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Enable multi-agent coding workflows, tool routing, and live AI collaboration.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mousecat" yet — see the docs or source repo.
Design a multi-agent workflow for a Python web API project: have a requirements agent break down tasks, a coding agent generate code, and a testing agent write and run tests. Output responsibilities and handoff order for each step.
A structured multi-agent development workflow with roles, execution order, and handoff methods.
Configure a tool-routing plan for an AI coding host: send code generation requests to a coding model, documentation queries to a search tool, and deployment operations to a DevOps tool. Explain the routing rules.
A clear tool-routing configuration showing how different tasks are dispatched to the right AI tools.
Show a live visualization plan for a multi-agent coding session, including active agents, task progress, message flow, and failure nodes, so I can monitor the full development process.
A live collaboration visualization plan for tracking multi-agent status, progress, and failures.
Provide AI agents with coding standards, testing, planning, and requirements guidance.
Give AI coding agents filesystem, Git, database, and compute tools via MCP.
Delegate coding tasks to Codex via MCP with security and result checks.
Give AI coding assistants memory, code graph insight, and safe multi-agent coordination.
Let AI control macOS apps, mouse, and keyboard to automate tasks.
Enable AI coding agents to communicate, share state, and coordinate work in real time.