Learn Hyperagent
Core concepts and reference for working with Hyperagent.
Hyperagent is a platform for building AI agents that do real work. Not chatbots that answer questions and forget you. Agents with names, instructions, tools, knowledge, and multiple ways to start a run.
You configure an agent once. Then you use it across threads, trigger it from Slack, Telegram, email, or a webhook, schedule it on a timer, or let it watch for changes on its own. Everything it creates (documents, tables, webpages, images, videos, maps) lives in your Library and is searchable forever.
The platform compounds. Skills let you teach reusable methods that any agent can pick up. Memories (global or agent-scoped) let agents remember what matters across every conversation. Rubrics measure whether your agents are actually getting better over time. Teams let you share everything with colleagues.
Where do you want to start?
I'm new to Hyperagent
Start with how the pieces fit, then agents, threads, skills, and memories.
Make my agent better
Teach it skills, build its memory, and measure quality with rubrics. This is where agents start compounding.
Share with my team
Your agent works. Now your team needs it. Workspaces, sharing modes, and access control.
Configure an agent
Set its identity, tools, skills, knowledge, model, invocations, and autonomy.