helmcode

helmcode / agent_crew

Public

Web UI for managing multi-agent AI teams

agentcrew.helmcode.com ai-agents ai-team claude-code
20
1
100% credibility
Found Feb 22, 2026 at 18 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

A web dashboard for building teams of collaborative AI agents, chatting with them, and monitoring their activity in real time.

How It Works

1
🏠 Open the dashboard

You land on the home screen showing your list of agent teams, ready to get started.

2
➕ Start a new team

Click the button to begin building your first team of helpful AI assistants.

3
🤖 Design your team

Name your team, add a leader agent and helpers with special abilities for the job.

4
✅ Review and launch

Double-check everything looks good, then hit create to bring your team online.

5
💬 Chat with your team

Send messages to your leader agent and watch the team spring into action.

6
📊 Follow the progress

See real-time updates on what each agent is doing in the activity feed.

🎉 Task complete

Your agents finish the work, delivering results right in the chat.

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AI-Generated Review

What is agent_crew?

Agent_crew is a web UI for managing multi-agent AI teams, letting you build agent crews with leader and worker agents, deploy them to Docker or Kubernetes, and monitor real-time activity. Built in TypeScript with React, Tailwind, and Vite, it offers a step-by-step wizard for team config, live chat interfaces, and dashboards for agent status and WebSocket-fed activity feeds. It solves the pain of juggling YAML configs or CLI tools for crewai multi agent systems by giving a clean github web interface for agent crewing.

Why is it gaining traction?

Its hook is the intuitive team builder wizard that handles Docker/K8s runtimes visually, plus real-time monitoring with chat, activity logs, and skill status panels—features absent in raw CrewAI setups. Developers dig the full-stack Docker Compose quickstart for local testing, making it dead simple to spin up agent crews without backend hassles. The responsive design shines for managing web development projects, with toasts, search, and E2E-tested flows that feel production-ready out of the box.

Who should use this?

AI engineers prototyping crew agent github workflows for code generation or automation tasks. Teams managing web content or web development projects with multi-agent orchestration, especially those tired of CLI-only tools like CrewAI. DevOps folks deploying agent crews to Docker/K8s who want a web github copilot chat-style interface for oversight.

Verdict

Early alpha with 15 stars and 1.0% credibility—docs are solid, tests extensive (Vitest/Playwright), but low adoption means watch for backend stability. Grab it for agent crewing experiments if you need a polished UI now; skip for mission-critical prod until more battle-tested.

(198 words)

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