TeamHero
TeamHero is an open-source platform for managing AI agent teams with project management discipline. It provides a dashboard, command center, task system, agent memory, knowledge base, and conflict prevention. It is for developers who use Claude Code and want structured orchestration of multiple agents.
✨ Key features
- Web dashboard to manage your entire agent team at a glance.
- Command Center terminal to talk to your orchestrator agent.
- Full task lifecycle with plans, versions, approvals, and deliverable tracking.
- Persistent short and long-term memory for every agent across sessions.
- Knowledge base to promote deliverables into a searchable library.
- File-scope declarations prevent agents from overwriting each other.
🎯 Use cases
- Orchestrate multiple AI agents working on the same codebase with structured plans.
- Track deliverables and approvals for agent tasks in a project management style.
- Build a team of specialized agents with persistent memory and shared knowledge.
- Prevent file conflicts when agents work on shared files.
📦 Installation
🧰 Requirements: Requires Node.js 18+ and Claude CLI (install via npm).
git clone https://github.com/sagiyaacoby/TeamHero.git my-team
cd my-team
npm install
🚀 Usage
Launch:
Windows:
launch.bat
Mac / Linux:
bash launch.sh
The dashboard opens at http://localhost:3777. From there, open the Command Center and start building your team.
⚠️ Good to know
This is a builder platform requiring comfort with CLI and Node.js; no other limitations stated.
❓ FAQ
What is TeamHero?
TeamHero is an open-source platform for managing AI agent teams with project management discipline, including dashboards, task tracking, and conflict prevention.
Who is TeamHero for?
It is for developers who work with Claude Code and want structure around their agents, with plans before execution and tracked deliverables.
What are the prerequisites?
You need Node.js 18+ and the Claude CLI, which can be installed via npm install -g @anthropic-ai/claude-code.
How do I launch TeamHero?
After cloning and installing, run launch.bat on Windows or bash launch.sh on Mac/Linux. The dashboard opens at http://localhost:3777.
📊 Repository
🤖 Overview, features, install steps and FAQ were generated from the project's README on Sep 4, 2026. Always check the original source before running commands.