JARVIS
Real-time facial recognition and automated person research dossiers
All Skills in This Repository (2)
Pure Emerald Level IndicatorsJARVIS Development Patterns
Guide development conventions, dependency management, and testing practices for the JARVIS repository.
YC_hackathon Development Patterns
Guide Python development workflows for intelligence gathering systems with Convex integration.
Frequently Asked Questions
FAQPage SchemaHow to install JARVIS?โผ
Run `npx skills add affaan-m/JARVIS --all -g -y` in your terminal to install all skills in this repository globally.
What does JARVIS do?โผ
It identifies a person from a camera frame using face recognition, then launches parallel browser agents to research their public social profiles and compiles a structured dossier in seconds.
How does JARVIS identify people from photos?โผ
It detects faces with MediaPipe, generates embeddings with ArcFace, and matches them through PimEyes and reverse image search before enriching results with Exa and browser agents.
Does JARVIS work with Claude Code and Codex?โผ
Yes. It ships with CLAUDE.md and AGENTS.md orchestration files plus SKILL.md units that follow the universal skill standard for Claude Code, Codex, and compatible agents.
What API keys does JARVIS need?โผ
Keys for Exa, Browser Use, OpenAI, Gemini, Anthropic, and Convex unlock full functionality, but every service is optional and the app degrades gracefully when keys are missing.
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