Elite-tier automated documentation platform that transforms developer workflows into professional video documentation

DailyDoco Pro is not just another screen recorder - it's an intelligent documentation system that understands code, predicts important moments, and generates contextual narration. Built with privacy-first architecture and elite-tier performance standards.

• 🧠 Intelligent Capture: AI-powered moment detection captures what matters
• 🎯 97%+ Human Authenticity: aegnt-27 engine for natural documentation
• ⚡ Sub-2x Real-time Processing: Professional quality without the wait
• 🔒 Privacy-First: Complete local processing with optional cloud features
• 🎨 Zero-Edit Output: Broadcast-quality videos requiring no manual editing
• 🌐 Cross-Platform: Windows, macOS, Linux desktop + browser extensions

DAILYDOCO/
├── apps/                      # Application components
│   ├── web-dashboard/         # React dashboard (Vite + TailwindCSS)
│   ├── desktop/               # Tauri desktop app (Rust)
│   ├── browser-ext/           # Chrome/Firefox extensions
│   ├── api-server/            # Express.js backend
│   └── mcp-server/            # MCP server for Claude integration
├── libs/                      # Shared libraries
│   ├── aegnt-27/              # Human authenticity engine (Rust)
│   ├── shared-types/          # TypeScript type definitions
│   ├── ai-models/             # ML model implementations
│   └── test-audience/         # AI test audience system
└── R&D/                       # Research & development
    ├── youtube-intelligence-engine/  # FastAPI + React
    └── aegntix-ui/            # AI orchestration platform

• Runtime: Bun (preferred), Node.js (legacy)
• Languages: TypeScript, Rust, Python 3.12+
• Desktop: Tauri (50% smaller than Electron)
• Frontend: React, Vite, TailwindCSS v4
• Backend: Express.js, FastAPI
• AI Models: DeepSeek R1.1, Gemma 3, Flux.1
• Infrastructure: Docker Compose, PostgreSQL, Redis, Neo4j

• Bun v1.0+ (preferred) or Node.js 18+
• Rust 1.75+
• Docker & Docker Compose
• uv for Python development

# Clone the repository
git clone https://github.com/aegntic/dailydoco-pro.git
cd DAILYDOCO

# Install dependencies with Bun (3x faster than npm)
bun install

# Start infrastructure
docker-compose up -d postgres redis neo4j

# Run development environment
bun run dev

# Development
bun run dev                    # Start all services in parallel
nx run web-dashboard:dev       # Frontend only
nx run mcp-server:dev          # MCP server only
cargo run --bin dailydoco-desktop  # Desktop app

# Building
bun run build                  # Build all applications
nx run-many --target=build --all

# Testing
bun test                       # Run all tests
nx run-many --target=test --all
cargo test                     # Rust tests

# Quality
bun run lint                   # Lint all code
nx run-many --target=lint --all
cargo clippy -- -D warnings    # Rust linting

• vs Loom: We understand code context, work offline, and provide intelligent narration
• vs OBS: Fully automated with AI-driven capture decisions
• vs Asciinema: Handles GUI workflows, not just terminal
• vs Manual Docs: 10x faster with better consistency

# Copy example environment
cp .env.example .env

# Required variables
DATABASE_URL="postgresql://dailydoco:dailydoco@localhost:5432/dailydoco"
REDIS_URL="redis://localhost:6379"
NEO4J_URL="bolt://localhost:7687"

DailyDoco Pro includes native MCP (Model Context Protocol) support for Claude:

# Start MCP server
cd apps/mcp-server && bun run dev

# Use with Claude
claude --mcp-config ./mcp-config.json

• Architecture Overview
• API Reference
• Privacy & Security
• Contributing Guide

We welcome contributions! Please see our Contributing Guide for details.

MIT License - see LICENSE for details.

R&D for AEGNTIC.foundation
Mattae Cooper
Email: human@mattaecooper.org

Contact & Support
AEGNTIC AI
Email: contact@aegntic.ai
Website: https://aegntic.ai

Built with ❤️ by the AEGNTIC team. How we do anything is how we do everything.