Run AI agents where their memory lives.
A deployment platform for Python and TypeScript agents, with a managed vector database on the same internal network. We did the DevOps so you don't have to.
The Architecture of the Upper Air.
Secure microVMs, a managed Qdrant cluster and the control plane that keeps them in step — the parts you would otherwise wire together yourself.
Vector Memory.
Own your corporate memory with an enterprise-grade deployment of open-source Qdrant, replicated across regions from Performance up. 100% API compatible.
[ LEARN MORE ]Agent Compute.
Deterministic scaling for autonomous agents. Co-locate compute with memory for in-region retrieval. Pay by the second.
[ LEARN MORE ]Scheduled Tasks.
Run an agent on a recurring schedule — runs start on the minute you set, at intervals from every 5 minutes. No scheduler to babysit, no infrastructure of your own; every run is captured with its own history and logs.
READ THE SCHEDULED TASKS DOCSA precise recurring schedule on any task agent — set it once.
Every run recorded with its outcome — fired, skipped, or missed.
Per-run logs, so you can see exactly what each execution did.
Deploy the Hive in three commands.
Built with a production-ready Go CLI. Authenticate, package, and deploy your code to three continents. No Dockerfiles required. No AWS IAM roles to configure.
READ CLI DOCUMENTATION ↗Hard caps, not surprise bills.
Ship your first agent today.
Compute and vector memory, co-located in the region your agent runs in — with multi-region replication from Performance up. Start free — no card required.