Start here
Agents carry the job, threads hold the work, and everything they learn stays with them.
Hyperagent is where you work with AI agents that do real work. Not chatbots that answer questions and forget you. Agents with names, instructions, tools, and knowledge that stays.
The whole product fits in one loop:
Your path
Four short lessons, each ending where the next begins. An hour, start to finish.
Your first thread
Do real work in five minutes with nothing configured. Start a thread.
Your first agent
Turn a job worth repeating into a teammate. Make an agent.
Teach it something
Save your first memory and feel the product learning with you. Teach it.
Put it where you work
Move the agent to Slack, a schedule, or your inbox. Pick a surface.
Three words you'll see everywhere
- A thread holds one piece of work: the conversation, the tools that ran, and everything produced. Threads →
- An agent is a teammate you configure once: name, instructions, tools, knowledge. The same agent shows up in a thread, in Slack, or on a Monday schedule. Agents →
- Learning is how agents get better: they propose memories and skills from real runs, and you decide what sticks. Learning →
Curious how all the pieces connect before you start? How Hyperagent fits together draws the whole system.