Run agents as
infrastructure.
Managed execution for long-lived agents — schedulers, checkpoints, rollbacks and auto-scale built in. You bring the agent; we keep the loop alive, the state intact and the cost predictable.
The ops layer your agents were missing.
Running an agent in a notebook is different from running it as a service. This is the gap: schedulers, state management, version control and auto-scale for agent workloads specifically.
Cron + webhook triggers
Schedule agents on a cron expression or fire them on an incoming HTTP event. The same agent handles both with no code changes.
Durable checkpoints
State is checkpointed between steps. If a run fails mid-way, it resumes from the last clean checkpoint — no work lost, no duplicate side effects.
Zero-downtime rollbacks
Version-pin any agent deployment. Roll back to a previous version in one click. Traffic drains cleanly with no in-flight requests dropped.
Auto-scale
Scale out by concurrent invocations or queue depth. Scale in to zero when idle. You set the bounds; hosting manages the fleet.
Per-agent resource quotas
Token budgets, CPU time limits and cost caps applied per agent. One runaway agent can't drain the account.
FIFO queue with retry
All triggered runs enter a durable queue with configurable retry policy. No fire-and-forget HTTP calls that silently disappear.
Traffic splits
Route a percentage of invocations to a new agent version before full rollout. Canary deploys without the infrastructure boilerplate.
Audit log
Every trigger, execution, checkpoint and rollback is logged with timestamps and version attribution. Ready for incident review.
Hive + API deployment
Deploy from Hive's console or from the REST API. Integrate agent deployment into your CI/CD pipeline without custom scripts.
Workloads we're targeting
- ▸Always-on support or monitoring agents that must never miss an event
- ▸Batch jobs that sweep data sources, databases or APIs on a schedule
- ▸Webhook listeners that fan out to many parallel agent invocations
- ▸Long-running research workflows that span minutes or hours per run
- ▸Gradual rollouts of updated agent versions behind traffic splits
- ▸Compliance-sensitive workloads needing checkpoint audit trails
Hosting vs. Agents
The Agents runtime gives you the building blocks — memory, tools, traces. Agent Hosting is the ops layer on top of it: how agents are triggered, how their state survives failures, how versions roll out and roll back, and how they scale under load.
Where we're going
-
in beta now
Scheduler + queue
Cron and webhook triggers with a durable FIFO queue and configurable retry policy.
-
next
Canary + rollback
Traffic splits between agent versions, one-click rollback on error-rate spikes.
-
planned
Multi-region failover
Active-active agents across regions with state replication and automatic failover.
Agent Hosting beta is invite-only.
Tell us your agent type, trigger pattern and expected concurrency and we'll reach out when your slot is ready.
Request Agent Hosting beta access →Ship an agent on your own infrastructure.
Hive is live today. Agents, Inference, and GPU are in private beta — request access and we'll reach out.