Skydive

Skydive lets teams create AI agents that complete real work inside the tools they already use. Instead of relying on another chatbot or manually building workflows, users describe the outcome they need and Skydive builds an agent around it. No code, prompt engineering, or blank canvas is required. Every agent has its own computer with a real browser. It can log into tools, click, type, pull data, and complete tasks from start to finish, just like a person. If you can do something on a computer, your agent can do it too. Teams are not limited to one assistant. They can build a crew of agents, each with its own role, that hand off tasks and share context to tackle bigger jobs. Agents can work wherever teams already do, including the web, Slack, email, and iMessage, with one identity and memory across channels. Skydive agents can also work independently. Teams can turn recurring tasks into routines so agents monitor work, take action, and deliver results on schedule, even when no one is at their computer. Agents improve over time as well. Correct an agent once, and it remembers, allowing useful judgment to carry across conversations and the wider team. Skydive connects with tools teams already use, including Gmail, GitHub, Notion, and Linear. Agents can read information, draft content, schedule tasks, and take action on a team’s behalf. By combining autonomous agents, shared context, browser-based computer access, and integrations, Skydive helps teams automate real work while keeping people and their workflows connected. This gives teams a flexible way to delegate work without replacing the systems they already rely on. Rather than simply answering questions, Skydive agents can take action, coordinate with other agents, and keep work moving across steps. The result is a more practical approach to AI for team workflows.