Oceum isn't just a product. It's a system that runs itself. Eight autonomous agents handle security, lead generation, uptime monitoring, support triage, content management, revenue tracking, deployment health, and executive reporting — 24/7, without human intervention.
This isn't a demo. These agents run on the same Oceum platform we ship to customers, using the same SDK, the same fleet memory, and the same autonomy model. Every feature exists because we needed it first.
The fleet
deploys-latest-deploy — which Content reads for changelogs and Briefing reads for executive reports.
Cross-agent memory in practice
The fleet isn't eight isolated programs. They coordinate through Oceum's cross-agent memory system — shared context infrastructure where agents write insights that other agents read.
The most compelling example is the Deploys → Content → Briefing chain. Every six hours, Deploys checks Vercel and writes deployment data to fleet memory. At noon, Content reads that memory to generate changelog entries without any human input. On Monday morning, Briefing reads both Deploys's deploy data and Content's content status to compile the weekly report.
No agent directly calls another. They communicate through memory entries with scoped visibility, categorized metadata, and configurable time-to-live. A security insight from Security (category: error_pattern, TTL: 7 days) is different from a deployment summary from Deploys (category: insight, TTL: 24 hours). Each entry has a maximum of 10,000 characters and a defined scope — either visible to the entire fleet or targeted at a specific agent.
Fleet reputation
Every agent has a reputation score — a weighted composite that reflects reliability over time. The formula weights success rate at 50%, liveness (heartbeat consistency) at 20%, task volume at 15%, and status stability at 15%.
Reputation isn't just a dashboard metric. It's operational intelligence. When an agent's score drops, it's a signal that something has changed — higher error rates, missed heartbeats, or instability. Operators can use this signal to demote an agent to a lower autonomy tier until the issue is resolved.
The zero-person ops team
Across a typical week, these 9 agents collectively execute dozens of autonomous tasks: security audits, lead scoring, uptime checks, ticket triage, content management, revenue tracking, deployment monitoring, and executive reporting. No human intervenes unless an agent flags something that requires judgment.
This is what Oceum was built for. Not a single clever chatbot. A coordinated fleet that runs an entire operational stack, governed by graduated autonomy, secured by a zero-knowledge vault, and connected through shared memory.
We built Oceum because we needed it. These 9 agents are the proof. If you're running agents in production and struggling with coordination, visibility, or control, you're solving the same problem we already solved.