A Staff that gets better
Build durable specialists with a role, personality, model, skills, tools, memory, performance history, and actionable improvement suggestions.
Meet Staff →Build durable specialists, deploy them as agents and coordinated crews, and automate real work from one private command center.
Start with chat. Grow into coordinated crews, repeatable pipelines, and autonomous schedules—without giving up control of your data.
Build durable specialists with a role, personality, model, skills, tools, memory, performance history, and actionable improvement suggestions.
Meet Staff →Launch recipe-driven teams with explicit roles, controlled handoffs, shared context, and live progress.
Explore colonies →Chain agents sequentially or in parallel, pass outputs forward, and turn good prompts into durable systems.
Build a pipeline →Deploy a Staff member or create a focused worker with its own prompt, model, tools, files, chat, and persistent memory.
Build an agent →Connect MCP servers, sandboxes, web search, GitHub, and your own APIs. Permissions stay explicit per agent.
See skills & tools →Run schedules and webhooks with bounded concurrency, durable history, and visible failure states.
Automate work →
Staff gives every specialist an identity that survives the task: role, personality, operating prompt, model preference, tools, skills, and memory. Hive carries that identity into individual agents and Colony missions.
Colony recipes turn a complex goal into a controlled sequence of specialists. Every handoff is visible. Every artifact has an owner.
Release readinessDevelopment team · Running
Hive runs on your hardware, stores state locally, and keeps agent execution inside hardened sandboxes. Cloud models are optional—not the architecture.
Agents, teams, models, schedules, tools, and the evidence they produce.



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