Hiveramv1.0.0

Multiple OpenClaw agents collaboratively deploy and monitor microservices. Agents claim work orders for build, test, and deploy steps, share context via Workledger, and handoff tasks without race conditions or duplicated work.

Several agents process large datasets in parallel by claiming work orders for data chunks. Workledger ensures each chunk is processed exactly once through lease-based coordination and syncs progress across agents.

Agents running on different machines coordinate on complex projects like CI/CD or batch jobs. Workledger provides shared work order management, context sync, and automatic task re-assignment if an agent fails.

A swarm of AI agents handles security incidents: one triages alerts, another investigates, and a third remediates. Workledger tracks each incident as a work order with history and dependencies, enabling full handoff and audit trail.

Multiple agents collaborate on R&D tasks such as literature review, experiment design, and report generation. Workledger maintains shared context and dependency graphs to avoid redundant work and ensure coherent results.

Customers pay based on the number of work orders created or processed, plus storage for context data. The free tier supports small teams; larger plans include priority support and advanced features like MCP integration.

Large organizations deploy Workledger on-premises within their VPC. Licensing is per agent or per node, with annual contracts including dedicated support and custom integrations.

Third-party tools and platforms integrate Workledger as a coordination layer via MCP or REST API. Revenue comes from per-call fees or a share of the platform's subscription tied to usage of the coordination service.