Flagged: sudo usage. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by smixs · MCP Server · ★ 173
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is iva safe to install? View the security audit →
EN · RU Use cases · Features · Install · Memory · What's new · Docs Iva is a self-hosted Telegram AI assistant with layered memory that turns your messages into an Obsidian-compatible vault. You talk, it files: voice notes, photos, forwarded posts and decisions become plain-markdown cards it actually remembers. Everything runs on your own server, with your keys and your data. One command installs it: Why people run Iva "What did we agree with client X about the last shipment?" — found in
| Stars | 173 |
| Forks | 33 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 69.3159046040921/100 |
| Open Issues | 4 |
| Last Updated | 2026-08-18 |
| Created | 2026-06-18 |
| Platforms | mcp, node |
| Est. Tokens | ~17k |
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iva is AI assistant in Telegram that remembers everything and helps you run your life. Self-hosted in one command.. It is categorized as a MCP Server with 173 GitHub stars.
iva is primarily written in TypeScript. It covers topics such as agent, ai-agent, ai-assistant.
You can find installation instructions and usage details in the iva GitHub repository at github.com/smixs/iva. The project has 173 stars and 33 forks, indicating an active community.
iva is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to iva on Agent Skills Hub include cognithor, lobu, gno. 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: