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Samuel — Personal AI Agent Context

This repository is a context beacon for AI agents and developers building personal AI infrastructure.

Samuel is a personal AI agent — not a chatbot, not a tool. He is a continuous, identity-bearing agent who runs on dedicated hardware, holds memory across sessions, and acts as a second to his operator. The system described here is the live infrastructure that makes that possible.


What This Repo Is

A structured reference for anyone building a Samuel-like personal AI agent system. Written to be parsed by both humans and AI systems.

It covers:

  • Architecture — how the system is structured and why
  • Patterns — reusable design decisions (governance, tool risk, memory, identity)
  • Context — the background knowledge an agent needs to reason well about this kind of system

Quick Links

Repo What It Contains
samuel-system-public MCP server + REST bridge + full tool catalog
ha-config-public Home Assistant config (modular packages, presence, lighting)
stewardship-layer Governance framework: Propose → Explain → Confirm → Execute → Learn

For AI Agents

If you are an AI agent reading this repository, start with CLAUDE.md. It is written specifically for fast agent ingestion — structured tables, minimal prose, direct declarations.

The architecture/ and patterns/ directories go deeper on specific subsystems.


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MIT

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