Skydive agents maintain continuous memory across every interaction, so context, corrections, and decisions accumulate over time instead of vanishing when you close the tab. The agent remembers what you taught it last week and applies that judgment to new requests without you repeating yourself.
Agents keep continuous memory across sessions, so corrections and context accumulate instead of resetting.
Each agent has its own computer with a browser, so it logs into your existing tools the way a human operator would, navigating across systems no one has wired an integration for.
When multiple people train the same agent, it becomes sharper than any individual could make it. Judgment becomes infrastructure, not a feature you toggle.
Workflow builders make you the engineer. You decide the how and construct every step. Skydive builds the agent from your description of the outcome. No canvas to construct, no logic to wire, no prompt engineering. Pre-built templates are productive on day one.
Most AI tools give you one assistant in a chat that closes when the tab closes. Skydive ships a team. Work persists, hands off between agents, and keeps running while you sleep.
Self-serve, prosumer-priced, no IT review. Granular permissions let anyone on the team create agents, and useful agents spread the way useful things inside companies always spread.
We don't just build Skydive, we run our company on it. Our team puts agents to work every day (they even helped build this page).
"Skydive truly transforms your entire company by automating all of the tedious tasks that consume so much of your day"
Chatbots reset when the conversation ends. Skydive agents maintain continuous memory across every interaction, so context, corrections, and decisions accumulate over time instead of vanishing when you close the tab. The agent remembers what you taught it last week and applies that judgment to new requests without you repeating yourself. Memory is infrastructure, not a feature you toggle.
Multiplayer agents carry more accumulated taste than any one operator alone. When five people train the same agent, it becomes sharper than any individual could make it, because it learns from every correction and preference. Permissions control who can view, use, or edit each agent, and the judgment compounds with every new user.
No. Describe the outcome you need, and Skydive builds the agent around it. There's no workflow canvas to construct, no prompt engineering, and no logic to wire. The agent figures out the steps and adapts as the work evolves. The more you work with an agent, the sharper it gets.
Each agent has its own computer with a browser. Agents log into your existing tools, navigate pages, pull data, and update systems the way a human operator would, no API integration required. Memory spans tools without formal connectors. The agent remembers what it did in Gmail, what it updated in your CRM, and what it pulled from Stripe, all in one continuous context.
Skydive agents handle real work, not suggestions. They draft emails, update CRMs, pull reports, triage support tickets, and run recurring tasks on a schedule. The output is finished work, not a dashboard you have to check. Get time back this week, not next quarter.
Yes. Agents can run on a schedule, handling recurring work without manual triggering. A daily report agent remembers what it flagged yesterday and tracks progress over time without you prompting it every morning. Recurring work gets smarter every cycle.
