Conduct

Introduction

Conduct is a backend-powered platform that enables AI agents to build software systematically with long-term memory, team collaboration, and verified progress tracking.

What is Conduct?

Conduct transforms AI agent workflows from ad-hoc prompting into systematic, memory-driven development with:

  • Persistent Memory: Centralized backend stores all specs, runs, and checks
  • Team Collaboration: Self-hostable backend enables multi-developer workflows
  • Verified Progress: Three-phase workflow (spec → run → check)
  • Feature Memory: Automatic discovery and tracking of codebase features
  • Profile Management: Multi-environment support (local, staging, production)

Version 0.2.0

This documentation covers Conduct v0.2.0, which introduces a fundamental architectural shift from local-first to backend-powered operation. Key changes:

  • Self-hostable backend service with REST API
  • Lightweight CLI that communicates with backend
  • Multi-database support (PostgreSQL, MySQL, SQLite)
  • Profile-based credential management
  • True team collaboration capabilities

Architecture

┌─────────────┐
│  AI Agent   │
└──────┬──────┘


┌──────────────────┐
│  Conduct CLI     │ 
│  + HTTP Client   │
│  + Cache         │
└──────┬───────────┘
       │ REST API

┌──────────────────────┐
│  Conduct Backend     │
│  + API Endpoints     │
│  + Auth              │
│  + File Storage      │
└──────┬───────────────┘


┌──────────────────────┐
│  Database            │
│  (Postgres/MySQL/    │
│   SQLite)            │
└──────────────────────┘

Getting Started

  1. Quick Start - Get up and running in 5 minutes
  2. Installation - Detailed setup instructions
  3. Configuration - Configure CLI profiles
  4. Workflow - Learn the spec → run → check workflow

Use Cases

For AI Agents

  • Maintain long-term memory across sessions
  • Track specifications and implementation progress
  • Verify work with automated checks
  • Discover and reuse existing features

For Development Teams

  • Centralized AI agent memory management
  • Collaborative spec and run tracking
  • Self-hosted deployment options
  • Multi-environment support

For Organizations

  • Audit trail of AI-driven changes
  • Compliance and security controls
  • Scalable backend infrastructure
  • Integration with existing tools

Next Steps

On this page