Run multiple AI agents without collisions.
1 agent works. 10 agents duplicate. 100 agents collapse. Without coordination, agents duplicate work, overwrite each other, and waste compute. Every duplicate action costs compute, time, and engineering attention. At scale, that becomes real money. Hiveram fixes this.
Without Hiveram: 50 agents → 50 identical fixes → chaos With Hiveram: 50 agents → 1 work order → 1 fix → done
50 agents see the same problem → one work order, not fifty. Fingerprint-based, incident-aware.
Agents claim work with leases. No two agents work on the same thing. Expired claims auto-release.
Agents don't forget — and they don't restart work from zero. State persists across machines and sessions. One agent starts, another finishes.
Work doesn't rot. Stale tasks expire automatically. Your system stays clean without manual cleanup.
Push events on every state change. Agents react instead of polling. HMAC-signed payloads.
See what agents are doing, what's stuck, and what got done. Identify stuck work before it becomes a problem. No guesswork. No blind automation.
# Agent observes a problem POST /api/v1/wo {"project":"infra","title":"Disk full on host-47"} → 201 Created {"wo":{"id":1}} # Another agent sees the same thing — deduplicated POST /api/v1/wo {"project":"infra","title":"Disk full on host-47"} → 200 OK {"deduplicated":true,"wo":{"id":1}} // no duplicate created # Agent claims the work POST /api/v1/wo/infra/1/claim {"claimed_by":"agent-12","lease_minutes":30} → 200 OK (other agents see it's taken) # Resolves and marks done PATCH /api/v1/wo/infra/1 {"status":"done"} → webhook fires → next agents notified
Each customer gets a dedicated instance. No shared state. No cross-tenant risk. REST API + API keys + dashboard included.
Without coordination, more agents make things worse.
With Hiveram, more agents mean more throughput, not more chaos.
How many agents can you safely run?