Flagged: spawns subprocesses. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by ownpilot · Agent Tool · ★ 429
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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OwnPilot Privacy-first personal AI assistant platform with Claw autonomous agents, soul agents, multi-agent orchestration, AI agent creator, tool orchestration, multi-provider support, MCP integration, voice pipeline, browser automation, IoT edge device control, and Telegram + WhatsApp connectivity. Self-hosted. Your data stays yours. Table of Contents Features Architecture Quick Start Setup Guide — Detailed installation instructions Project Structure Packages Core [Gateway](#gateway-ownpilotga
| Stars | 429 |
| Forks | 63 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 62.6811815621537/100 |
| Open Issues | 4 |
| Last Updated | 2026-09-08 |
| Created | 2026-01-28 |
| Platforms | node |
| Est. Tokens | ~26k |
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OwnPilot is Privacy-first personal AI assistant platform with autonomous agents, tool orchestration, and multi-provider support.. It is categorized as a Agent Tool with 429 GitHub stars.
OwnPilot is primarily written in TypeScript. It covers topics such as ai, artificial-intelligence, assistant.
You can find installation instructions and usage details in the OwnPilot GitHub repository at github.com/ownpilot/OwnPilot. The project has 429 stars and 63 forks, indicating an active community.
OwnPilot is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to OwnPilot on Agent Skills Hub include openakita, DemoGPT, sre. 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: