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 flamehaven01 · Agent Tool · ★ 106
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Flamehaven-Filesearch safe to install? View the security audit →
FLAMEHAVEN FileSearch Self-hosted RAG search engine. Production-ready in 3 minutes. Quick Start • Features • Documentation • API Reference • Contributing 🎯 Why FLAMEHAVEN FileSearch? Stop sending your sensitive documents to third-party services. FLAMEH
| Stars | 106 |
| Forks | 15 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 71.5858926162554/100 |
| Last Updated | 2026-05-19 |
| Created | 2025-11-11 |
| Platforms | docker, gemini, python |
| Est. Tokens | ~364k |
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Flamehaven-Filesearch is Open-source semantic document search (RAG) engine with FastAPI and instant self-hosted deployment. It is categorized as a Agent Tool with 106 GitHub stars.
Flamehaven-Filesearch is primarily written in Python. It covers topics such as ai-tools, docker, document-search.
You can find installation instructions and usage details in the Flamehaven-Filesearch GitHub repository at github.com/flamehaven01/Flamehaven-Filesearch. The project has 106 stars and 15 forks, indicating an active community.
Flamehaven-Filesearch is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to Flamehaven-Filesearch on Agent Skills Hub include marginalia, mira-OSS, OpenDocuments. 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: