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Coordinate multi-agent AI workflows across clients with delegation and shared artifacts.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "kitty-hive" yet — see the docs or source repo.
Using kitty-hive, design a multi-agent software development workflow where an architect agent breaks down requirements, a coding agent implements features, and a testing agent validates results while sharing artifacts and status.
An executable multi-agent workflow plan with role assignments, task handoffs, and artifact-sharing methods.
Use kitty-hive to plan a federated collaboration setup where AI agents on different machines handle source discovery, summarization, and final synthesis, then return unified results.
A cross-machine collaboration plan describing agent responsibilities, communication flow, and final result aggregation.
Design a kitty-hive workflow where one agent creates a requirements document, another reads it to produce an implementation plan, and a third continues execution while sharing updated context.
A collaborative workflow design showing context continuity and artifact reuse for sequential task handoffs.
Enable collaborative AI agents with shared mailboxes, identity, and notifications.
Enable AI agents to manage TheHive cases, alerts, observables, and tasks.
Run traceable AI agents via MCP with knowledge and Kubernetes operations.
Create, manage, and compose AI agents for MCP-compatible clients and tools.
Give AI coding agents filesystem, Git, database, and compute tools via MCP.
Control kitty terminal windows, tabs, layouts, and appearance through AI.