Run thousands of serverless agents on autopilot. Any harness, any task - with all the models, tools, MCPs and compute your agents need.Run thousands of serverless agents on autopilot. Any harness, any task - with all the models, tools, MCPs and compute your agents need.
Paste it into the coding agent you already use. It wires up the models, tools, memory and cloud runtime for you. Or set up MCP by hand
Deploy it, build on it, share it. One link hands over the tools, the files and the context - your teammate in Codex, you in Claude, same project.
Shared tools. Shared artifacts. Shared context. The whole project moves forward together.
// your projects, your agents, your friends - one cloud
Discover a model or tool, inspect its inputs, then use it inside the same workflow. FlyMy.AI keeps execution and run history together.
Save a workflow version and run it by API or schedule, with state and history attached. Versioning fixes the workflow definition; external model outputs can still vary.
// three public builds show the workflows and how to run them
Choose the model. Gate sensitive actions. Keep spend, calls and results in one run history.
Model calls, tools, latency, cost and results - attached to the run.
Give the run a budget. Track its spend against the limit.
Choose a lower-cost model for the next run. Keep the workflow and its history.
Put an approval gate before a send, payment or delete.
Inspect calls, latency, cost and results. Find the step that needs attention.
// connect your coding agent. keep control of what runs.
Hand your agent the guide and it wires itself. Or set up MCP, the API or an embedded deployment by hand - same cloud behind all of them.
Program your first agent in plain text - get back a versioned endpoint.