oai-coding-agent 0.0.2

A terminal-based coding agent for lightweight, asynchronous development tasks

OAI Coding Agent

A terminal-based coding agent designed for lightweight, asynchronous development tasks. Unlike traditional coding agents that require constant steering, this agent can work independently or collaboratively, enabling developers to run entire agent fleets for parallel development workflows.

Status: Work in progress, not yet stable.

Getting Started

uv tool install oai-coding-agent

Navigate to your project

cd your-projects-repo

Start the agent

oai
oai --help
oai -p "tell me what you can do in 2-3 sentences"

Overview

This agent is built on OpenAI's codex-mini model and supports three distinct modes that enable a progressive trust-building journey:

1. Default Mode - Interactive agent that checks in when decisions are needed
2. Async Mode - Fully autonomous agent that completes tasks independently
3. Plan Mode - Read-only brainstorming mode to create tasks for agent fleets

Features

• Agent Fleets - Run multiple agents in parallel using git worktrees locally or GitHub runners in CI
• Progressive Workflow - Start interactive, build trust, then scale to autonomous agent fleets
• Environment Integration - Automatically loads .env files from your project directory
• MCP Support - Leverages Model Context Protocol for enhanced tool capabilities

The Progressive Workflow

Most developers follow this natural progression:

1. Start with Default Mode - Get familiar with the agent's capabilities and build trust through interactive sessions
2. Scale with Multiple Agents - Run parallel agents using git worktrees for independent tasks
3. Deploy Agent Fleets - Use plan mode to design workflows, then spawn agents on GitHub runners for automated PR generation

Installation

1. Clone and install

git clone https://github.com/MattMorgis/oai-coding-agent.git
cd oai-coding-agent
uv venv

Usage

Navigate to any codebase and run:

oai [OPTIONS]

Configure your environment

The agent will automatically load environment variables from your project's .env file. At minimum, you'll need:

# In your project directory (not the agent's directory)
echo "OPENAI_API_KEY=your-key-here" >> .env

Optional variables:

• OPENAI_BASE_URL - Custom OpenAI API endpoint

Agent Modes

Default Mode (Interactive)

The agent works alongside you, checking in when decisions are needed:

oai  # or explicitly: oai --mode default

Async Mode (Autonomous)

The agent completes tasks independently, documenting assumptions and alternatives:

oai --mode async --prompt "Add error handling to all API endpoints"

Plan Mode (Brainstorming)

Read-only mode for designing tasks that async agents can execute:

oai --mode plan

Running Agent Fleets

Local Fleet with Git Worktrees

# Create worktrees for parallel development
git worktree add -b feature-1 ../agent-1
git worktree add -b feature-2 ../agent-2

# Run agents in each worktree
cd ../agent-1 && oai --mode async --prompt "Implement user authentication"
cd ../agent-2 && oai --mode async --prompt "Add API rate limiting"

GitHub Runner Fleet

1. Use plan mode to create independent tasks
2. Agents spawn on GitHub runners
3. Review PRs in 5-20 minutes

Common Options

• --version, -v — Show the version and exit

• --model, -m <model> — OpenAI model (default: codex-mini-latest)

• --repo-path <path> — Target repository (default: current directory)

• --prompt, -p <text | -> — Headless mode prompt (- for stdin)

Testing

uv run pytest