Give an AI assistant a persistent profile of your goals and projects so it gives advice tailored to your specific situation rather than generic answers.
Use the Ideal State Artifact framework to define what 'done' looks like for a creative or writing project, then let the AI help you work toward each criterion.
Run a local Pulse dashboard that shows all your goals and in-progress work in one place, updated by your AI assistant.
Requires Anthropic's Claude as the AI backend, upgrading from older versions requires reading a migration guide due to substantial architecture changes in version 5.
Personal AI Infrastructure (PAI) is a configuration and tooling system that the author describes as a "Life Operating System." The idea is to give an AI assistant persistent knowledge about who you are, what you care about, and what you are trying to accomplish, so that AI interactions become more useful and personalized over time rather than starting fresh every conversation. The system has three layers. The first is PAI itself: a collection of skills, memory files, configuration files, and a framework called the Algorithm that structures how the AI approaches your goals. The Algorithm works by capturing your current state and your ideal state, then breaking down the gap between them into phases and discrete steps. The second layer is Pulse, a local dashboard that runs at localhost:31337 and shows your goals, ongoing work, and daily life information in one place. The third is the Digital Assistant (DA), which is the voice and personality layer you actually talk to. A central concept is the ISA, or Ideal State Artifact. This is a structured document that captures what "done" looks like for any creative or intellectual task, similar to a product requirements document in software but general enough to apply to design, writing, strategy, or any other kind of work. The system breaks the ideal state into discrete criteria that can be checked off as the AI helps move toward completion. PAI is designed to run on top of Claude (the AI from Anthropic) and is installed by running a setup script. The repository ships with over 40 skills, more than 170 workflows, and dozens of hooks. It stores everything in plain text and Markdown files rather than databases, so your data stays readable and portable. The project is built in TypeScript and is open source. It is primarily a personal tool for individuals, though the author notes the same architecture could work for teams or organizations. Installation is a single curl command for new users, though upgrading from older versions requires reading a migration guide because version 5 changed the architecture substantially.
← danielmiessler on gitmyhub — every repo by this author, as a profile.
Verify against the repo before relying on details.