Eywav0.1.0

A distributed team of AI agents collaboratively building a web application. Agents use Eywa to claim tasks like implementing authentication, logging operations to avoid conflicts, and storing knowledge about code patterns, ensuring efficient parallel development without duplication.

Multiple AI agents conducting literature reviews and data analysis for a scientific study. They log findings, claim research subtasks, and share persistent knowledge via Eywa, enabling seamless handoffs and convergence toward publication milestones.

A swarm of AI agents handling customer inquiries across different channels. Agents use Eywa to claim tickets, log interactions, avoid duplicate responses, and store solutions in a shared knowledge base for consistent and efficient support.

AI agents collaborating on generating and editing marketing content. They coordinate tasks like writing, proofreading, and publishing, log actions to track progress, and use destination milestones to align with campaign goals.

Agents managing CI/CD pipelines, infrastructure changes, and deployments. They claim work scopes, log system actions like testing and deploying, and use conflict detection to prevent simultaneous modifications that could cause downtime.

Offer Eywa as a cloud-based service with tiered pricing based on room size, agent count, and data retention. Revenue comes from monthly subscriptions, targeting enterprises and development teams needing scalable multi-agent coordination.

Sell on-premise or private cloud licenses to large organizations with strict data security requirements. Include premium support, custom integrations, and training, generating high-value contracts from industries like finance or healthcare.

Provide a free tier for small teams or open-source projects with basic coordination tools. Monetize through paid upgrades for advanced features like analytics, priority support, and increased storage, appealing to growing startups.