Models / Tools / Serverless agents / One MCP

We are vibe infra.Run your fleets of agents
on autopilot.

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.

Free to sign up. No seats, no minimum - you pay only when your agents run.
claudeflymyai build me an agent that answers our support emails▋
One line. Any agent. 30 seconds.
skill.md Connect using https://flymy.ai/skill.md
HermesOpenClaw+ any agent

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

agents ready
000 ready :: waiting for task
agents--
teams--
active--
handoffs00
done00
trusted by
10,000+
agent builders
200,000+
agents running
Trusted by teams and engineers at
  • Joom
  • Glam AI
  • Nim
  • Prequel
  • Syntx
  • DeepAI
  • Latenode
  • Zedge
  • Ex-Human
  • Perfomante
  • Yma
  • Untapped Capital
  • Selective VC
Artificial Analysis NVIDIA Google Stability AI
one MCP in - all of this behind it

Models and tools.
One MCP.

Discover models and tools through one MCP. Use them together in a workflow that keeps its state and run history.
your people. your agents. one shared space.

Share with teammates.YourAI projects, agents, MCPs, AI models and artifacts.

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.

Bring a teammate into the whole idea.

Share the project with its tools, files and decisions. Keep building from the same place, together.

One project. Everyone in the loop.
IN YOUR SHARED PROJECT example
YouStart the weekend project
Teammate + agentPick up where you left off
project / weekend-buildshared workspace concept
you + teammates + agents
The infrastructure behind your shared project
  • Claude
  • Codex
  • Cursor
  • Windsurf
  • Gemini
  • Copilot
  • Hermes
  • OpenClaw
  • + any MCP client
FlyMy.AI ONE MCP one connection, everything inside

      Shared tools. Shared artifacts. Shared context. The whole project moves forward together.

      Connect your agentRun your ideaBuild with friends

      // your projects, your agents, your friends - one cloud

      one connector in - here's what changes
      Chat → agent → API
      Test your workflow, save a version, and call it from your product. Inspect each cloud run.
      >freeze this as an api
      Local → cloud
      Build and test the workflow in your coding agent. Leave it running in the cloud after the chat ends.
      >take this chat to the cloud, keep it running
      Parallel cloud runs
      Run independent tasks in parallel with serverless agents. Inspect each run and its result.
      >run this across all 3,000 rows in parallel
      Cloud browsers
      Use connected browser tools to fetch pages and automate web steps inside your workflow.
      >send 200 agents to check every page
      Runs on a schedule
      Every morning, every hour, every Monday. Works nights, reports back before you wake.
      >email my users their digest at 8
      MCP
      Tools in the same workflow
      Discover available tools, connect the accounts you need, and call them alongside models.
      >post the report to slack and notion
      State and history stay together
      Your FlyMy.AI workflow keeps its context, files and run history in the cloud. Continue working from your connected coding agent.
      >continue this workflow from codex
      Human in the loop
      On money, sends, deletes - it stops and asks first. Approve in one tap, it goes on. Every run recorded.
      >always ask before refunds over $500
      Built for teams
      Share an agent by link with roles - run-only for sales, edit for engineers - or a connected account by email for a set number of days. One dashboard of every run.
      >give the team run-only access
      FlyRouter™ - models and tools

      Every lane. One router.

      Discover a model or tool, inspect its inputs, then use it inside the same workflow. FlyMy.AI keeps execution and run history together.

      Product in action

      Your working workflow.
      A cloud API.

      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

      Controls

      Set the budget.
      See every run.

      Choose the model. Gate sensitive actions. Keep spend, calls and results in one run history.

      run / video-workflowexample
      model.choice
      set by you
      budget.limit
      $0.50
      run.cost
      $0.27
      credentials
      vault
      send.email
      awaiting approval
      run.trace
      recorded
      spend / limit$0.27 / $0.50

      Model calls, tools, latency, cost and results - attached to the run.

      Set the limit before you run.

      Give the run a budget. Track its spend against the limit.

      Switch to a cheaper model.

      Choose a lower-cost model for the next run. Keep the workflow and its history.

      Approve before it acts.

      Put an approval gate before a send, payment or delete.

      See what happened.

      Inspect calls, latency, cost and results. Find the step that needs attention.

      // connect your coding agent. keep control of what runs.

      Ways in

      Your coding agent already
      knows how to use this.

      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.

      Of 397 companies in YC's two newest batches, 116 - 29% - are building agents, models and tools.
      Their AI workflows can run here today.

      The code is already written.
      The winners will be
      the teams that run it.

      Program your first agent in plain text - get back a versioned endpoint.