT 客户端——你可以把多个 AI 模型拉进同一个群聊，让它们各自扮演不同角色，围绕同一个话题展开讨论、辩论、接龙。 截图 桌面端 移动端 <img s
| Stars | 333 |
| Forks | 39 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 60.0756308021883/100 |
| Open Issues | 2 |
| Last Updated | 2026-09-17 |
| Created | 2026-02-22 |
| Platforms | claude-code, gemini, mcp, node |
| Est. Tokens | ~15k |
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talkio is Local-first multi-AI group chat desktop app — pull gpt, Claude, Gemini, DeepSeek into one conversation. Tauri 2 + React 19.. It is categorized as a MCP Server with 333 GitHub stars.
talkio is primarily written in TypeScript. It covers topics such as ai, chat, chatbot.
You can find installation instructions and usage details in the talkio GitHub repository at github.com/llt22/talkio. The project has 333 stars and 39 forks, indicating an active community.
talkio is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to talkio on Agent Skills Hub include chat-js, c4-genai-suite, argo. 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: