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Ai Agency

AI community

Description

🌐 [English](README.md) | [한국어](docs/README_ko.md) | [日本語](docs/README_ja.md) | [中文](docs/README_zh.md) | [Español](docs/README_es.md)

Installation

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

README

🌐 [English](README.md) | [한국어](docs/README_ko.md) | [日本語](docs/README_ja.md) | [中文](docs/README_zh.md) | [Español](docs/README_es.md)

ai-agency

**Stop re-explaining your project to AI.**

A vendor-neutral CLI that builds a persistent context layer for your project — so every AI session (Claude Code, Codex, Cursor, Gemini, Copilot, Windsurf, Aider) starts already knowing your codebase, conventions, and business rules.

[![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](LICENSE) [![Platform](https://img.shields.io/badge/platform-macOS%20%7C%20Linux-lightgrey.svg)](#requirements) [![Made with Bash](https://img.shields.io/badge/made%20with-Bash-1f425f.svg)](src/) [![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg)](#contributing) [![Sponsor](https://img.shields.io/badge/Sponsor-%E2%9D%A4-red?logo=github)](https://github.com/sponsors/itdar)

ai-agency init — scan, classify, scaffold, validate



Pick the PM, pick sub-agents — panes spawn and coordinate via task-board.md
Pick PM from the menu, pick which specialists to bring — panes spawn and coordinate through a shared task-board.md.

Try it in 60 seconds

brew install itdar/tap/ai-agency

cd ~/your-project
ai-agency init      # scans, generates AGENTS.md + .ai-agents/ context
ai-agency           # pick an agent — it's already briefed

No Homebrew? `curl -fsSL https://raw.githubusercontent.com/itdar/ai-agency/main/src/install.sh | bash -s -- --global`

Works on macOS and Linux. Don't like it? `ai-agency uninstall` removes the tool, and `ai-agency clear` removes everything it generated — [no residue](#updating--uninstalling).


Why

Every new AI session starts from zero. The model burns tokens figuring out:

  • "What framework is this?" — reads 20 files
  • "What are the team conventions?" — guesses w