Flagged: sudo usage. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by ashesbloom · MCP Server · ★ 160
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is LocalLens safe to install? View the security audit →
Local Lens Your Memories, Your Machine, Your Privacy. Local Lens is the AI-powered home for your photos. Sort by face, location, and date entirely offline. 📥 Download Latest Version <img src="https://
| Stars | 160 |
| Forks | 15 |
| Language | Python |
| Category | MCP Server |
| License | AGPL-3.0 |
| Quality Score | 63.9498520652989/100 |
| Last Updated | 2026-09-13 |
| Created | 2025-06-27 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~17k |
Looking for a LocalLens alternative? If you're comparing LocalLens with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
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LocalLens is Local Lens is a privacy-first, AI-powered photo organizer for your PC. Sort and group photos by faces, dates, and locations ...all locally, with no cloud upload and no Internet. ... Now on CLAUDE ☼. It is categorized as a MCP Server with 160 GitHub stars.
LocalLens is primarily written in Python. It covers topics such as ai-tools, automated-categorization, computer-vision.
You can find installation instructions and usage details in the LocalLens GitHub repository at github.com/ashesbloom/LocalLens. The project has 160 stars and 15 forks, indicating an active community.
LocalLens is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to LocalLens on Agent Skills Hub include free-ai-resources-x, gemini-cli-desktop, claude-code-statusline. 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: