jarvis-mode

Orchestrate a persistent AI assistant with memory, wake-word activation, and background operation.

Updated Mar 15, 2026
One-click install
npx skills add https://github.com/gujincheng1128/my-awesome-app --skill jarvis-mode
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: jarvis-mode
Source: https://github.com/gujincheng1128/my-awesome-app/tree/main/skills/jarvis-mode
Command: npx skills add https://github.com/gujincheng1128/my-awesome-app --skill jarvis-mode

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

JARVIS mode addresses the need for a capable, persistent AI assistant that can remember context, wake on voice, run in the background, and manage knowledge across projects and tasks.

Core Features & Use Cases

  • Long-term memory with a multi-layer structure enables context preservation across sessions.
  • Voice activation with a configurable wake word (hey jarvis) for seamless interaction.
  • Background daemon keeps the assistant responsive and available for task orchestration.
  • Agentic patterns (planning, execution, reflection, collaboration) supported for multi-agent coordination.
  • TDD workflow integration ensures reliable development cycles and rapid iteration.

Quick Start

Enable JARVIS mode by activating the persistent assistant and saying the wake word "hey jarvis".

Frequently Asked Questions about jarvis-mode

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build an AI assistant with persistent memory across sessions?

An AI assistant with persistent memory uses a multi-layer structure to preserve context across sessions. This approach enables background task orchestration and auto-optimization for continuous knowledge work without losing previous interactions.

Can I use voice activation to trigger a background AI assistant?

Voice activation triggers a background AI assistant using a configurable wake word like "hey jarvis". The assistant runs as a persistent daemon, remaining responsive for seamless voice-activated interaction during project workflows.

What is the best way to manage a knowledge base for multi-agent coordination?

Managing a knowledge base for multi-agent coordination involves applying agentic patterns like planning, execution, reflection, and collaboration. This integrated knowledge management supports complex team workflows and reliable task orchestration.

Does background AI processing work with a TDD workflow?

Background AI processing integrates directly with a TDD workflow to ensure reliable development cycles. The persistent daemon supports rapid iteration by maintaining context and orchestrating test-driven task execution seamlessly.

How do I start a persistent AI assistant with a wake word?

Starting a persistent AI assistant with a wake word requires activating the background daemon mode. Once enabled, the assistant listens for the configured wake phrase, such as "hey jarvis", to initiate interaction and task orchestration.

When should I use a persistent AI assistant instead of stateless LLM queries?

Use a persistent AI assistant instead of stateless queries when your project requires long-term memory, background daemon availability, and integrated knowledge management. This approach suits continuous coding, project work, and multi-agent collaboration scenarios.