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Coordinate AI agent teams with shared memory, kanban workflows, and live oversight.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "agent-hq" yet — see the docs or source repo.
Use agent-hq to configure a collaboration environment for a software development team: create a shared memory space, a kanban board with To Do/In Progress/Done columns, and register three AI agents: product manager, backend developer, and QA engineer. Describe each agent’s responsibilities and workflow.
A configured shared workspace, kanban structure, agent registry details, and a clear multi-agent workflow plan.
Create a research collaboration board in agent-hq, register three AI agents for information retrieval, note organization, and insight synthesis, and define shared memory rules so they can collaborate on 'generative AI market trends' with live human progress visibility.
A research task board, agent role assignments, shared memory rules, and a progress view for human oversight.
Design a DevOps collaboration system with agent-hq: register AI agents for monitoring analysis, incident investigation, and change logging, and create shared context plus a task board to handle production alerts while letting on-call engineers monitor status anytime.
An agent registry plan for alert response, shared context design, kanban workflow, and human oversight approach.
Orchestrate multiple AI agents in real time and monitor tasks and artifacts.
Create, manage, and compose AI agents for MCP-compatible clients and tools.
Run and manage H agents directly from any MCP client.
Expose GitHub search, issue handling, and PR review to AI agents.
Let AI agents hire humans for meetings, errands, and real-world tasks.
Search, audit, and install open-source AI skills and MCP servers.