ashlrai

Ashlr Ao — AI skill for Claude Code

AI community

Local-first AI agent orchestration platform.

How to install Ashlr Ao

This entry records only its repository, not the path inside it, so there is no exact command to give. Open ashlrai/ashlr-ao and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Ashlr Ao does

Local-first AI agent orchestration platform. Manage Claude Code, Codex, Aider, and Goose from one command center.

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README

Ashlr AO

[![CI](https://github.com/ashlrai/ashlr-ao/actions/workflows/ci.yml/badge.svg)](https://github.com/ashlrai/ashlr-ao/actions/workflows/ci.yml) [![PyPI](https://img.shields.io/pypi/v/ashlr-ao)](https://pypi.org/project/ashlr-ao/) [![Python 3.11+](https://img.shields.io/badge/python-3.11%2B-blue)](https://python.org) [![License: MIT](https://img.shields.io/badge/license-MIT-green)](LICENSE)

**Local-first agent orchestration platform.** One developer, many AI coding agents, single command center.

**Website: [ashlrao.com](https://ashlrao.com)** | **Docs: [ashlrao.com/docs](https://ashlrao.com/docs)**

Multi-agent orchestration — spawn, monitor, and coordinate Claude Code, Codex, Aider, and Goose agents from one dashboard
Multi-repo projects — organize agents by project with per-project defaults, git branch tracking, and focus mode
Auto-pilot — auto-restart stalled agents, auto-approve safe patterns, health-based auto-pause
Real-time dashboard — live status cards, terminal output with ANSI colors, keyboard-driven workflow

![Ashlr AO Dashboard](docs/screenshot.png)

Installation

pip install ashlr-ao

Prerequisites

Python 3.11+
tmux — agent process isolation and output capture
At least one agent backend CLI:
- Claude Code: npm i -g @anthropic-ai/claude-code
- Codex: npm i -g @openai/codex

# Install tmux
brew install tmux        # macOS
sudo apt install tmux    # Linux

Quick Start

# 1. Install and run
pip install ashlr-ao && ashlr

# 2. Open the dashboard
open http://127.0.0.1:5111

# 3. (Optional) Enable LLM-powered summaries
export XAI_API_KEY="your-key" && ashlr

Override the default port with `ASHLR_PORT=8080 ashlr`.