practice-theory-implementation

MonyetBatu/practice-theory-implementation

★ 0 stars Python 🤖 AI/LLM Updated today

Companion implementation for the AI Trust essay series — practice bundles, projection, MCP server, autonomic loop, and the Calendar Stewardship worked example.

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Quick Install

Copy the config for your editor. Some servers may need additional setup — check the README.

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "practice-theory-impl": {
      "command": "uvx",
      "args": [
        "practice-theory-implementation"
      ]
    }
  }
}

Or install with pip: pip install practice-theory-implementation

README Excerpt

A working implementation of the AI-trust-via-practice-theory architecture described in the essay series. The series names the missing layer in current agents as **situated awareness** (in Suchman's sense — a practitioner's grasp of where they are in the work, what the goal is, what is at hand, what would be a legitimate next step), and the practice bundle's five elements (teleo-affective, understanding, rules, affordances, materials) as the captured structure that delivers it. See `docs/`:

Topics

agent-harnessai-trustmcppractice-theorysituated-awareness

practice-theory-implementation

Quick Install

README Excerpt

Topics

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