Project Brief // AI Tooling

Dokugent CLI

Rust TypeScript Python
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The Challenge // The Problem

CLI-based AI agents often operate in a 'black box'—executing commands and generating code without persistent, human-readable documentation of their reasoning or context, making it impossible to audit or scale teams of autonomous agents safely.

The Solution // Technical Implementation

System Architecture

Dokugent CLI introduces a documentation-first workflow. Instead of just running scripts, it forces a state-management layer where every agent action is logged into a structured Markdown ledger.

Key Objectives

  • Traceability: Every action is linked to a specific human intent.
  • Context Persistence: Maintains session history across multiple CLI executions.
  • Agent Interop: Standardizes how different models (Claude, GPT, Gemini) report their work.