Hive: Terminal Development Orchestration Tool

This is a submission for the GitHub Copilot CLI Challenge

What I Built

Hive is a terminal-native, multi-agent orchestration tool specifically designed to bring an entire development team to your command line. Built on the GitHub Copilot SDK, Hive coordinates a swarm of specialized AI agents—Scouts, Architects, Builders, Guardians, and Runners—that work in parallel to solve complex development tasks.

Instead of just "chatting" with an AI, Hive allows you to delegate entire workflows. You describe a task in natural language (or via voice), and the Hivemind decomposes it, plans the execution, and assigns work to agents that share a memory layer. It features a rich TUI (Text User Interface) that visualizes the entire process in real-time.

Key Features

• 🤖 Multi-Agent Swarm: A Directed Acyclic Graph (DAG) of specialized agents.
  • Scout: Maps the codebase and finds relevant files.
  • Architect: Creates implementation plans and identifies risks.
  • Builder: Writes code and implements features.
  • Guardian: Reviews code for bugs, security issues, and best practices.
  • Runner: Executes tests and validates builds.
• 🔄 Auto-Fix Loop: A self-healing mechanism. If the Guardian finds critical issues, Hive automatically injects new "fix" and "verify" phases into the plan to correct mistakes before they reach you.
• 🎙️ Voice-Driven Control: Control the swarm with your voice. Pause, resume, or abort tasks using natural language commands.
• 📋 GitHub Issue Autopilot: Point Hive at a GitHub Issue URL, and it will automatically context-switch, plan, and implement the fix.
• 📹 Session Recording & Replay: Record your terminal sessions in asciinema format to share "proof of work" or debug agent behavior.
• 📊 Real-Time Cost Dashboard: Track token usage and estimated costs directly in the terminal as agents work.
• 🛠️ Custom YAML Presets: Define custom agent teams and workflows (e.g., "Deep Security Audit" or "Rapid Prototyping") using simple YAML configuration files.

Demo

Project Repository: https://github.com/prkshverma09/hive

Video Walkthrough:

My Experience with GitHub Copilot CLI

Building Hive with the GitHub Copilot CLI and SDK was a transformative experience. The SDK provided the essential building blocks to create a structured cognitive architecture rather than just a simple chatbot.

Here is how the Copilot CLI ecosystem enabled this project:

1. Agent Specialization: The SDK's flexibility allowed me to prompt-engineer specific personas (like the "Guardian" for security or "Architect" for planning) and orchestrate them programmatically.
2. Dev-Tool Integration: Because Copilot CLI is native to the development environment, integrating with local tools like grep, file system operations, and git felt natural and powerful.
3. Rapid Iteration: Using the CLI to generate boilerplate for the TUI components (using Ink) and the complex event-driven architecture saved hours of development time.
4. Dry-Run Testing: The ability to mock the Copilot adapter was crucial. It allowed me to build and test complex agent interactions (like the Auto-Fix loop) without incurring API costs or waiting for network latency, ensuring the orchestration logic was solid before connecting the real intelligence.

The most exciting part was watching the "Auto-Fix Loop" in action for the first time—seeing an agent write code, another agent reject it with a specific error, and the first agent acknowledging the feedback and fixing it, all without my intervention. It felt like pairing with a team that never sleeps.