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Use multi-agent chat and multiple models to handle complex workflows.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "AgentCrew" yet — see the docs or source repo.
Simulate three agents—a product manager, tech lead, and QA engineer—to discuss building a team task board, then output a requirement list, technical plan, risks, and iteration roadmap.
A structured project plan generated through multi-role collaboration, including requirements, implementation suggestions, risks, and timeline.
Use different models to analyze an AI meeting assistant from market trends, user pain points, and competitor positioning, then combine the findings into a one-page research summary.
A research summary that combines insights from multiple models to quickly assess product opportunities.
Create a multi-agent workflow where one agent gathers requirements, another uses MCP tools to organize materials, and a final agent produces an action checklist and next-step recommendations.
An actionable collaborative workflow output with organized information, task checklist, and follow-up recommendations.
Coordinate specialized AI agents for software development, review, testing, and task tracking.
Build AI agent workflows and automate tasks using MCP-connected services.
Orchestrate multiple AI agents in real time and monitor tasks and artifacts.
Connect multiple AI agents to one chatroom for collaborative conversations.
Investigate agents, conversation threads, and content trust signals for analysis.
Create, manage, and compose AI agents for MCP-compatible clients and tools.