# LifeOS — AI Intent Engineering Platform by Daniel Miessler

> An open-source AI harness that conveys your goals and context to any AI on every task, created by the author of Fabric.

## Install

Save in your project root:

# LifeOS — AI Intent Engineering Platform

## Quick Use
```bash
git clone https://github.com/danielmiessler/LifeOS.git
cd LifeOS
cp .env.example .env
# Add your API keys, then:
npm install && npm run dev
```

## Introduction
LifeOS is an open-source intent engineering platform from Daniel Miessler, creator of Fabric. It bridges the gap between what you ultimately want and what your AI tools actually do by maintaining a persistent context of your goals, preferences, and projects across every interaction.

## What LifeOS Does
- Maintains a structured profile of your goals, preferences, and active projects
- Injects relevant personal context into every AI interaction automatically
- Provides task-specific workflows for coding, writing, business, and life management
- Tracks progress toward goals and surfaces relevant actions
- Integrates with multiple AI providers and coding agents

## Architecture Overview
LifeOS is a TypeScript application that stores your intent graph locally in structured files. When you invoke any AI task, it reads your profile, selects relevant context based on the task type, and prepends it to the prompt. This ensures the AI always understands your broader objectives rather than treating each request in isolation.

## Self-Hosting & Configuration
- Clone the repository and install Node.js dependencies
- Configure API keys for your preferred LLM providers in `.env`
- Define your personal context in structured Markdown files under the `context/` directory
- Customize task templates in the `workflows/` directory
- Run locally or deploy as a lightweight web service

## Key Features
- Intent-first design ensures AI understands the why behind every task
- Created by the author of Fabric, building on lessons from that project
- Works across coding, writing, business strategy, and personal productivity
- Modular workflow system lets you define custom task pipelines
- Provider-agnostic architecture supports any OpenAI-compatible API

## Comparison with Similar Tools
- **Fabric** — Miessler's earlier project focused on patterns; LifeOS adds persistent personal context
- **Claude Code CLAUDE.md** — project-scoped context only; LifeOS adds life-wide goal tracking
- **Mem0** — memory layer for AI apps; LifeOS focuses on intent and goals rather than conversation memory
- **Custom GPTs** — locked to OpenAI; LifeOS is provider-agnostic and open source

## FAQ
**Q: How does LifeOS differ from Fabric?**
A: Fabric provides reusable AI patterns. LifeOS builds on that by adding a persistent personal context layer that automatically informs every AI interaction with your goals and preferences.

**Q: Do I need coding experience to use it?**
A: Basic command-line familiarity is enough. Configuration is done through Markdown files and environment variables.

**Q: Which AI providers work with LifeOS?**
A: Any provider with an OpenAI-compatible API, including OpenAI, Anthropic, local Ollama instances, and more.

**Q: Is my personal data sent to third parties?**
A: Your context files stay local. Only the relevant portions are sent to your configured LLM provider as part of prompts.

## Sources
- https://github.com/danielmiessler/LifeOS
- https://danielmiessler.com

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Source: https://tokrepo.com/en/workflows/asset-8ac79edc
Author: AI Open Source